RJ Reynolds
in the Matter of: Environmental Tobacco Smoke Review Panel Volume I.
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ORIGINAL
UNITED STATES ENVIRONMENTAL PROTECTION AGENCY
SCIENCE ADVISORY BOARD
INDOOR AIR QUALITY AND TOTAL HUMAN EXPOSURE COMMITTEE
- - - - - - - - - - - - - - - - - - -X
In the matter of: .
ENVIRONMENTAL TOBACCO . VOLUME I
SMOKE REVIEW PANEL :
---X
Tuesday, July 21, 1992
Main Ballroom
Holiday Inn
4610 North Fairfax Drive
Arlington, Virginia 22203
The ENVIRONMENTAL TOBACCO SMOKE REVIEW PANEL MEETING
of the Indoor Air Quality and Total Human Exposure Committee of
the Science Advisory Board was convened, pursuant to notice, at
9:15 a.m.
APPEARANCES: MEMBERS:
DR. MORTON LIPPMANN, Chairman
DR. JAN A. J. STOLWIJK, Vice Chairman
DR. JOAN DAISEY
DR. VICTOR G. LATIES
DR. PAUL LIOY
DR. JONATHAN M. SAMET
DR. JE'ROME J. WESOLOWSKI
CONSULTANTS:
DR. DELBERT EATOUGH
DR. S. KATHERINE HAMMOND
DR. GEOFFR9Y KABAT
DR. MICHAEL D. LEBOWITZ
DR. HOWARD ROCKETTE
DR. SCOTT'T. WEISS
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APPEARANCES: (Cont.)
SCIENCE ADVISORY BOARD STAFF:
MR. A. ROBERT FLAAK
MS. CAROLYN OSBORNE
EPA STAFF:
DR. DON BARNES
DR. JENNIFER JINOT
DR. FARLAND
DR. STEVEN BAYARD
OTHER APPEARANCES:
DR. FERNANDO MARTINEZ
DR. KENNETH BROWN
DR. JUDSON WELLS
SPEAKERS:
DR. PAUL SWITZER
DR. MAXWELL LAYARD
DR. PETER LEE
DR. STEPHEN SEARS
DR. GIO GORI
DR. JOHN TODHUNTER
DR. PHILIP WITORSCH
DR. GARY GIOVINO
DR. JOHN BANZHAF
DR. ELIZABETH FONTHAM
DR. RON DAVIS
DR. CLARK HEATH
DR. JEFE WAGENER
DR. MICHAEL OGDEN
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C O N T E N T S
PAGE
Welcome and Opening a 5
Overview, Introductions and Disclosure 11
Overview of Draft Document
Presentation by Dr. Farland 30
Presentation by Dr. Steven Bayard 38
Committee Review of Appendices A - E
Appendix A - Reviews of Epidemiological
Studies on ETS and Lung Cancer 46
Appendix B - Method for Correcting Relative
Risk for Smoker Misclassification 53
Appendix C - Review format for case-control studies 71
Appendix D - Lung cancer mortality rates
attributable to spousal ETS in individual
epidemiologic studies 75
Appendix E - Statistical Formulae 77
Committee Review of Chapters 4, 5 and 7 80
Chapter 4 - Hazard Identification I:
Lung cancer In active smokers, long-term
animal bioassays, and genotoxicity studies 81
Chapter 5 - Hazard Identification II:
Interpretation of epidemiologic studies
on ETS and lung cancer
92
Chapter 7 - Passive smoking and respiratory
disorders other than cancer 109
Public Comment Period 145
Presentation by:
146
Dr. Paul Switzer, Tobacco Institute Ln
Dr. Stephen Sears, R.J. Reynolds Ln 185
Dr. Maxwell Layard, Tobacco Institute ,`,°, 158
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CONTENTS: (Cont.)
PAGE
Dr. John Todhunter, Tobacco Institute 214
Dr. Gio Gori, Tobacco Institute 203
Dr. Philip Witorsch, Tobacco Institute 226
Dr. Peter Lee, Tobacco Institute 168
Dr. John Banzhaf, Action on Smoking
OR Health
242
Dr. Ron Davis, Coalition on Smoking
OR Health 269
Dr. Clark Heath, Coalition on Smoking
OR Health
278
Dr. Jeff Wagener, Coalition on Smoking
OR Health
283
Dr. Gary Giovino, CDC 238
Dr. Elizabeth Fontham, Speaking on own Behalf 255
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P R O C E E D I N G S
(9:15 a.m.)
MR. FLAAK: I'd like to welcome everybody here
today and we're going to start our meeting now. Dr. Lippmann
will be starting off the meeting in just a moment.
WELCOME AND OPENING THE MEETING
DR. LIPPMANN: On behalf of the Indoor Air Quality
and Total Human Exposure Committee of the Science Advisory
Board, I welcome you to this review of the EPA risk
assessment document entitled Respiratory Health Effects of
Passive Smoking: Lung Cancer and Other Disorders.
Bob is with us this year. Last year he might have
used his broken shoulder to avoid another assignment. He
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left us to d3ss#pate in the Desert Storm exercise, and Sam
Rondberg of the SAB staff filled in ably for him. This year,
however, it's up to Bob to help us pull together our
deliberations and get out this Committee's report on the
review of the document in good order. I hope he doesn't use
his bad right arm as an excuse for any delay in getting this
done, but I'm sure he won't.
This, as I indicated in my opening remark, is a
second meeting on a document of this title, or a similar
title. We had a meeting previously in which we looked at a
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first draft, gave our comments and suggestions for
improvement. The Agency decided that it was sufficient
grounds to do a major rewrite, which they've done.
They've made a very serious attempt to address the
concerns we identified and have come back with a document
that clarifies their position on the state of the science in
lung cancer amongst spouses in relation to ETS exposure, and
perhaps have done considerably more writing concerning the
relationships between ETS and respiratory effects in
children, something that we had specifically asked them to
do.
So this Committee, largely the same committee that
participated in the previousf4rround, will be offering
comments and suggestions on the adequacy of this current
draft for the purpose of the risk assessment.
We're fortunate that Dr. Scott Weiss, who was a
corresponding member last time, unable to be with us then, is
here today to be a full participant. We have added Dr. Paul
Lioy to the panel. He's just coming in now, so this is his
first time as a reviewer on this issue.
Two people who were present the last time had
schedule conflicts and could not be with us this time. Dr.
Blot and Dr. Benowitz regret that they will not be physically
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here, but they have provided us with extensive written
commentary and in the appropriate places I will read some of
their commentary so that we can benefit from that.
Two of our members are not here today: Dr. Larson,
a recently appointed member,to the Committee; and Dr. Woods,
who was a participant last time, are today participating in a
review'of the engineering lab's work on indoor air. There
was an unfortunate overlapping of interest, and some of our
engineering members of this panel are also members ad hoc of
the engineering committee's panel on research on indoor air
issues.
I, myself, spent yesterday with the engineering
panel, along with Drs. Larson and Woods, but I needed to be
here today and left our participation in that panel's work in
the capable hands of Woods and Larson for today. That work
will be finished today and they will participate with us
tomorrow in the review. And the fact that we're discussing
the chapters out of order has something to do that. Their
primary review assignments will be covered tomorrow.
I will turn the position of speaker for the moment
over, first, to Don Barnes, the Staff Director for the EPA
Science Advisory Board, and then to Bob Flaak, the Designated
Federal Officer for this particular Committee. Don?
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DR. BARNES: Again, on behalf of the EPA and the
Administrator, I'd like to welcome everyone to this review.
I'd like to say just a few words putting this review in
context.
, First of all, I know that some of you in the back
are having difficulty hearing. Just as it is in church,
there are plenty of seats up here in the front pews, if you'd
like to come forward before the collection, we'd be more than
glad to have you. Please don't wait for the first hymn, just
please come forward.
The Science Advisory Board was established by
Congress in 1978. The purpose of that particular legislation
was to make sure that EPA had some outside review of the
technical documents that supported EPA regulations. So we
always like to say that our rruare on the Science Advisory
Board is to provide critical review of the technical
underpinnings of EPA's positions.
Our role is.not to comment on those positions
themselves -- that is the risk management or policy positions
which are built upon their technical underpinnings -- but to
look at the technical basis for that material. It is then up
to the risk managers, it is up to the administrators, it is
up to the EPA officials to go ahead and then structure the
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policy on top of that.
So our purpose here today is not to examine what
EPA is going to do about environmental tobacco smoke. our
purpose here today is to look at the analysis that they have
conducted upon which they will then build that policy.
The Science Advisory Board is used to doing these
sorts of reviews. As I say, we've been doing that for about
a decade and a half now. The total Science Advisory Board
consists of about 80 members. All of these are people who
are outside of EPA. They're all outside of the-Federal
Government. They are scientists and engineers from across
the country drawn from academic institutions, groups that are
affiliated with industry, people who have affiliations with
environmental groups. Our only concern is we have people who
are technically qualified to review these issues.
Also, we conduct our operations under the Federal
Advisory Committee Act, and that Act explicitly says that the
panels we put together should be balanced, balanced in terms
of range of technically viable ranges of technical opinion on
the issues before us.
What you see before us today is one of 10
committees into which those 80 members are divided. We want
to refer to the Environmental Engineering Committee which is
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meeting today in Research Triangle Park. This is the Indoor
Air Total Human Exposure Committee which is meeting here
today. There are eight other committees which meet on a
periodic basis throughout the year.
Various committees of the Board meet roughly
between 50 and 60 times a year. So, roughly, once a week
someplace there is Science Advisory Board meeting, if not in
your neighborhood, at least somewhere.
During the year; these 50 to 60 meetings result in
somewhere in the order of 30 and 40 reports. All of these
reports are available to the public. I should mention that
all of the meetings are open to the public, as is this one.
This particular Committee, as I've mentioned, is
the Indoor Air Quality and Total Human Exposure Committee.
It has been supplemented, in addition to the members of the
Committee, by people that we have drawn in for this
particular review who have special expertise in this issue
before us; that is, environmental tobacco smoke. These
people are serving as consultants to the Board, so not
everyone is here as a member, but they are all technically
qualified to serve with us on this issue.
In closing, let me just say a word about the
anticipated schedule of.what happens from this point on. For
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the next two days, we will be doing this review, hearing
public comment and the Committee will be undergoing its
deliberations.
As has already been alluded to, the Committee will
then draft a report which will be reviewed by the Committee
in preparation for submission to the Executive Committee at
their October meeting on the 27th and 28th of October, I
believe it is. Yes, the last week in October.
If everything goes well at the Committee level and
the Executive Committee level, we would anticipate forwarding
a report on this issue to the Administrator sometime in the
month of November.
OVERVIEW, INTRODUCTIONS AND DISCLOSURE
MR. FLAAK: I'd like to make a couple of
announcements relative to the conduct of the meeting today,
some from an administrative standpoint and others from a
procedural one.
First of all, this a public meeting of the Board.
We've requested, as is our common policy, the members of the
press who have any requests for any information from us,
please either see myself or Dave Ryan in the back of the room
or one of my assistants who are sitting at the back table,
Carolyn Osborne or Rasheed Tahir sitting at the back table.
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Typically, Science Advisory Board meetings are not
transcribed; however, today it is being transcribed at the
request of an outside individual. This is consistent with
the policy that we set at our last Executive Committee
meeting to allow outside organizations who desire to have a
transcript of the meeting made to conduct the transcript,
with the understanding that it might be made available to
others who so desire it.
At the last page of the agenda for today's meeting
is a statement regarding the transcript and who to contact
regarding availability and the possibility of whatever fee
might be involved. This is not an official Science Advisory
Board transcript, and consequently, we have no control over
the transcript itself. We probably will get a copy for the
public record sometime after the meeting. Typically, these
take a couple of weeks.
I'd like to spend a couple of minutes going over
the agenda to make sure that everyone is clear on what we're
going to be doing. The primary function of this meeting, the
sole function of this meeting, is to review an EPA draft
document entitled "Respiratory Health Effects of Passive
Smoking: Lung Cancer and Other Disorders." This is a second
look at a document this Committee looked at in December of.
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1990, upon which this Committee filed a report with the
Administrator in April of 1991.
This report was made public, I believe, around the
22nd or so of June and made available to the Committee
members at the same time. It has been made available for
public information; however, the Agency has not been taking
specific public comments as they did the last time.
However, under the Federal Advisory Committee Act,
the Science Advisory Board accepts both written and oral
comment on an issue before it. In this particular case, I
suspect we have about six or seven inches worth of comments
that have come in from various interested individuals, some
as late as yesterday, and I anticipate some more coming in
sometime today.
All of these comments have been provided to the
members cf the Committee in advance of the meeting. Copies
of these comments have also been provided to the Agency staff
as well as interested.members of the public who have desired
them.
Anybody who wishes copies of the comments that
we've received, please see one of my assistants at the back
table. They have mailing labels back there. If you put your
name and address on a mailing label, we will be delighted to
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send you a set of that material. However, it will probably
be a week or so after the meeting before you get it. The
stuff was too big for us to cart over here today. If you
need to send a messenger over to our office, please contact
one of us, and we can make arrangements to do that later in
the week.
As far as the agenda is concerned, we are going to
have a brief overview by members of the EPA staff before we
get started on the review and the rest of the meeting is
going to be focused on the Committee's actual review and
discussion of the various parts of the document.
This afternoon we have scheduled a public comment
period which is going to start at 3:00 p.m. I should point
out that originally in the Federal Register notice for this
meeting, the meeting was scheduled to end at 5:00 p.m.
approximately. I suspect it will run later today because of
the number of public commenters that requested time and the
fact that most of them wanted more time that we originally
allocated.
We've made every effort to accommodate them in the
additional time they've requested, and as you can see in
looking at your agenda on page 2, we have some 14 or so
public commenters who will be speaking. I've asked each of
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them to try to limit their comments to about 10 minutes, and
in any case, no more than 15, to allow everybody an
opportunity to speak.
A couple of the speakers have said they would be
here both days, and if necessary, we may ask them, rather
than to push this into the later evening this evening, to
come back in the morning and before we get started, wrap up
the last two or so public comments. We'll see how it goes
this afternoon, and we'll make a decision a little later on.
Bear in mind if we do that tomorrow morning, that
would mean the meeting would start just a little bit earlier
than we had originally announced. Nine o'clock was the
original announced time starting. We might move it up to
8:30 a.m. Again, we'll announce that later on today.
What I'd like to do is turn my attention to the
Committee members for a moment. One of the issues that we
discuss at our meetings, and have done for the last couple of
years, is what we call public disclosure. This is an
opportunity for you to state publicly for the record your
association on various issues that related to the issue at
hand.
This does not mean a disclosure of the confidential
financial statements that are filed by members. However, it
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does give you an opportunity to relate to a couple of issues.
And there is a document which I sent to you prior to the
meeting, of which there's also a copy in your folder, which
you might want to glance at if you haven't thought about it
already. Basically we're asking people to identify whether
they've had research conducted on this particular issue,
previous pronouncements made public on this issue, the
interest of your employer in very specific areas of this
environment tobacco smoke., any financial interest you might
have in this issue and any links, such as research grants,
perhaps from EPA even, related to research on this issue.
Now, we're looking at things that are related to the issue at
hand today, not thingsvare related in a very, very broad way.
I'd like to, at the same time, ask the Committee
members to introduce themselves since we haven't done that
yet, and when they do that, to please identify any issues
they think are relevant for the public record. I'm going to
start -- Geoff, can I.start down at your end, please? Dr.
Kabat?
DR. KABAT: My name is Geoffrey Kabat.
DR. LIPPMANN: That's not a public address
microphone. That's just a microphone for recording. So if
you leave it back there and speak so that they can hear you,
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there will be enough volume in the recorder.
DR. KABAT: My name is Geoffrey Kabat. I'm in the
Division of Epidemiology at the American Health Foundation in
New York. The American Health Foundation is a nonprofit
institute devoted to research in the area of cancer, cause
and prevention.
I should mention that the American Health
Wrnder ,
Foundation and its president, Dr. ind, have played an
important, if not a leading role,
in linking tobacco use to
specific diseases and specific cancers.
My own work has focused on a range of issues,
including tobacco, alcohol, passive smoking, diet, and other
factors in relation to individual cancers. I've gone on
record as criticizing some of the methodological limitations
of the epidemiologic studies of lung cancer and passive
smoking. and this was including our own work on the topic.
This was in the spirit of trying to alert people to pitfalls
of this kind of research and to try to strengthen the design
and the quality of research on this topic.
I have no financial interest in the issue at hand,
environmental tobacco smoke. I should mention that my
funding for my current work comes almost exclusively from the
Government, from the National Cancer Institute, and none of
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it comes from
MR.
DR.
University of
Center. I'm
in the areas
toxicology.
any tobacco company. Thank you.
FLAAK: Dr. Laties.
LATIES: My name is Victor Laties. I'm at the
Rochester's Environmental Health Sciences
an experimental psychologist by training working
of behavior pharmacology and behavioral
I have not worked ever on passive smoking, and
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to the best of my knowledge and belief, I have nothing to
disclose right now about any contact with any aspect of the
problem.
MR. FLAAK: Dr. Daisey.
DR. DAISEY: I'm Joan Daisey. I'm the head of the
Indoor Environment Program at the Lawrence Berkeley
Laboratory. The Indoor Environment Program conducts research
on indoor air quality, ventilation and energy conservation in
buildings. Since Lawrence Berkeley Laboratory is a national
laboratory, much of our work is funded by the Department of
Energy.
At present, I have two research grants and am the
principal investigator on two research grants having to do
with environmental tobacco smoke. One is funded by the
National Heart, Lung and Blood Institute on the physical
chemical properties of environmental tobacco smoke, and thee
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second one is funded by the State of California Tobacco
Related Disease Research Program, and that has to do with the
behavior of particles of ETS in buildings.
I have no research funded by the Environmental
Protection Agency, although there is some in our program, and
I have no research supported by any of the tobacco companies
or tobacco research institutes.
MR. FLAAK: Thank you. Dr. Lioy?
DR. LIOY: I'm Dr. Paul Lioy. I'm Director of the
Human Exposure Division of the Environmental Occupational
Health Sciences Institute of New Jersey. I have no vested
interest in environmental tobacco smoke.
In terms of my research with public pronouncements,
I do conduct research on the human exposure pathways and
human contact to environmentally-derived carcinogens and
irritants and other pollutants, and I also do work on
biological markers of exposure and participate and also
conduct epidemiologic,studies primarily in prospective
studies of human contact with pollution. That's it.
MR. FLAAK: Dr. Eatough?
DR. EATOUGH: Delbert Eatough. I'm Professor of
Chemistry at Brigham Young University. Brigham Young
University is a private university sponsored by the Church of
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Jesus Christ of Latter Day Saints.
My research efforts have been in the area of
chemical characterization of atmospheric pollutants and
what's referred to as source apportionment studies
determining where materials in the environment came from.
The bulk of our work, particularly more recently, has been in
ambient studies related to visibility, and some of that work
is supported by the EPA.
We have had support in the past for the chemical
characterization and apportionment of environmental tobacco
smoke, and that work in the past was funded primarily by the
14s
Center for Indoor Air Research, and prior to CtE'"s formation
we had some support from Reynolds Tobacco in connection with
that work.
MR. FLAAK: Dr. Hammond?
DR. HAMMOND: I'm Kathy Hammond. I'm on the
faculty at the University of Massachusetts Medical Center in
the Division of Environmental Health Sciences. My research
has focused on exposure assessment, in particular related to
epidemiologic studies and most commonly in occupational
exposures.
I've had grants in the past from EPA involving
environmental tobacco smoke, and from the March of Dimes.
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Currently, I have grants from the National Cancer Institute,
it's called Working Well, related to combining both health
protection and health promotion; and the National Institutes
of Health looking at some health effects related to
children's exposure to environmental tobacco smoke. I have
two grant applications currently in to the American Cancer
Society and the National Institutes of Health related to
environmental tobacco smoke.
As far as I know, the only relationship I've had
with the tobacco industries has been when I attended a
conference at the University of Massachusetts, Amherst, on
environmental tobacco smoking. They paid for the rooms and
the meals there.
I've been a consultant to various companies,
individuals, governments and consulting firms about measuring
exposures to environmental tobacco smoke.
MR. FLAAK: Dr. Samet?
DR. SAMET: I'm Jon Samet from the University of
New Mexico. I'm Chief of Pulmonary and Critical Care
Medicine and Epidemiologist at the New Mexico Tumor Registry.
My research is presently funded by a variety of
agencies, including the National Cancer Institute, the Heart,
Lung and Blood Institute, the Department of Energy, and the Ln
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Health Effects Institute which receives a portion of its
funding from the Environmental Protection Agency. I've had
funding directly from the EPA in the past.
My research has addressed a variety of
environmental pollutants and their effects on the lungs,
including environmental tobacco smoke. With regard to past
positions on the issue, I served as consulting Scientific
Editor for the 1986 Surgeon General's Report on involuntary
smoking and served as Senior Scientific Editor for the 1990
report on smoking cessation and also as Consulting Editor for
the '85 report on occupational issues.
I presently serve on the National Air Conservation
Commission of the American Lung Association and on their
Indoor Air Quality Advisory Group. I'm also on the Editorial
Board for Tobacco Control and publication of the British
Medical Journal. I also serve in an advisory role to the
Health Effects Institute Asbestos Research which also
receives funding from.the Environmental Protection Agency.
I had participated in a planning workshop when the
'iS
Center For Indoor Air Research developed q~~lagenda several
years ago and provided my views on research'Cneeds in the area
of indoor air pollution. My past work and various literature
reviews on the subject of environmental tobacco smoke are
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well documented in the peer review literature.
MR. FLAAK: Dr. Stolwijk.
DR. STOLWIJK: I'm Jan Stolwijk. I'm in the
Department of Epidemiology and Public Health at the Yale
University School of Medicine. I have been working in the
area of environmental health sciences in a broader sense.
Current support is from the National Institutes of
Health. Support in the past has been enjoyed from the
Department of Energy and from the Environmental Protection
Agency.
I have, other than the prior review that we did
here for this particular document, no statements or positions
that affect environmental tobacco smoke. In the course of
research, measurements and assessments of environmental
tobacco smoke as a contributor to various diseases, is always
a factor, but I have not conducted studies that made the
environmental tobacco smoke the primary issue.
MR. FLAAK: Dr. Lippmann.
DR. LIPPMANN: I'm a Professor in the Nelson
Institute of Environmental Medicine at New York University
Medical Center. I have not engaged in any research directly
focused on environmental tobacco smoke. The only interest I
have is as a confounder in our studies of the effects of
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occupational and community air pollution exposures on
respiratory health endpoints.
I am a member of the Scientific Review Panel for
the Center for Indoor Air Research which acts as a secondary
scientific peer review for investigator-initiated grant
applications in the general area of indoor pollution,
including, of course, environmental tobacco smoke.
My research support currently is from the
Environmental Protection Agency for research in community air
health effects, and from the National Institute of
Environmental Health Sciences for research on particle
behavior in the respiratory system and the use of aerosols as
probes of the lung.
I serve on an advisory panel for the Health Effects
Institute Asbestos Research with Jon Samet in which we are
helping spend some of EPA's money indirectly. I have no
other ties to this issue that I can identify.
MR. FLAAK: I'm Robert Flaak. I'm the Designated
Federal Official for this Committee. I'm also the Assistant
Staff Director of the Science Advisory Board. I'm an EPA
employee and I have no interest in this matter whatsoever
from either side of the issue.
DR. BARNES: Donald Barnes, Staff Director of the.
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Science Advisory Board. Also, I have no interest in this
issue either.
DR. LEBOWITZ: I'm Mike Lebowitz. I'm a Professor
of Medicine and Associate Director of the Respiratory
Sciences Center at the University of Arizona. I have had
research funds from NIH, EPA in the past, and currently, to
study acute and chronic respiratory diseases and the factors
that affect it, including active and passive smoking and
other environmental pollutants, occupational exposures, et
cetera.
I've been a consultant and committee member on
indoor and ambient pollutant effects for the World Health
wNOKV
Organization, the Regional Office of WHL, the PanAmerican
Health Organization, EPA, CDC, FDA, NIH, et cetera, and CIAR.
I do review grants for these various agencies and institutes
and review documents for them.
I have spoken on the issue of active and passive
smoking to various groups and I've published widely on the
subject, which is a matter of public record, and I have no
vested economic interest vis-a-vis active and passive smoking
at any time.
DR. WEISS: My name is Scott Weiss. I'm Associate
Professor of Medicine at Harvard Medical School and an
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Associate Physician at the Channing Laboratory. I'm a
respiratory epidemiologist. My primary research interest has
been risk factors in the development of asthma and chronic
obstructive lung disease and ETS asthma history.
I have conducted research on more risk factors
related to those respiratory outcomes and specifically into
the effect of ETS in utero exposure to cigarette smoke and
their possible influences on lung function, growth and
development of children and its influence in pulmonary
function in adolescence.
I was a co-author of the 1984 Surgeon General's
Report, specifically the chapter relating to passive
cigarette smoke exposure and respiratory disorders in
children and adults. Also in 1986, the Surgeon General's
Report, I'm one of the co-authors for that chapter as well.
I was also involved in the chapter of the 1990 Surgeon
General's Report that Dr. Samet was the editor for.
My salary is derived 100 percent from research
funds, 90 percent from grants from the National Heart, Lung
and Blood Institute. One of those grants is specifically
looking at, for which I'm not the principal investigator, but
one of the grants that does support my research is
investigating the effect in utero and postnatal cigarette
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smoke exposure on pulmonary function and respiratory illness
in children.
I also have a small amount of salary support from
an EPA grant that supports collaborative use in the
Netherlands which is related to outdoor air pollution. It
doesn't have anything to do with indoor air pollution or
passive smoking.
I have written review articles related to the
respiratory and health effects of passive smoking or ETS in
children. I've also written editorials about ETS and its
relationship or possible relationship to the occurrence of
lung cancer. I have no other financial or proprietary
interest in this matter.
MR. FLAAK: Dr. Wesolowski.
DR. WESOLOWSKI: I'm Jerry Wesolowski. I'm
Director of the Air and Industrial Hygiene Laboratory,
California Department of Health. I'm an Adjunct Professor at
the University of California and I'm also Director and
Treasurer of the United States Committee on Poland's
Environment, a nonprofit organization that assists Poland in
helping cleaning up its environment.
I believe I have no conflict of interest, either
actual or perceived, or governing issue. I have no direct
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nor indirect relation with any tobacco company or interest.
I have never met or corresponded with Margaret Thatcher.
(Laughter.)
DR. WESOLOWSKI: My laboratory has not received, is
not receiving, money for research, either directly or
indirectly from the tobacco companies.
The California Indoor Air Quality Program is
carrying out research to study the effectiveness of various
controlled strategies in office buildings on protecting
nonsmokers from environmental tobacco smoke. That research
is funded by the University of California which gets the
money from taxes which are placed on the sale of cigarettes
in the state. I don't believe I have any conflict of
interest in this matter.
MR. FLAAK: Dr. Rockette.
DR. ROCKETTE: Howard Rockette. I'm with the
Department of Biostatistics at the University of Pittsburgh.
My research has been }n the cancer area and occupational
epidemiology doing cancer research. I'm the statistician on
several projects that are funded by NIH. On the occupational
epidemiology area, many of those studies are funded by
industry.
None of them are related to the issue here,
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environmental tobacco smoke or the effects of smoking. I
have no funding that's at all related to the tobacco
institute and no funding that's at all related to EPA.
DR. LIPPMANN: Thank you. It's a shame to take so
much time to do this, but in the climate in which this issue
was being reviewed, it becomes a necessity.
You may have noticed that there are representatives
of the press attending, including people with TV cameras in
the hall. I have been asked if I would discuss the hearing
with members of the press at break today and I declined.
They asked if other members of the panel were willing to talk
to the press, and that's up to each individual member to make
their own decision.
At the time of the last meeting, we stuck to the
position that the time to talk to the press was after we had
concluded our reviews, but that was not binding on any member
of the panel. So if you should choose to discuss the
procedures and whatevqr else you want to with members of the
press, that's entirely up to the individuals.
This is clearly a topic of interest to the general
public and therefore to the press. On the other hand, it is
awkward to state positions before we've heard each other's
views on the quality of the science which helps make up
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1-30
consensus judgment on the adequacy of this report.
I won't take any further time from the proceedings.
The program calls for introductory remarks from Drs. Bayard
and Farland of the Office of Health and Environmental
Assessment who are responsible for the preparation of this
document, Dr. Bayard, directly, and Dr. Farland, a little bit
more indirectly.
Dr. Bayard will tell us in relatively few words
about what has been done in regard to modifying the document,
to address the concerns we expressed at the last review, and
Dr. Farland will address, at least in part, one of the issues
as how the experience of doing this particular review has
given the Agency experience and outlooks about the use of
quantitative risk assessment techniques for non-cancer
issues.
Dr. Bayard. Or, Dr. Farland, do you want to go
f irst?
OVER,VIEW OF DRAFT DOCUMENT
PRESENTATION BY DR. FARLAND
DR. FARLAND: I have just a few overheads. I've
not made copies, but I believe the Committee will be able to
follow along without them. These are really primarily for
the people out in the audience and not really as a backdrop .
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to my discussion.
It's probably important for me to say that I'm a
biochemist and a scientist rather than an engineer at this
point. It's always a pleasure to be here to discuss these
issues with the Science Advisory Board Committees. As you
all know, we value your input on this issue, as well as on
all the issues that we come to speak with you about, and we
look forward to your comments over the next two days.
I think you can see from the document that you have
in front of you that this represents significant work and
that our organization has been committed to this particular
project on respiratory health effects of passive smoking,
lung cancer and other disorders for the past several years.
We have been responsive to comments that we have
received and feel that this Committee has provided a lot of
direction and suggestions for improvements to the document
which we hope that at the end of the discussion here you'll
agree that we've done.quite well.
This is a high visibility assessment, and I don't
think anyone would argue with that statement. It's high
visibility because of its implications for the future of the
way that we do business.
In terms of our risk assessments, the evolution of
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1-32
the approaches to risk assessment can be characterized
through a look at a number of documents that EPA has worked
on, but this particular one gives us an opportunity to
illustrate a few features, and I'd like to talk just very
briefly about that as an introduction to this topic.
The focus here really is on this concept of risk
characterization. I'm trying to understand the issues
associated with potential toxicity of this environmental
pollutant and get an understanding of exactly what the
implications will be for human health effects.
Now, in terms of the features that we might just
very briefly focus on, we've had an opportunity to
characterize the hazard through a weight of evidence approach
for cancer and non-cancer effects, specifically, for lung
cancer and selected non-cancer effects. This weight of
evidence approach has allowed to take great care in assessing
studies directly related to ETS. But at the same time, it
considers all of the information, information from other
epidemiology data, from laboratory studies, from chemistry
and exposure studies that help us to put in perspective the
potential for hazard.
We attempt to lay out the broad base for our
findings which lead to the conclusions that you find in the
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document. It is important to understand that we've not dealt
with other cancers other than lung cancer. The information
is very sparse on those particular cancers, but that might at
some point be an issue. And we have not dealt with
cardiovascular effects in terms of another non-cancer
endpoint that might be looked at.
We have received comments to the effect that
perhaps the Agency should consider that at some point in
time, but there was a decision within our office not to
address that particular issue at this time.
In terms of dose response assessment that we are
dealing with, I think we have a fairly unique set of
information in this particular finding set of data for
environmental tobacco smoke.
First of all, we have a focus on human data which
is fairly unique in terms of dealing with environmental
pollutants. This is something that obviously is our best
source of information. We need to make the most of it.
Despite the problems associated with evaluating human data,
it clearly is the important focus of this effort. It does,
however, allow us to limit our extrapolation in terms of
animal to human types of responses, although we use that as a
supporting factor within this assessment.
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1-34
We have the opportunity of dealing with issues at
environmental levels. We're not talking about trying to take
high dose occupational studies or high dose animal studies
and bring them down to lower levels of risk that might be
experienced by the rest of the population. So this is a,
situation where our assessment is at environmental levels.
Another fairly unique situation with regard to
environmental risk assessments is we've taken the opportunity
to use some new techniques, meta-analysis for lung cancer
that we think will be important to us in terms of combining
information from various studies as we do risk assessments in
the future.
In this case, we're able to use a specific endpoint
and look specifically at lung cancer incidents as a subject
of this meta-analysis. But in fact, we are particularly
interested in trying to extend meta-analysis into a
discussion of a number of different approaches. And we hope
that you'll find that.this has been an innovative approach
and that it bears some merit in terms of future approaches
for risk assessment.
Finally, we think that a number of the issues
related to non-cancer endpoints afford us an opportunity to
look at quantitative estimates of impact for non-cancer
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endpoints that go way beyond our normal approach of being
able to use only a reference dose or a discussion of the dose
below which one would not expect to see an effect occur based
on use of no effect levels or various other indicators of
response from animal studies to human,populations.
So, we think that there are some interesting and
important features and an opportunity to do some innovative
risk assessment work in this particular assessment.
In terms of exposure assessment, we are
particularly fortunate in this case to be able to use the
human data that is available to us. Basically, human
activity patterns, the type of information that one needs to
bring into the assessment of the impact of environment
pollutants on humans to focus on the idea of biomarkers of
exposure to be'able to support discussions of potential
exposure based on activities or job classifications or other
types of things that others might be involved in, and to
characterize this not,as a bounding estimate of potential
maximum exposures, but really to view this as an opportunity
to look at a group of individuals with what might be called a
high end of exposure for the general population, certainly
not out on the very tail of the distribution, but at the high
end of exposure.
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All three of these features are particular issues
that we have dealt with in terms of our new exposure
assessment guidelines that we see here as an opportunity to
really apply to the issue of environmental tobacco smoke.
I mentioned earlier our interest in getting into
risk characterization and to really focus on that issue. The
Academy, when it gave us a framework to do risk assessment in
the early 1980s, did not spend a lot of time on risk
characterization. We need to look at this as an opportunity
for us to discuss both qualitatively and quantitatively the
issues surrounding potential risks of environmental tobacco
smoke, to provide a range of estimates for exposure and
effects that we think will give those interested individuals
a full sense of the information that's available and
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potential for aee-ts, and to fully discuss assumptions and
uncertainties in this document. We feel that we've made good
progress in this regard, and hope to hear your comments
related to that and express some confidence in terms of our
perspective on the database that we have available to us.
So these are all features of this particular
assessment that we think are going to have a great impact on
the way that we do future assessments in the Agency,
certainly within my office, and our attempt here is to use .
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some of these approaches to move the state of the science and
move the state of the art of risk assessment in a positive
direction.
I might make just one comment in clarification, and
that is that the Agency will take all of the comments that
have come into the Science Advisory Board for this particular
session, and will address them, along with other comments
that have come to us, as we put the final document together.
There will be a copy of those comments in the Agency's Docket
and there will be a disposition of each of the comments
associated with that Docket as well.
Thank you.
DR. LIPPMANN: Thank you, Bill. We appreciate all
of the voluminous written comments coming from the public and
which have been distributed to the entire Committee. These,
as Dr. Farland said, will be considered by the Agency and by
us as we prepare our report of our review of this document.
Clearly, we.don't have the time, as Mr. Flaak said,
to have more than a brief discussion from those members of
the public who asked for time on the public comment period,
and it's impossible for any of us to review the EPA document
and all of those public comments in great detail in advance,
although, we've all done the best that we can and have made a
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conscientious effort. We will be looking at both the
document, each other's comments and those public comments as
we prepare our report on the adequacy of this document.
Steve?
PRESENTATION BY DR. BAYARD
DR. BAYARD: Chairman Lippmann, Vice Chairman
°vf y4t
Stolwijk, members of the Committee, and members SAB staff, on
behalf of the Office of Research and Development and Office
of Air and Radiation I sincerely want to thank you for taking
the time and the effort to review this.
PARTICIPANT: Steve, we can hardly hear you back
here.
DR. BAYARD: I just want to thank you very much.
We have already submitted our reports to the SAB on how we
have revised the previous draft to make this revised draft.
What I want to do just now is summarize that and discuss the
scope of the revisions, how we have revised it.
This document is put out by the Office of Research
and Development and the Office of Air and Radiation. The
technical staff is Steven Bayard, Jennifer Jinot and Aparna
Koppikar. The funding and scope was provided by the Indoor
Air Division of the Office of Air and Radiation, with Robert
Axelrod, Division Director.
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The officers of the chapters are Steven Bayard;
Kenneth Brown; Jennifer Jinot; Brian Leaderer, from Yale did
the exposure chapter; Fernando Martinez, Associate Professor
of Pediatrics at the University of Arizona in Tucson, wrote
these chapters a°n respiratory disorders; Neil Simonsen, who
is finishing up his Ph.D. at the University of North
Carolina, helped the (inaudible); and Judson Wells, who is
responsible for the (inaudible) on misclassification
correction. Kenneth Brown is from North Carolina. Jennifer
Jinot works at the EPA Office of Research and Development.
The history of this, we began work on it in late
1988. Our first draft was released in June of 1990, with a
public review period. Our conclusion was that by the weight
of the evidence, we believed that ETS was a Group A
carcinogen, and we felt that there was some association with
respiratory disorders in children.
In October 1990, the public comment period ended
and this was reviewed.by your Committee in December 1990. We
presented a report to the Administrator Riley in April of
1991 which concurred with Group A carcinogen classification,
but felt that our conclusions with respect to respiratory
disorders ought to be made stronger. We made many
suggestions for revision of the document and many suggestions
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which we felt were very appropriate, and what you see here is
the product of those suggestions and the public comments.
The scope of the revisions. I'm just going to run
through the chapters to give you an idea of the outline.
y4s,2~
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We'll go over the chapters and I'll do -r~r-ch quickly.
Chapter 3 is on exposure. Our old document had no
chapter on exposure, but we had some material in various
sections. We pulled that all together in a chapter and
expanded it to discuss the physical chemical characteristics
and the similarities and differences with mainstream smoke
and sections on how to measure and assess ETS exposure by
monitoring biomarkers and questionnaires, correlating between
questionnaires, monitoring and biomarkers in the models.
From Chapter 3, we move on to the lung cancer
hazards identification. As suggested by the SAB, we made a
totally new chapter on lung cancer and active smoke and
included the evidence of long-term animal bioassays and
genotoxicity. .
In our chapter we emphasized dose-response. We
felt that if active smoking caused lung cancer, then we
should expect some dose-response to low exposure. We felt
that it would be similar to the relationship of passive
smoking.
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We emphasized dose-response by analyses based on
the number of cigarettes, the duration, the age of start,
time since cessation and gradient was all for lung cell
types.
Our conclusion was based on this evidence alone
from Chapter 4, we could conclude that environmental tobacco
smoke was Group A carcinogen if these were the only data.
However, there's a very large dataset on the epidemiology of
passive smoking. In fact, for female never-smokers only, the
very largest database -- the other databases were far smaller
and less inclusive -- we analyzed 31 studies in this report
versus 24 in the earlier draft. Nine of the nine were new
studies, including two updates. So there were actually nine
new studies, but two of them were updates from previous
studies. And we provided critical review to all these
studies in Appendix A, as suggested by the SAB.
In order to include both the positive and negative
response studies, we do a meta-analysis, we do extensive
trend analyses in all 16 studies which had data by various
exposure levels.
We pooled data by country or continent into six
groupings, and this is different from the previous report
which just combined all studies from all countries. We feel
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1-42
we have a better description of power, so that we make it
very clear that only 8 of the 30 studies which had suitable
data, approximately 31, have the power of at least 50 percent
to detect a (inaudible) as low as 1.5.
We maintained our one-sided test, as in the
previous draft. I put this up for clarification because some
of the public comment suggested that we use 90 percent
confidence intervals to make the test more significant. In
fact, we used 90 percent confidence limits only to correspond
to the one-sided tests which we had in the last draft, so
that the two would correspond.
We adjusted for the smoker classification bias on
an individual study basis and we corrected before we did the
significance testing for each study. We also provided
separate analyses for each study that looked at separate
potential confounders, history of lung diseases, family
history of lung diseases, heat sources for heating, cooking
and occupations and dietary factors.
After we did that, we still felt that there was
some way that we might not have ranked the studies critically
satisfactorily. The SAB the last time suggested that we try
and critically rank the studies, and that we did. The idea
Co}~^ec7C
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1-43
and not for others, some for some biases and some not to
others.
We tried to judge which studies were a better
utility for determining whether or not there was an ETS
effect, and we ranked the studies into four tiers. Then we
did the analysis by tiers to see whether the higher-range
studies provided the better information than the lower end
studies.
11~rx
Our conclusion after all of this was that-£TA is a
Group A carcinogen based on all the weight of the evidence
and all our ways of looking at the data, and that includes
both the active and the passive smoking studies.
On the quantitation from lung cancer
identification, we moved to Chapter 6. On Chapter 6, unlike
the last timewhen we presented evidence, where we presented
sections in both epidemiology and cigarette equivalents, as
the SAB suggested, we used only the epidemiology data this
time.
Furthermore, as the public comment suggested, we
used only the 11 U.S. studies to measure U.S. risks as one
method of doing it, and as another method, we used only the
largest U.S. study which was the Fontham Study in 1991 which
included five U.S. centers, with consistent results. The
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1-44
study was designed with, in fact, little, if any, smoking irS
r,~ S be.,.9 7~'t
t~~s classification, biasing only source that we could
identify. The Fontham Study was also the only cancer study
with actual cotinine data from their study participants.
We also used never-smoking females exposed to
spousal smoke. Then we separated nonspousal which we
declared as spousal risks. We separated males and former
smokers of both sexes and we provided sensitivity analyses
for the model.
These are basic differences from the last draft,
and our conclusion, however, was that there's still
approximately 3,000 lung cancer deaths among nonsmokers of
both sexes per year of children with ETS in the U.S.
From Chapter 6 we move on to Chapter 7, and
Chapters 7 and 8 represent the ce identification and
quantification of non-cancer respiratory disorders. This was
completely rewritten following the SAB comments and following
the very detailed outline the SAB gave us. The outline is
followed almost exactly. We found that we had over 30
additional studies in the earlier draft.
We stressed the biological mechanisms and
plausibility arguments, including the effects of both
prenatal and postnatal exposures. We have a new section on
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Sudden Infant Death Syndrome. We have a new section on
respiratory effects in adults.
The conclusions are much stronger, and we feel that
there is enough evidence to say that ETS is causally
associated with lower respiratory tract infections in infants
and young children up to age 3, symptoms of respiratory tract
irritation, middle ear effusion in children, small reduction
in lung function and aggravation of asthma.
Finally, we attempted a quantification of certain
non-cancer respiratory disorders. This is also a completely
new chapter, as suggested by the SAB at the last meeting. We
present estimates for lower respiratory tract infections and
asthma in a model which is similar to that in the lung cancer
quantitation, one of the models. We present the sensitivity
analysis. We present our estimates in terms of ranges and
try to discuss the confidence and ambient certainty, as we
did in the lung cancer quantitative objective.
Our conclusions are that lower respiratory tract
infections in children up to three years, which range from
150,000 and 300,000 a year, result in between 7,500 to 15,000
hospitalizations. That it may cause 8,000 to 26,000 cases of
new asthma. We don't feel that there's conclusive evidence
that it causes new cases of asthma at this time, but we do
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1-46
feel that there is evidence. We feel there is conclusive
evidence that it aggravates symptoms in 200,000 to a million
asthmatics per year.
Thank you. That's the scope of our revisions. We
appreciate your deliberations.
DR. LIPPMANN: Thank you. I appreciate your laying
out the basic issues confronting us in a short presentation.
In reviewing the document, we've concluded that it would be
best to quickly go through the appendices. The fact that the
Agency felt that the appendices were needed to understand the
basic chapters to provide us technical support, I think makes
sense for us to look at them first to see if we agree that
they provide the technical support for the statements in the
chapters.
So, let's start with, as on the program, with the
review of Appendix A, "Reviews of the Epidemiological Studies
on ETS and Lung Cancer," and I'll call first on Dr. Samet.
COMMITTEB REVIEW OF APPENDICES A-E
APPENDIX A - REVIEW OF EPIDEMIOLOGICAL STUDIES
ON ETS AND LUNG CANCER
DR. SAMET: This set of Appendices, a set of
reviews of the studies characterizes them describing their
design components, provides reviews of the individual
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studies, and for the most part, in concluding paragraphs,
offer some qualitative comments concerning the contribution
of the individual studies to the literature on environmental
tobacco smoke and lung cancer.
I found that the descriptions of the studies were
useful and the studies had in fact been reviewed according to
a standardized format, and the form for that review was
provided.
On the other hand, I found that the reviews of the
individual studies lacked a systematic methodologic framework
against which potential limitations were addressed. For the
most part, these are case-controlled investigations with, in
a general sense, well-known sources of bias related to
selection, confounding information, and the possibility of
selection of an inappropriate comparison group.
From my own reading, I would have found the review
of these studies to have been more useful if each in fact had
been reviewed against,the potential limitations that should
be considered in interpreting the results. I think that in
fact most of the proper material is contained within the
critiques of the individual studies, but it's a matter of
systematically reorganizing the reviews of the individual
studies so that this Appendix becomes more useful to the
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reader.
I think this type of systematic review would be
important to buttress the assignment of these studies to two
tiers because I think we'll come back to this when we
discussed chapter 5. I had some difficulty in being certain,
in fact, as to how the studies were assigned to the tiers of
finding only a footnote to a table that mentioned criteria,
and I would prefer to see more systematic review of the
individual investigations and assignment of the studies to
tiers.
I also found some of the language to be off the
mark and distracting. I think for the utilization of this
information, the conclusions of the reviewers and, in fact,
of the authors, concerning the contributions of these
individual studies to the body of evidence are relatively
unimportant. These studies emerged over approximately a 10-
year period during which there was a shifting summary
estimate -- in fact, initially very little precision -- in
understanding the risks. So that I think that the historical
perspective, as the authors express their opinion and
subsequent reviewers disagree with them, is probably
unnecessary.
I think what is important for this document is a
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systematic review of the evidence against biases which may
affect, for the most part, case-control, but also cohort
data.
I think my other comments concerning structured
review of these studies and their potential limitations,
we'll come back to when we talk about the studies further in
Chapter 5. So in terms of this Appendix alone, my summary
feeling is that the studies are well described, and that much
of the information concerning the limitations of the
individual investigations is included in the reviewer's
comments, but could benefit from a more systematic overview.
And I think some gratuitous conclusions are provided, both by
the reviewers and the original authors, that would best be
removed, they're distracting.
DR. LIPPMANN: Thank you. Dr. Kabat.
DR. KABAT: Somewhat along the lines of what Dr.
Samet has said. I had trouble with the classification by
tier, and I felt that.one could have set up an objective set
of criteria, as has been done in certain meta-analyses, which
would include points like did they match on never-smoking
status; was there the percentage of histological confirmation
of the cases; the level of detail of the ETS questions, and
so on -- control of confounding. And one could have assigned
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points for each of those criteria and come up with some
rating for each of the studies.
As it is, the assignment to tier appears somewhat
subjective. For example, one might have been surprised that
after all the flaws that are pointed out in the Trichopoulos
paper, that it was assigned to tier two. But at any rate,
the authors acknowledge that their assignment to tier is
subjective, and I think it could be improved on.
I also found it a bit confusing that their
summaries of some of the studies, the ones with higher power
in Chapter 5, and assignment to tier is justified there, and
you have a complete synopsis of each study and description of
each study in Appendix A.
What should be the punch line, I think, at the end
of the description of each study would be, "you want to know
the tier number," and I had to keep flipping back. And it's
additionally confusing because in Table 5.1, I think, where
the superscript gives.the tier number, some of them are
mistaken. So you're wondering whether they changed their
appraisal of some of the studies or whether it was just typos
from Table 5.1.
Then, I've written some comments on specific points
that come up in the descriptions of studies but I'll leave
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1-51
that for later.
DR. LIPPMANN: Okay. Are there any other members
of the panel who elected to prepare comments on Appendix A?
Yes, Paul?
DR. LIOY: I made notations and I concur about the
fact that I got a little bit let down not knowing what the
tiers were in these individual studies, and I think Jon's
point about logical progression is well-taken. I had a
difficult time going back and forth between studies at times.
I think in some places it's clerical, and I think it can be
easily handled, but I think for consistency and ease of
reading and use with Chapter 5, I think that it's very
critical that it's put into a consistent basis.
DR. LIPPMANN: Yes?
DR. STOLWIJK: I was also bothered by the
transition from the material in Appendix A and the tier
assignment. It almost acts a little bit as if the tier
assignments were made.after Appendix A was already completed,
and as a result, it didn't reflect the rationale that later
on was needed for the tier assignment.
The other problem that I think Dr. Kabat mentioned,
is that if you start classifying tiers on the basis of
strengths or weaknesses in, let's say, bias that might have
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crept in, then in cases where people have attempted meta-
analyses, they find that each of the tiers -- you get a very
large number of tiers and very few members in each tier, and
you don't get very far that way.
So you have to collapse the tiers -- and so to get
more member studies in the tiers -- and it seems that there
was not a discussion of what might have gone on in the design
of the report as to how many tiers to have and what to base
it on. And there were, for the large number of studies, a
relatively small number of tiers here. And most experience
in meta-analysis attempts I think indicates that you get many
tiers because you can't -- it is more and more difficult the
more seriously you try to classify for strengths and
weaknesses, you get fewer and fewer in a member group. There
was no expression of that process having gone on.
DR. LIPPMANN: I think that's the commentary the
Committee is offering on Appendix A. Do you want to say
anything in response?.
DR. BAYARD: No, I guess not.
DR. LIPPMANN: Okay. I think we will at this point
take a 10 to 15 minute maximum break and then continue with
the discussion of the other Appendices. There will be an
installation of a loud speaker system for the hall during the
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r
1-53
break which will facilitate our further discussion.
(Recess.)
DR. LIPPMANN: We'll continue with our review of
the Appendices. We are scheduled next for Appendix B. Dr.
Stolwijk, I'll call on you first.
APPENDIX B - METHOD FOR CORRECTING RELATIVE
RISK FOR SMOKER MISCLASSIFICATION
DR. STOLWIJK: The description of the method for
correcting relative risk for smoker misclassification
addresses a very difficult issue that has to do with
misreporting of the smoking status of cases and controls, and
goes into considerable detail with respect to the various
methods that can be applied, and the baseline data -- the
baseline parameters that are to be used in order to make
estimates of the over-reporting or under-reporting of smoking
in cases.
PARTICIPANT: Which is?
DR. STOLWIJK: There is some controversy in the
area that is largely related to what are the background data
that are to be used for the estimation of misclassification,
of self-reported misclassification.
I think that the method that was used here which
attempts to use data from the studies themselves in order to
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make this correction is an appropriate one because there is a
study-specific characteristic of this kind of
misclassification.
It depends to a considerable extent on the type of
questions that they're asked, the setting in which the
questions were asked and the effectiveness of an interviewer
in such a situation. These tend to be highly study-specific
so that using correction factors from the study itself, is
clearly a very important element. And I think that was
advocated and carried out in this case so that there is a
complete documentation of the methodology that was used.
There is some controversy, as is clear from the
submissions by the public and by other organizations, all of
which appear to depend to a considerable extent on what the
data are upon which the misclassification is estimated.
I think that the method that is outlined in
Appendix B is one that I found is supportable. The
assumptions are clearly stated, and I think it represents a
way of dealing with an important but very difficult issue
that is defensible.
DR. LIPPMANN: We have written comments from two
other members. Dr. Benowitz was also assigned to review this
Appendix. He indicates that it's somewhat difficult to read.
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It took several attempts before I was able to understand it.
In part this is because the material is highly technical and
necessarily abstract, but also some of the terms and
mathematical operations are not clearly explained.
Overall, the principles of the Wells-Stewart method
appear to be reasonable; however, I have some concerns about
specific points. I won't take the time to go into some of
the various specific technical points that he has that you
can consider.
I'll just extract a few. On page B.2, the top
paragraph: Classifying current smokers according to their
levels of cigarette consumption is a good idea for risk
assessment; however, the specific classification scheme
proposed in this approach needs a better rationale. Why is
30 percent of the average cotinine level in smokers
considered to be a definition of occasional smoking? Et
cetera, et cetera. He goes into some of the other points
that you might consider in looking at that once again. These
are all highly specific and technical comments.
Overall, I think the Wells-Stewart approach is
correct. The misclassification is sensible. The
mathematical operations seem reasonable. The basis for
selecting particular dosimetrics cutoffs for classifying
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different levels of cigarette smoking need to be more
carefully explained. If possible, this Appendix might be
rewritten in terms that are easier to understand by someone
who is not immersed in this type of analysis or problem.
Dr. Woods includes also comments in his written
material. This Appendix provides formulas for two types of
calculations. One, adjusting observed relative risks for
smoker misclassification and background ETS exposure, and
two, estimating the population at risk, which is defined as
the ratio of the excess risk due to ETS exposure to the total
risk from all sources. It also contains a third part which
estimates the number of lung cancer deaths in former smokers.
The concepts for these equations are valid
extensions of those presented in the NRC report, but the
presentation in this Appendix is difficult to follow.
Moreover, errors in some of the definitions of terms caused
difficulty in verifying equation B.1. And then he goes into
considerable detail about how he either thinks there were
errors or at least it wasn't stated in a way that clarified
how it was done to his satisfaction.
Then he goes on to say, "Once these errors were
corrected, I was able to verify the parameter sensitivity in
Section 4.4.3, as equation B.1 predicted, the correct RRO of
UT
to
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1-57
1.14 when a true relative risk of RRM=1 was issued. He was
also able to verify that equation B.1 correctly predicted an
RRO=1.41 for an RRN of 1.28, as indicated in the paragraph.
So I think in general, he found this useful, but he
had some concern about the,accuracy of some of the equations
as they might be used to extrapolate to other conditions.
And you have a copy of his comments. I think Bob just gave
it to you, Dr. Woods' overall statement.
Does anybody else on the panel have any comments on
Appendix B? Mike?
DR. LEBOWITZ: Yes. Thanks. I thought the job
that was done was clearly quite impressive, some good
positive contributions, especially in terms of the different
parameters and aspects of misclassification that had to be
evaluated, and I liked the approach.
I think also that the evidence was presented very
well, indicating the true downward correction for smoker
misclassification bias which exists in all of these studies
of ETS does exist, but may be smaller than previously used or
used in another section of the report.
There were a couple of places where I wasn't sure
that specific issues had been handled or handled properly. I
didn't really see the way, though I think it could be
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understood mathematically. I didn't see the way that the
correction would be ma ~fpr exposure response or dose-
A
response and in either tec231years or number of cigarettes per
day in the supposed nonsmoker once they were found out to be
smokers.
And that leads back to Neal Benowitz's comment on
the 30 percent cutoff or reference value in cotinine to
reclassify someone. I couldn't follow that. I think if it
were done by cigarettes per day then, in fact, you would have
a set of reference values for cotinine that would be
applicable for the reclassification and corrections.
I didn't see -- possibly I just missed it -- the
correction for past exposure and that might have been due to
ex-smokers and the higher risk for ex-smokers both, and how
that was really handled. Although there was discussion of a
larger likely false/negative reporting with surrogate
reporting for medical records, I didn't see how that was
handled more different than the population base data, and I
think it needs to be. It's a further breakdown of the type
of study and the location and time of the study and so forth
and the community and culture in which it occurs.
In terms of the modeling, I think that use of
different models might get slightly different mathematical
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1-59
expressions, might lead to slightly different adjustments,
downward adjustments. I think that especially if models
included covariants and confounders which are correlated with
the bias and correlated with smoking status per se where
smokers and ex-smokers are both likely to also have
characteristics that would increase the risk as well, I don't
think they were necessarily here. And I'm not sure that
within the scope of these kinds of analyses you can do that
properly. I'm not sure that any of the studies themselves
treated that adequately, so you don't have the data, I don't
think, to do that.
DR. WELLS: It gets more complicated.
DR. LEBOWITZ: Yes. It does, but knowing how well
you like to play with these formulas, I would think that that
would be the next extension of the issue.
Most of my other comments are within the scope of
that. There were some issues I had with assumptions when
data are available to,know from a variety of settings how
long ex-smokers have been ex-smokers, what their smoking
habits were, whether they were just occasional or light
smokers compared to heavy smokers. I think that's time- and
place-dependent also.
I'm having some data sent from my study. I hope it
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gets faxed here during the meeting to show you. But I
remember that there are a fair number of -- in our 20-year
study -- there are a fair number of ex-smokers and former
2 vP
smokers who later denied v r having smoked. The
distribution is weighted toward the low end of smoking habits
and the longer they were off cigarettes, the more likely they
were to decide 20 years later that they never had smoked and
so forth. But in fact, there were fair number who had smoked
heavily. And two-thirds of our ex-smokers, at least males,
had quit because of health reasons. So that's a real
differential effect in terms of the kind of bias.
But there were a number of places, in other words,
where assumptions were made based on limited data where in
fact data are available to correct those or to account for
likely distributions of bias that might be due to actual
previous smoking.
In any case, I wrote all over Appendix B and will
give my version to you to play with later on. But mostly I
do want to compliment you on the effort you've made in the
time you've had. I think your conclusions are really quite
important to the overall perception of what effects ETS
passive smoking may have.
DR. LIPPMANN: Thanks. Jon?
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DR. SAMET: I think I'm aware of three major
efforts having to do with this issue: the work of Judd Wells
in earlier versions and the present one; Peter Lee and Nick
Wald. And to my recollection -- and I'd be willing to stand
corrected -- Nick Wald's work has been published in the
British Medical Journal and also was a portion of the NRC '86
report which was peer reviewed. An earlier version of your
approach I think was published in Environment International,
and Peter Lee's work has been documented in his books.
I think that it's important to point this out
because I think that the choice of a new method that has not
yet gone through the usual peer review mechanism just needs
to be made clearer, and I think the links between the portion
of Chapter 5 where the choice of misclassification adjustment
is described, needs to be strengthened and perhaps the
introduction, in fact, to this Appendix should be
strengthened on the basis for selection.
I read it aAd I would side with reviewers who found
that everything was there but they had to work hard to
understand what had been done. To the extent that that can
be helped editorially, I think it would be useful. The
assumptions are there. In fact it might be nice to lay
everything out on the table as to what you assume. It's a
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model where you make the assumptions and then you follow
through with it and I think we all understand that. I think
the reader will just benefit by a clearer, explicit set of
assumptions listed as to how you go through the whole
process. I think the example in fact was quite helpful.
DR. LIPPMANN: Joan, do you want to comment?
DR. DAISEY: Just to raise a question. On the
cotinine and urine studies, there seems to be a disconnect
between chapter 3 and this Appendix. There are two studies
in Chapter 3 -- there's no overlap. And then in Table B.1
there are a number of studies. I'm not sure what the basis
-- it may be because two people wrote them, but it's a little
disconcerting why some of these were selected for Appendix
B.1 but not included in 3.
And related to that is that it might not be a bad
idea to have a chemist take a look at the sampling and
analysis aspects of this. I did not have time to do that,
but in my experience,.not all analytical chemistry is of
equal quality just like not all epidemiology is of equal
quality, and if you're going to use this as a basis for some
of the corrections, it's important to take a look at that.
DR. LIPPMANN: Paul.
DR. LIOY: I have two issues with Appendix B.
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1-63
DR. LIPPMANN: Well, there's still no microphone.
Speak a little louder, please.
DR. LIOY: Okay. Yes, sir. I have two issues with
Appendix B. Maybe it's my background, but I get very
disquieted when I start seeing terms show,up before I see the
equations. It does not allow me to logically process
information and determine what the logic basis is for your
arguments.
I'll give you an example. On you start
"Jh
saying, let" designate. What is that related to? I
have to go over to the next page to start picking up some
tidbits as to where it is and what it means. I think that
any formulation that you have for an equation has to set up
the argument logically and then proceed to deal with the
terminology and make the definitions which I think is clearly
defined by other individuals as being out of place and in
some cases, difficult to find, and then proceed to deal with
the assumptions you have to provide to use that equation.
I had to dig around this chapter quite heavily to
find out what you were doing. Although it's right, it took
me two or three hours, when it should have taken me 10 or 15
minutes. I think that if you present it clearly, you will
have the audience be able to understand what you're doing
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much, much better. That's number one.
Number two -- and Dr. Daisey jumped me on this,
which I think is quite appropriate in some ways since she's a
chemist -- is that I didn't find a connect between the
cotinine studies between Chapter 3 and Appendix B, which is
sort of surprising. I think that it's important because in
Chapter 3 you base a lot of your exposure assessment on the
cotinine studies, and here you're dealing with biases in your
analysis and I think it's clear that you have to at least
determine whether or not they're equivalent, and I think
expanding on what Joan said, to understand the uncertainties
associated with the different studies, if you have a degree
of understanding as to whether or not the analysis and also
the framework of sampling were compatible between these
different studies.
I don't see, at this point, making many great
changes unless you come up with some kind of surprise, but I
think clearly it helps your argument by defining terms,
defining uncertainty and showing crossover.
DR. LIPPMANN: Thank you. Anyone else? Yes, Dr.-
Kabat?
DR. KABAT: I didn't read this Appendix in depth,
but I want to make two points and maybe you can explain, have
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enough time to explain. I have a concern that since cotinine
only reflects smoking in the immediate past few days, I don't
understand how one can come up with an estimate of
misclassification of ex-smokers going back people who have
c~uit 10, 20, 30 and more years ago. And this might be the
bulk of -- it may be a greater tendency for people who quit a
long time ago to suppress or deny their past active smoking.
So that's a basic concern.
A second point has to do with Table B.4 and B.5
where you present data from the Kabat & Wynder publication of
1984. I just wanted to remark that on Table B.5, line 2, the
seven*misclassified people who we found out by looking at
hospital records had told us in their detailed questionnaire,
responding to our questionnaire, that they had never smoked,
had never even dabble -- more than dabbled with smoking. We
found out when we looked at the charts that they had told the
physician, whoever took the history, that they had a history
of smoking, and in some cases that they were smokers of two
packs a day, but it was 20 or 30 years ago for some of these
individuals.
I just want to remark that we did that because that
was one of the few things we could do to try to improve on
our classification, but that appears to me to represent the
y
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lower bound. I mean, there's certainly more
misclassification there. So this one percent from our study
can be taken to mean that the actual misclassification has to
be higher.
DR. WELLS: Can I comment on that?
DR. KABAT: Sure.
DR. WELLS: There is also a perceived overlap. The
cotinine studies are just doing current smokers. Some of
those are going to get caught when they would have been in
the ex-smoking category. The only tool we have to attack the
ex-smokers are these two points in time interviews. So it's
the only data source that we have.
DR. KABAT: But it's not getting to people who quit
20 years ago because they weren't doing --
DR. WELLS: What we thought was that the two kind
of offset each other. I don't know whether I'm making myself
clear. Some of those ex-smokers who had also been caught in
the cotinine studies -- I'm not so sure I've got it clear in
my own mind -- there is an overlap between a cotinine studies
and the discord in the answer study, a small overlap there.
We thought that would take care of is underlying group that
you're talking about. It wouldn't show up in either.
DR. KABAT: I think that's whatof the nubs of this
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issue. If our experience in our hospitals getting these
lifetime smoking histories has -- and Mike Lebowitz referred
to something similar -- I think at the very least you need to
point out what you can do with the urinary means to detect
misclassification and what maybe is beyond the reach of
urinary cotinine.
DR. WELLS: Well, the cotinine wasn't used at all
to judge the ex-smokers. That was for all the --
DR. KABAT: That's just current smokers.
DR. WELLS: Even in your case, where you could be
took the seven out before you made your analysis, we still
have an 11 percent misclassification factor for your study
for ex-smokers, so I think we've been pretty conservative,
really, in terms of the way we dealt with the data.
DR. LIPPMANN: Paul?
DR. LIOY: Just one nore point. I had assumed that
the cotinine information was just for current smoke and not
for historical purposps.
DR. WELLS: Right.
DR. LIOY: I think that that's the point. It
wasn't used for historical. All right? But your point is
well taken. It cannot be. At least, I haven't figured out
how.
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)
DR. KABAT: But that's got to be gotten by other
means.
DR. LIOY: By totally different needs.
DR. KABAT: And it's got to be made clear to the
reader, too, in some of the reviews --
DR. LIOY: Yes.
DR. KABAT: -- because Fontham did use that and
obviously that's a strength of the study, but it doesn't
address the whole issue of smoking.
DR. LIPPMANN: I think it's clear in both these
Appendices that there's a need for the non-specialist to read
this and be satisfied that this is being handled, and they
both, so far, have been written more for your colleagues who
are intimately aware of this and the logic of presenting it
is important, even in an appendix, when you're talking about
this particular subject.
DR. WELLS: I might say, out of Appendix B, that I
wrote a version and I,presented it to Stewart and he said,
knrcadq ~ A
that's e. Then he wrote a version and then he
showed it to Brown, and he said, that's unreadable. And so
he fixed it.
I think the problem here is that this is such
complex problem that it is extremely difficult to write it up
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1-69
in any way that's understandable by people just on a first
quick read.
DR. LIPPMANN: Still, but it's important to go as
far as possible down that road. Steve, do you have any
questions or comments about -- we'll give you all --
obviously, not going to take all morning.on this.
PARTICIPANT: Jerry has some comments.
DR. LIPPMANN: Oh, I'm sorry. Jerry?
DR. WESOLOWSKI: I just have one comment as a
result of your comment about 11 percent and how you're being
conservative -- conservative in the sense that you tend to
underestimate the effect rather than overestimate.
This happens in a number of places in the document.
As a reader, I think it's very important for me that you
bring this out'because sometimes we're getting very detailed
instructions here about some error your might have made, and
that if you actually corrected the error, you would get more
cases, rather than less.
So, throughout the document there are a number of
cases where you're being very, very cautious, so you couldn't
be attacked for bringing out estimates that are
overestimates, but you didn't really make that clear, that
you are being cautious -- as someone said, you've got to be.
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careful of that word because you can use it both ways. So, I
think in the document, whenever you do overestimate, in your
opinion, that should be stated.
DR. WELLS: I think in a general way, Stewart and I
have been working on this for about three or four years.
It's pro bono work on Stewart's part. He does it when he
gets the chance. We had the paper almost ready to submit to
the peer review journal in response to Dr. Samet's comment.
But what we've tried to do is take the best of what
Peter Lee had originally and improve upon it and still
maintain the three levels that you have to -- that I think
you have to do, that being, the regular smokers and the
turned smokers are your key. They're where most of this
classification comes from. Then you have the occasional
smokers who really contribute relatively little. And then
the ex-smokers. And as we said, they're mostly long-term ex-
smokers, and that's pretty well documented, but we could
strengthen that.
So I think what you have here is a synthesis,
really, of Peter Lee's work, Stewart's work and my own work.
And I think it's about the best we can'do.
DR. LIPPMANN: Just a general comment about using
material which has not previously been peer reviewed. In the
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case act context on the ambient air pollutants, there's a
general prohibition, but not an absolute prohibition, of
that. In other words, when you use a non-peer reviewed work
in that kind of a document, you're under an extra obligation
to justify its use. Not that you can't ever, but when it's
sufficiently and unique and important to use it, you're
obligated to provide more justification than you would
otherwise do in order to use it, and I think that applies in
this case. So, a little more justification of this is
warranted.
Any further comment? Let's move on then to
Appendix C. Dr. Weiss.
APPENDIX C - REVIEW FORMAT FOR CASE-CONTROL STUDIES
DR. WEISS: Appendix C is the review format for the
case-control studies of lung cancers, basically a data
abstraction form that's divided into five parts: the general
characteristics of the study, data collection which includes
study design features; clinical data; statistical analysis;
and part 5 which is potential confounders and effect
modifiers that were considered. Part 5 was mislabeled; it's
called "Dependent Variables." These aren't dependent
variables, these are independent variables, covariants or
confounders for parentheses sake. So that piece is
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1-72
mislabeled.
I think the form is reasonably complete in and of
itself. I think the problem that I had is that there's no
preamble to this or description of it and how it was used and
in the context -- actually going back to Dr. Samet's comments
about the review of the studies on ETS and lung cancer, you
almost wonder whether something ought to be -- this needs an
introduction is what it needs.
It needs something that says look, this is how this
was used and the people who abstracted the data did this, and
so on and so forth. But as it stands now, somebody just
reading the Appendix, you're just looking at this form and
you don't have any context with whiph to judge it.
I think the other issue is that many of the form
entries are free form. For example, the study uses the term
"nonsmoker" or "never-smoker" to mean, and then there's a
space for -- you know -- you could fill in the exact sentence
from that particular study. But it isn't clear how this was
then translated or reduced in a quantitative sense into some
-- to be actually used In a meta-analysie.
I mean, there's a finite number of definitions of
nonsmoker or never-smoker in these studies. You didn't just
take the text here, you know, you had to then categorize
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these definitions, so that there's another step beyond this
form in terms of how you utilized the data.
I think the form is complete. I don't think that
that's a problem. I didn't come up with things that were
missing. But in terms of actual things that you were
abstracting from the study, I think that it needs some kind
of introduction as to how it was used and maybe something at
the other end in terms of how when you took this, what were
the actual number of categories or definitions or so on and
so forth.
I mean, it needs some sort of -- I suppose the
other aspect of this which could be applied to any of the
other studies, I think that we used in the meta-analysis or
risk assessment, you know, the same -- this form applies to
the case-control studies but you could have a similar form
that you use for the cohort studies. If you did, how did it
differ from this?
I mean, I dqn't think you want an appendix that's
20 pages here, but I think you need a little bit more -- it
has to be a stand-alone thing. Somebody ought to be able to
turn to this and try to figure out what you did. And I don't
think you can do that just from this form. I think that's
the problem.
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1-74
Now, you may want to give some thought to as to
whether -- we haven't gotten through all five of the
appendices -- as to the order of these and whether they're in
the right order. If you think that this -- again, going back
to the comment that Jon made, in reading over the summaries
of those cases -- that they were prepared from this form --
DR. BAYARD: They were.
DR. WEISS: -- then what you want to do is put the
form up front and you want to say how you used it and exactly
how you did it. And then you can go to the summaries of the
studies and it can be organized in a little bit more of a
logical fashion.
So I think that those are my major comments. There
are a few misspellings and some other things.
DR. LIPPMANN: Anybody else? Jon?
DR. SAMET: Two minor and very specific comments.
One on the classification histologic type of tumor. It's
probably useful to note whether that was done by a review
panel or not because data brought in from either routine
clinical records or registries that have not been reviewed
are certainly subject to the misclassification that comes
with multiple observers.
Just another comment. In fact, there's a lot on
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here for airway proximity, and I think that one or two
studies attempted to provide cases as central or peripheral.
I'm not aware of criteria for doing that other than
radiography, which really has nothing to do with airway
generation. So this is probably somewhat of a moot point in
terms of utilizing this item once you identify it in the
studies.
DR. LIPPMANN: Okay. Let's move on then to
Appendix D. Dr. Stolwijk.
APPENDIX D - LUNG CANCER MORTALITY RATES ATTRIBUTABLE
TO SPOUSAL ETS IN INDIVIDUAL EPIDEMIOLOGIC STUDIES
DR. STOLWIJK: Appendix D describes the attempts to
determine the lung cancer mortality rates attributable to
spousal ETS in individual epidemiologic studies. This
becomes a necessity because the background exposures and the
background rates are very different in different studies and
in different countries. And in order to calculate the
attributable risk, there are adjustments needed, and the
basis of this and the problems with it are described in this
Appendix.
The tables in the Appendix describe the female lung
cancer mortality from all causes and as attributed to spousal
smoking and never-smoking. The difficulties in it result .
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from the fact that if there is not a constant background of
lung cancer in females, as there isn't, in most countries,
the female mortality from lung cancer is on the way up and in
the United States, for instance, it's on the way up very
rapidly, so that the time at which the study was made, if
there are comparisons that needed to be made, it needs to be
taken into account.
The way the cases were actually obtained in the
population and the study is of great importance. The
decisions for exclusion of certain types of cell types or
decision inclusion of different cancers affect.the rate of
lung cancer mortality in these populations, and all of these
factors are dealt with in a proper manner with an explanation
of what these difficulties are and what the sources of the
data were.
I think that in general the attribution of lung
cancer risk to two different categories is a thing that is
fraught with considerable difficulty, and also the
attribution from other causes is not always widely acceptable
because of differences in the different populations that were
on the study and all of these cause complications that are, I
think, appropriately listed in Appendix D, and these results
are then later on used in the assessment of population
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impact.
I have no specific difficulties with the
presentation that we have here. The material appears to have
been carefully collected to be applicable to the various
studies. I think it represents an appropriate way of trying
to assess the risk attributable to spousal ETS which is,
after all, the major factor of the study in the various
studies that are being evaluated in the chapters in the
report.
DR. LIPPMANN: Would anybody else on the panel like
to comment on this Appendix?
(No audible response.)
DR. LIPPMANN: Then we'll go on to the last
Appendix, Appendix E, Statistical Formulae. Dr. Rockette.
APPENDIX E - STATISTICAL FORMULAE
DR. ROCKETTE: This is short Appendix, two pages,
which gives some standard formulas for risk and/or variances
in case-control studies and in cohort studies.
WaS
I felt it as rather straightforward. There is a
typographic error, I believe, on the first page, E.1. where a
log(OR) is used instead of a log of the odds ratio. But I
think other than that, I did not find any errors in it and
thought it was acceptable and clear.
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DR. LIPPMANN: The other reviewer of this is Dr.
Woods. Again, I'll read from his comments.
The organization and readability of this Appendix
is a substantial improvement over the previous draft, which
was Appendix B in the 1990 draft. However, a few points of
clarification would be helpful.
One, the basis for assuming a log normal
distribution of data analyzed by the formula in this Appendix
should be stated or referenced.
Two, a reference or justification of the test
statistic given in the last paragraph on page E.1 should be
provided.
Three, should not the term "RR" in the denominator
of the test statistic in the last paragraph on page E.1 be
"OR?" Jim thought that that might have been a misprint.
Four, a reference or justification for the variants
of log(RR) in Section E.3 should be provided.
Those were the specific comments he had, and you
have the written version of that.
Does anybody else have any comment on this
particular Appendix?
(No audible response.)
DR. LIPPMANN: Well, it's clear the Appendices need
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some careful re-examination, and in some cases,
clarification. I don't think that anybody has identified any
fatal errors, although some of the numerical conclusions
might need to be adjusted after taking into account these.
And if some of the small errors that have been identified are
really errors and not just misunderstandings, that might
change some numbers in the conclusions.
But by and large then, these have been important
things to include, just so
we can understand the text
drafters that come ahead, and we leave the clarifications and
corrections, if necessary, to you, and assume then that these
Appendix materials enable us then to have an appropriate
discussion of the actual chapters and the use of the
techniques describing the Appendices.
We are then finished with our morning schedule a
few minutes ahead of time. We will resume very promptly at
1:00 p.m. since we have a long afternoon. There's no excuse
for anybody to be lats for the resumption of this session. I
don't need to respond to anybody on the panel to call the
morning closed.
Whereupon, at 11:33 a.m., the hearing in the above-
entitled matter was recessed, to reconvene this same date at
1:00 p.m.)
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AfT B R N O Oh S F. S SiO N_
(1:03 p.m.)
MR. FLAAK: Before we get into the meeting, I'd
like to ask all of the speakers who are scheduled to speak
this afternoon starting at 3:00 p.m. -- and we will take a
short break just before the speakers start -- I'd like to
you to go to the back table sometime in the next hour or so
and let my assistant, Carolyn, know that you're here and to
clarify with her what your audio-visual needs might be,
whether you need the 35 mm or the overhead.
We do have both, but it's a matter of moving the
table back and forth for either one of them, and we'd like to
know which piece of equipment you will need to help us for
our planning.
Thank you.
COMMITTEE REVIEW OF CHAPTERS, 4, 5 AND 7
DR. LIPPMANN: We're going to review Chapters 4, 5
and 7 this afternoon grior to the public comment. The first
Chapter is 4, Hazard Identification I: Lung cancer in active
smokers, long-term animal bioassays, and genotoxicity
studies. We'll start the review with Dr. Stolwijk.
PARTICIPANT: (Inaudible.)
DR. LIPPMANN: Oh, okay. We'11 go on then to Dr.
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Eatough and then come back to Dr. Stolwijk.
CHAPTER 4 - HAZARD IDENTIFICATION I: LUNG CANCER
IN ACTIVE SMOKERS, LONG-TERM ANIMAL BIOASSAYS,
AND GENOTOXICITY STUDIES
DR. EATOUGH: I will actually have much more to say
when we talk about 3 and 6, in spite of the fact that I've
been asked to give a formal review on this, because the
toxicology that's in the chapter is somewhat out of my area.
There were two things that I thought were really
missing in the chapter to really bring together the argument.
And part of what's missing I think reflects deficiencies,
particularly in Chapter 3, that we'll talk about tomorrow in
terms of quantifying the differences between the
environmental tobacco smoke and mainstream smoke. A lot is
made of the similarities between the two but it's discussed
very much in a very qualitative nature.
I think a number of things could be done to help
tie that up. Much of.the data that would tie that up, that
would help, I think, to bring that together, is within the
chapter, but the comparisons are not very qualitative with
yf~
respect to is the xpectan potency for sidestream smoke,
environmental tobacco smoke, greater than or less than,
what's the sign, and is the difference between the two'orders
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of magnitude difference or less than orders of magnitude
difference. And depending, of course, on the conclusions you
make, the comparison become -- the similarities between
environmental tobacco smoke and mainstream smoke become more
or less important.
If the prediction is that environmental tobacco
smoke is less potent, then mainstream smoke and the
differences are orders of magnitude, then you come to
different conclusions than if the reverse is true, that you
expect the potency to be greater for environmental tobacco
smoke. And then the question of the order of magnitude of
difference becomes less important.
Those were really the concerns that I had as I read
through it, is that there really was nothing to let you
quantitate the statements that are made about the comparison
between environmental tobacco smoke and mainstream smoke that
would let you put both the statements in this Chapter and the
statements in Chapter.6 into perspective. I think that a
good part of that is deficiencies in Chapter 3 that could
address some of those questions but those, I think, are
things that we'll talk about later when we review that
chapter.
23 1 DR. LIPPMANN: Dr. Kabat.
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DR. KABAT: Most of the epidemiologic material
contained in Chapter 4 is drawn from previous reports, the
Surgeon General's report and the IARC tobacco report. On
reading it through, it appeared to me to hit the major points
that I would like to see made on the known effects of
tobacco.
I'm not sure whether all of the tables that are
included need to be included. I could see a more pithy
summation of the evidence on active smoking and lung cancer,
but that's more an editorial decision. That's basically it.
DR. LIPPMANN: My own comments on this chapter are
generally that it does the main job it was intended to do.
It provides the concise and adequate summary of relevant but
indirect evidence supporting biological plausibility for a
causal association between long-term exposure to ETS and an
elevated risk for lung cancer.
The clear dose-related association of lung cancer
risk with exposure to.mainstream smoke, the presence of
essentially all of the same known carcinogens in both
mainstream and sidestream smoke, the evidence that you can
get, at least laryngeal cancer is in the Syrian hamster with
mainstream smoke, and the greater carcinogenic potency of
sidestream tar than mainstream tar in the mouse skin are all
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consistent with an elevated risk of lung cancer in nonsmokers
chronically exposed to environmental tobacco smoke.
This is all qualitative, as Dr. Kabat suggested, a
kind of chain of the evidence we offhandedly suggested be put
in this document, and it's there. In my mind, it's adequate
as supporting evidence.
I would, however, like to see the text gone through
to change some words here and there. For instance, on the
first paragraph, a "notable cancer risk," I think you mean an
"elevated cancer risk." I'm not sure what "notable" means.
In the second paragraph, it talks about these "excellent
reports." You might say they were "comprehensive reports."
I don't think you want go grade them in the sense of -- with
this kind of loose usage of words is a distraction, really,
from this report. In the next paragraph, Jan points out "the
wealth of" and so forth and so on.
DR.STOLWIJK: Especially a wealth of human cancer
studies.
DR. LIPPMANN: I think that simply detracts from
what basically I think is a sound chain of evidence
discussion.
There's also in a number of places, a confusion of
ETS and sidestream smoke. I think you want to very carefully
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go through and say "sidestream" when that was the vehicle
that was evaluated. Not that it necessarily wouldn't apply
to the other, but to be precise about what it is that you're
doing.
I guess I have the most significant bone to pick on
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page 4.10, line 13. There is a statement that "due to the
similarity in chemical composition between mainstream and
environmental tobacco smoke, and the known human exposure to
ETS, ETS would also be classified as a known human
carcinogen." It seems to me that statement is not warranted.
If it were, there would be no need for Chapter 5.
In my view, the material in Chapter 4 adds a strong
basis in terms of biological plausibility for the positive
associations between ETS and enhanced spousal risk for lung
cancer. It is'the weight of the evidence in both Chapters 4
and 5 that justifies the classification of ETS as a known
human carcinogen.
So I'm not dissenting from your overall judgment,
but I find that the evidence in Chapter 4 is not evidence in
and of itself. It lends support for the human studies with
real environmentally relevant levels. Without that
plausibility, the less than conclusive nature of any
individual study makes the overall thing look weaker. But
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with this plausibility, this chain of evidence, as we
suggested back in late 1990, it hangs together.
So I think that that statement at the very last
paragraph of the text of Chapter 4 on page 4.10 needs
qualification.
Are you ready, Jan?
DR. STOLWIJK: Yes. In the review of this I was
pleased to note that the evidence that exists for mainstream
smoke being a carcinogen, as has been evidenced in a very
large number of studies satisfying almost any criterion that
one might wish to apply to it in terms of biological
plausibility, in terms of dose-effect relationships, in terms
of reversibility of the risk after cessation of smoking, and
also in terms of the animal evidence that has been
accumulated both for mainstream as well as for sidestream
smoke, is all very consistent with the fact that mainstream
smoke would be classified as a Class A carcinogen, although
to my knowledge, EPA never has actually done so.
It has never entered into the risk assessment
system within EPA, but it would be an appropriate thing based
on its rules of evidence that it be a Group A carcinogen.
This, of course, would refer to the much higher concentration
and a much higher exposure and higher doses that would be
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occurring in people exposed to mainstream smoke.
However, the biological plausibility for ETS being
a human carcinogen is certainly supported I think very
effectively in the report in this chapter. I would, I think,
agree with the Chairman that the conclusion that it by itself
would be classified as a known human carcinogen in the
absence -- if there were no other evidence, is probably not a
completely defensible statement at this phase of the
document.
DR. LIPPMANN: Vic.
DR. LATIES: I wish the tables would be more
completely explicated somewhat. I couldn't understand Table
4.11, for instance, where the lung cancer death attributed to
tobacco smoking in certain countries. It's in the second
column, "Number of Deaths." Is that the number of lung
cancer deaths? And then what's the expected death in
nonsmokers? The first column must be "number of deaths in
smokers by lung cancer" and in nonsmokers, is that "ex-
smokers" or is that environmental tobacco smoke predicted, or
what?
I think that Geoff, when I was talking to him --
Geoff Kabat -- suggested these tables come from some other
document. And if so, I think more of the other document
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ought to be brought over into this document so that it would
be crystal clear to the uninitiated what they're seeing here.
And there's another problem later in "nonsmokers." What does
that mean?
DR. KABAT: Or else it could be boiled down to
something that was more readable by the general reader in
talking about the magnitude of the risk and dose response and
quitting, and so forth and so on, and anyone would be able to
follow it.
DR. LIPPMANN: Clarification is always desirable.
Joan, you had your hand up.
DR. DAISEY: Just some minor things. I certainly
concur with all the comments made so far, including a little
more precision in language would be useful.
One of the places where this applies might be in
the use of the word "condensate" in the animal studies. In
the old literature, my understanding is that is the
mainstream smoke, but.you ought to be sure on each of those
studies that that is actually what they tested. It sometimes
pays to look at those details.
DR. LIPPMANN: There was one comparison where they
explicitly used sidestream condensate in comparison to what
is apparently mainstream.
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DR. DAISEY: Right. Yes. And it has to be clear
exactly what it is they're testing. I think you could refine
it a little bit.
DR. LIPPMANN: Kathy.
DR. HAMMOND: In the clarification department, I
had a lot of trouble with Table 10 in trying to figure out
what the results were because I think they vary. It's a very
interesting table, but the results are different results as
you move through the different studies. Sometimes they're
relative risks and other -- and sometimes I couldn't figure
out what they were.
DR. LIPPMANN: So, there's a big blank space, and
most of the comments, and perhaps comments are needed.
DR. HAMMOND: Well, I think that there may be even
a -- the columns have different meanings, as you move through
the studies. This needs to be clearer, of what's going on.
Generally, I concur with most of the comments that have been
made so far. I particularly enjoyed seeing Table 4-3 with
the dose-response, and also even at the low levels of
smoking, the evidence that there were still effects seen at
the lowest levels.
I'd like to ask a very naive question. For the
same level of smoking, the mortality ratios in women are much
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lower than the men. Is that because the nonsmoking rates are
higher or because there seems to be less of an effect?
DR. LIPPMANN: No. Cigarette smoke today is not an
exact expression of dose. How you smoke certainly can
make a difference.
DR. KABAT: How long you --
DR. HAMMOND: Well, is the thought that depth of
inhalation and how they smoke --
DR. KABAT: Which table are you looking at?
DR. HAMMOND: 4-3. The reason that I bring that up
is I think that the answer to that would have consequences in
some of the later extrapolations.
DR. KABAT: This was baseline smoking data from
1959 in the first ACS study. So if you go back to 1959, that
was really the'beginning of the taking off of women's
smoking. So if you took the average male smoker and the
average woman smoker, back then the average male smoker had
smoked for 30 years or something, 20 years, and the average
woman smoker would have smoked for a much shorter period of
time. So I mean, that probably adds --
DR. HAMMOND: Yes, because that's not in here at
all.
23
DR. KABAT: Men typically smoke a good deal more
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1-91
than women. But that wouldn't account for -- this is
stratified by that -- and inhalation.
DR. HAMMOND: Right.
DR. LIPPMANN: I think it's my impression, that
maybe they just that they inhaled more deeply, and that would
make a difference.
DR. HAMMOND: What I was interested in is if there
was a gender difference in sensitivity, which, if there were,
would be important later in the extrapolation of female
nonsmokers to male nonsmokers. That was why I asked that.
DR. STOLWIJK: We now have achieved in Connecticut
a happy situation where the current incidents of lung cancer
in women between 40 and 60 is the same as that as men.
DR. KABAT: Full equality.
DR. HAMMOND: Yes, right.
DR. LIPPMANN: Let's not pursue that any further.
Any other comments or questions on Chapter 4? Paul?
DR. LIOY: 1Iaybe I should just emphasize Delbert's
comment. The beginning of Chapter 4 is going to have to do a
lot more to link within Chapter 3, and it's unfortunate that
we haven't been able to go through Chapter 3 first because I
think there's some logic that has to be put into the
beginning of Chapter 4 that is not here at the present time.
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DR. LIPPMANN: Well, that's unfortunate. I did
that in part because of the people who were going to be here
yesterday and not today.
DR. LIOY: We are losing something by not doing
that.
DR. STOLWIJK: We may need to come back to --
PARTICIPANT: I think that would be a good idea.
DR. LIOY: I think it would be excellent to revisit
it tomorrow.
DR. LIPPMANN: I think in finding that Chapter 4,
which is crucial, is certainly minimal, possibly adequate,
with -- that you have both these oral comments and written
comments, why don't we then move on to Chapter 5. Dr. Samet.
CHAPTER 5 - HAZARD IDENTIFICATION II: INTERPRETATION
OF EPIDEMIOLOGIC STUDIES ON ETS AND LUNG CANCER
DR. SAMET: This chapter overviews the
epidemiologic studies of ETS and lung cancer, evaluates these
studies and provides a meta-analysis. Summary analyses are
presented by geographic region and by tiers of study quality.
The chapter ends with an overall evaluation of the evidence
and the conclusion that ETS is a Group A human carcinogen.
In terms of a few general comments, I support the
general approach of reviewing the studies, classifying them
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by quality, and calculating a pooled measure of association.
But I identified a number of major problems and then some
minor ones, and I'll take you through those.
I think the same concern that I voiced with regard
to the.Appendix immediately arises in reading Chapter 5.
That is, there's not been a good formal framework of
epidemiologic methodologies set out for reviewing the
evidence and discussing the various types of bias.
In my written comments, I make some suggestions
which I really voiced earlier with regard to the Appendix
about how you should systematically approach the problems
that affect case-control studies and address them. I think,
again, while there's some general language in here, for
example, on what confounding is and some discussion of
aspects of information bias is never, I think, drawn together
as well as it could be.
I think, again, this problem then returns when the
individual studies are discussed in the body of the chapter,
just as it did in the discussion of the individual studies in
the Appendix.
The footnote to Table 5.1 is the description of the
development of the tiers of the studies, and because this
serves as the basis for selecting groups for into and out of
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the meta-analysis, I think that this needs better description
of how it was done. Was it done by one individual? Was it
done by several individuals? Was it reproducible? Or to
more fully develop formal criteria and apply them in a
blinded fashion to the investigations by several people and
see if this classification is in fact reproducible. I don't
necessarily dispute the rankings that you've assigned to the
studies; I just think that there should be an explicit
methodology.
So, those were my concerns about sort of the
general approach to the epidemiologic literature. I think
sort of a corollary of this which I have written as a major
concern is that in fact the text just still needs careful
editing, and I kept my panel on it while I read it. I think
there's some vagueness in the use of epidemiologic
terminology that I think introduces ambiguity, and it needs
to be corrected.
I'm somewhat concerned about the discussion and
handling of confounding. There is a discussion of what a
confounder is that I feel is subsequently in fact ignored in
the discussion of the literature.
You turn to -- I guess this is now page 5.17 where
there's a formal discussion of what a confounder is and at
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least without delving into the complexities of confounding,
the confounder is a factor that in its own light is the cause
of the disease of concern and is also associated with the
exposure interest. And there seems to be substantial
confusion between variables that are found to be associated
with environmental tobacco smoke, which have not been
causally linked to lung cancer in never-smokers, but
nevertheless, they're discussed as though they were
confounders, and they're simply not confounders. They have
not met any evidentiary standards that we're now in fact
applying to environmental tobacco smoke.
So I think it's incorrect to discuss some of these
matters such as family history of lung disease in never-
smokers where the evidence is not sufficiently amounted to
regard them to causes of lung cancer in never-smokers in
their own right.
So I think a definition of confounding is offered,
but it is not then in.fact applied to the literature that
follows, and it should be. I think this really goes back to
my earlier comment that you need to make sure that your
handling of these epidemiologic concepts is precise and
consistent, which it is not.
I think my fifth major concern really has to do
(J)
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with I think an incomplete handling the studies from China.
These studies were placed into the fourth tier. That might
be appropriate, but I think a large body of evidence having
to do with lung cancer in China is not cited, and that in
fact would include work done by the Environmental Protection
Agency looking, for example, to work with Mumford and others,
looking at the activity of the coal smoke in China.
There's also a substantial number of case-control
studies published in Chinese that have now been reported in
the U.S. literature that should probably be brought in as a
basis for better understanding the role of indoor air
pollution in China and what the additional contributions of
environmental tobacco smoke might be. If you're not familiar
with those studies, I can direct you to them.
I had a series of other minor comments that will be
included in my written material that I will supply, as well
as my own sort of editing of the document. I think, again,
good attention to the,language would help a great deal.
DR. LIPPMANN: Dr. Wesolowski.
DR. WESOLOWSKI: Well, I had a few editorial
comments which aren't worthy, I don't think, of the
Committee's attention, which you have in my written
statement. And I certainly don't disagree with anything Jon
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1-97
says. But I would like to say that I think the EPA staff
should be complimented in putting together a lot of studies
in a way that was readable. And also, I was impressed with
the different approaches they used to analyze, all of which
seemed to come to the same conclusion.
The basic question asked of the Committee with
regard to this chapter was, does any of this new information
or this different way of analyzing it alter our previous
conclusion regarding the characterization of ETS as an EPA
Group A carcinogen.
I should say I saw no evidence in that chapter that
the Committee should change its conclusion that ETS is a
Group A human carcinogen. In fact, I think the way the
evidence was presented and the evidence that was presented
makes it even more compelling than it was the last we met.
So that's my basic conclusion.
DR. LIPPMANN: Dr. Kabat.
DR. KABAT: There's been a big improvement, I
think, in the level of the treatment of the epidemiologic
studies on lung cancer compared to the 1990 draft. I have a
whole slew of specific comments on the text and on the tables
where I felt that the summaries that have pulled out break up
the flow of the text and I suggest that maybe the summaries
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of the studies could just be kept to the Appendix and can be
referred to in the text.
I felt that the treatment of the issue as
confounding by diet was a little bit -- diet is maybe one of
the prime confounders that needs to be taken into account,
but I'm not comfortable with the dismissal of the role of
diet in lung cancer in nonsmokers. I don't think the small
number of studies which present information on ETS exposure
among nonsmoking women and diet allow one to make a strong
assertion that confounding couldn't be going on.
So I would rightly point out that Linda Koo, who is
very interested in this whole topic of the apparent effect of
ETS being due to confounding by diet, that women exposed to
smoking husbands have a lot less healthy lifestyle and less
healthy diet -- that she hasn't analyzed her own data to
evaluate confounding. I think that's a good point.
I would like to see that conclusion tempered a
little bit because based on the ample studies of diet in
relation to lung cancer occurring in smokers as well as
nonsmokers, it seems to me that we can't rule out possible
confounding.
DR. LIPPMANN: Do you want to respond specifically
to the way you handled diet?
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DR. BAYARD: I just thought the last paragraph back
on page 23 really did point to the paucity of data. Based on
the studies that we could analyze, we did, and we just said
it's difficult to --
DR. KABAT: Right, but then you arrive at the
conclusion that there's no fact that it could confound this
association. And I'm just saying that that seems to me to be
putting a lot of weight on these six or so studies that have
any cross-classification of ETS exposure by diet. It's a
question of modified emphasis.
DR. STOLWIJK: I think what you're pointing out is
that the fact there is not strong evidence in these studies
ought not to be a reason to throw out --
DR. KABAT: That's it. It is very limited. It's a
really important question. It's a potential confounder.
That's the point.
DR. STOLWIJK: But you cannot assess the
confounding in most of these studies.
DR. KABAT: That's right, but it doesn't totally
eliminate the question.
DR. LIPPMANN: Are you finished?
DR. KABAT: One of the points that I made in
~1 /'i' G G 1
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discussing Janeric , there was something in the description
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that I couldn't find anywhere in the paper; namely the
statement that "Overall spousal smoking is not positively
associated with lung cancer. Whereas, all cohabitant is
somewhat associated." I could not find any evidence for that
in the text of the paper, and I wondered whether this was
based on a comparison of the table showing the effect of
smoking spouse versus the effect of total household exposure,
but I think it's questionable.
DR. LIPPMANN: What page are you on?
DR. KABAT: This is in the discussion of the
J:,,,ey~c.h S-3Z
-aarrer-i-ek paper on page 59S. The statement, "Whereas all
cohabitant smoking is somewhat associated."
DR. STOLWIJK: Does that have to do with the
children's exposure as a child?
DR. KABAT: No. It's separate from that. This is
in adulthood. Because that's the big conclusion, that people
exposed in childhood and adolescents to 25 or more smoking
years -- but this is something else.
My comment on that_is that this is actually sort of
J"t rler,i~
a confusing finding in the Janeri:sk paper. What they're
saying is that other household exposures in adulthood are
more important -- contribute more smoker years of exposure in
adulthood than spousal smoking. That's contrary to what we
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see in our case-control study. It seems to be at variance
with what you can drive from the Fontham paper, too, where it
also appears that spousal smoking is the major source.
Anyway, there are other details like that which
I've mentioned in my write-up and I don't need to go into
them.
DR. LIPPMANN: Mike, do you have some comments?
DR. LEBOWITZ: Yes. In regard to what Dr. Samet
said about the Chinese studies and also in terms of the issue
of confounding that Dr. Kabat brought up, I wanted to mention
a large number of papers that are published in the
proceedings of Indoor Air 1990. I chaired a session which
had 18 papers, 15 of which were from China, most of which
dealt with lung cancer, in most of those lung cancer in women
due to various'indoor combustion sources where a number of
them tried to fraction out the complication of ETS versus
charcoal wood, et cetera.
It does discuss the reason, or it presents the
basis for considering these other exposures at least as
confounding factors in nonsmoking women in that country. It
also shows that the level of scientific investigation there
is actually quite good. Again, it's one of the first sets of
a series of papers that have actually been translated into
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English and present quite a bit of data on the situation in
that country. So I think that, as Dr. Samet said, it would
be worth looking at that a little bit further.
DR. LIPPMANN: Okay. Is that it, Mike?
DR. LEBOWITZ: Yes. Thanks.
DR. LIPPMANN: Before I forget, now that most of
the audience that's coming is here, somebody in the audience
found this pen. So if anybody is missing it, come and get
it. Is anybody else commenting on this chapter?
DR. DAISEY: A question, perhaps, on the food
S-Z3
chapter back on page 323. The statement is made that the
potential for bias, and particularly for confounding, is
high. I didn't quite know, is there a reason to think it's
high? I wasn't convinced from what was presented here that
there was reason to think it was high. I mean, maybe it is;
maybe it isn't. Is there a reason to think that there is a
high potential for confounding?
DR. SAMET: This is what I was trying to say in my
comments. I think if you look at page 51-&, there's language
for that. I just think it is not correct. A number of other
variables have been considered as potential risk factors for
lung cancer, and thus confounded to the ETS lung cancer
association. Something that is a potential risk factor is
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1-103
not a confounder. I think that's really what Joan is perhaps
responding to in relationship to diet.
Specifically, we actually have precious little
information about the role of diet in people who had never
smoked as a risk factor for lung cancer. Much of it is
probably contained within these studies, in fact, and I think
if we did a detailed review looking at biological
plausibility, et cetera, we would be unable to draw a
conclusion at this point as to the role of diet in never-
smokers.
I think it would be hard, then, using our
conventional criteria for confounding to conclude that diet
is thus a potential confounder. Dietary patterns seem to be
correlated perhaps with both active smoking and passive
smoking exposure in some cultures. That does not, again,
make them confounders.
That was my concern in reading the language here.
These are correlates.. Perhaps in the future our knowledge on
diet should be strengthened, but right now we don't have all
the epidemiologic nor other evidence in hand to understand
fully the role of diet.
It certainly has not emerged as a strong factor
yet. So why would it be a strong confounder if it's in fact
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not emerging, at least in the initial studies, as strongly
associated with lung cancer risk?
DR. BAYARD: It just became a matter of discussing
this issue. If we didn't discuss it, then we would have
faced the criticism that we didn't talk about it.
DR. DAISEY: Yes, but this makes a value judgment
that I think is not supported. I mean, you make the judgment
that there is a high potential, but it doesn't seem as though
there's any evidence to suggest there is a high potential in
fact.
DR. FiANMOND: Just a potential.
DR. DAISEY: There's a potential, but it's not
necessarily high. If it were really high, it probably would
have come out of these other studies.
Do you see what I'm saying? The judgment that it's
high is what I'm having problems with.
DR. BAYARD: I think we made a suggestion that
there was a high poteDtial and then we analyzed the data to
see whether or not we could find any.
DR. DAISEY: No, but this is sort of in the
S-z 3
conclusion at the end of *2'3. Maybe you just need to look at
it later. I think it has to do, again, with the issue of
some use of language and being very careful with what you
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say.
DR. LIPPMANN: Careful with your adjectives.
DR. LIOY: I don't think it's just the language in
this case. I don't think we know enough of what
variables in
diet we're going to have to start thinking about as
confounders.
DR. DAISEY: But then you can't make the judgment
there's a high potential.
DR. LIOY: That's right.
DR. DAISEY: Or a low potential.
DR. LIOY: Or a low potential. That diet has to be
investigated to determine whether it is a confounder and then
the degree to which it's a confounder will be borne out by
the nature of the studies that you conduct. Right now it's
just that you know that diet is another actor that could be
considered toward, but you're not sure what it is.
I mean diet itself is not just a food basket
survey, it's how you prepare your food, the types of foods
you eat, whether or not it's broiled or fried, or a whole
host of other things that one has to consider in diet besides
food market. So I think there are a lot of potential
problems here in making any judgment at all at this
particular time. I think that any judgment at this point is
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very premature.
DR. LIPPMANN: Well, I guess what you need is any
evidence for a differential diet between smokers and
nonsmokers or passively exposed people and non-passively
exposed people because if diet has an influence, but it has
no differential influence, then it's not a factor.
DR. LIOY: That's right.
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DR. LIPPMANN: Any other comment?
DR. SAMET: Just to return to this issue. This may
be one way that in handling the evidence from multiple
cultures, if you can begin to assess the role of factors that
are sort of potential, potential confounders at this point.
And if there is, of course, a great deal of variation in diet
as you compare across cultures, probably even more than is
bounded within the range of diet of many of the participants
of these studies, and yet if the association is pooled, you
pool in Europe, you pool in the U.S. and you pool elsewhere
in the East, then the.picture begins to emerge.
So this is yet another way to try and understand
the role of theses factors other than whether a variable was
put into a regression model in an individual study.
DR. LIPPMANN: Kathy.
23 1 DR. HAMMOND: I concur about the comments about the kn
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1-107
use or misuse of the word "confounder." I think it is a
little too liberally used. And from the other perspective as
well, some exposures which may be thought to lead to lung
cancer may not be differentially associated with being
married to a smoker or not, such as what heat sources are
used, cooking with oil and occupations. That's kind of the
flip side that Jon mentioned.
Again, these may be effect modifiers. They're
important but they're not confounders. I think we need to
careful with it there.
I may be misreading the data, but you make the
S "
comment on page 5~3 that nobody found beta carotene to be
protective. But that seemed to me to conflict with at least
the Wu Study in Table 5-13 where you even have a little
superscript 3which says statistically significant of the 95
percent level. And there are a couple other studies that
look -- they're not statistically significant, but do look as
if it's protected. Maybe I'm misreading something here. At
least, just check that out because I thought that was a
pretty strong statement from other things I heard and the
table seems different.
DR. WELLS: I think the Wu Study is quite a bit of
smokers.
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DR. HAMMOND: Is what?
DR. WELLS: A lot of smokers in that Wu Study.
See, she adjusted for so much smoke per day.
DR. LIPPMANN: Are there any other comments then on
this chapter?
DR. BROWN: One thing is the confounding -- as we
define confounding, confounder -- and this is a typical
definition and it needs to be -- the endpoint that you're
interested in -- and on the dietary factors, the diet is of
interest for potential protective effects against lung
cancer, unlike more typical potential confounders that cause
lung cancer.
I'm trying to point out though that we're not
saying that the diet causes cancer, but it can be confounding
because -- potentially confounding, I should say -- because
it may have a protective effect so that in the nonsmokers it
may reduce the background rate of lung cancer rather than act
as a cause that's associated with the exposure to ETS.
DR. HAMMOND: I think that a confounder technically
can protect or -- it just affects the outcome.
(Simultaneous discussion.)
DR. LIOY: That's not the [prime] issue.
DR. HAMMOND: That's not the problem.
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1-109
DR. LIPPMANN: I think we've brought out the
concerns that will be amplified in detail in written
comments. Now it's necessary to move on to Chapter 7,
Passive smoking and respiratory disorders other than cancer.
For Chapter 7, we'll start out with Dr. Laties.
CHAPTER 7 - PASSIVE SMOKING AND RESPIRATORY
DISORDERS OTHER THAN CANCER
DR. LATIES: I had a problem with the in utero
exposure and its interpretation when the mothers also
continue smoking and expose their young to environmental
tobacco smoke. I don't see in this page -7:73-9 -- I don't see
how the case is made to consistently here to keep those two
factors apart. Just reading the plain English of these
paragraphs, it just didn't come out to me as being a done
deal. And once in a while I thought that whoever was writing
it was going to jump ahead and assume that the case was
proved.
This came up over and over again. For instance, on
96
f6, paragraph 2, line 1 -- "Activation of the preliminary
review of the endocrine system is not limited to ETS exposure
but is activated by active smoking as well." But I didn't
see where it was -- a function of ETS exposure and how that
was separated from the exposure during pregnancy.
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Frankly, I can't see how in the heck you can do the
experiment unless you talk ladies into having babies and stop
smoking during pregnancy and then start smoking right after
they give birth and vice versa. I can't see how you can get
any human data on this. There seem to be a couple of
examples, like Martinez, et al., was cited as having some
mothers who did in fact stop during pregnancy and so on, but
I don't see the data given in these paragraphs.
So the case needs to be made, and I wish you would
look at that again because I think it's an important point
and I think you want very much to make the case for
environmental tobacco smoke alone, although it certainly is
important for anyone to be exposed to it in utero.
I worry about some of the descriptions of some of
9-Y3
the specific studies like on page 3.43, the Svenson
collaborative study. There seems to be clearly no difference
between the effects on non-exposed subjects and on subjects
who had smoked 20 or more cigarettes per day, but the
conclusion seems to be that there's a no-dose response
relationship. But there seems to be no relationship. I
mean, the data seems to be in poor shape.
The other thing is I went and looked at that study
and there they had a great problem because they decided which
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males had smoking wives and which did not on the basis of the
smoking condition at the entry into a cohort study, I guess,
where the decision about smoking was made four or five years
before the data cited here I think were collected. So it
~ns
haue wives who had obviously started smoking again or stopped
smoking somewhere along the line. So I think more attention
should be paid to some of the descriptions of the studies
themselves.
The last thing I had to say is on confounders,
T1c1ors
potential confounders, deotars that seem to be affiliated
with poor respiratory health in children. I found the
article by Hood very interesting. It was sent in from the
public. In looking at it, it occurred to me to look at the
stuff written by Witorsch & Witorsch in their review, which
was also sent in by the public.
Witorsch & Witorsch talked about potential
confounders and identified 21 different factors which may
play a part in dictating the pulmonary health of kids.
Essentially, they examined some 40 studies or so and talked
about which ones had many confounders, potential confounders
taken care of, and which had few. It occurred to me to look
at the results in Hood's paper for those studies.
If you do this, you find that the studies that took
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into account many potential confounders weren't more likely
to show positive results or negative results than the studies
which took account of very few potential confounders. And
this essentially gives me heart -- I sort of feel suspicious
about any case-control studies and even the cohort studies
where nothing seems to be fixed in concrete as it would be in
a laboratory study with animals.
Well, it looked like the number of confounders
taken into account didn't matter very much. Now, it may be
that the reason for this is that the people who took four or
five things into account were picking ones which in fact had
strong relationships with the endpoint -- the restriction of
range phenomenon, in other words -- and anyone who took any
of them into account, took account of most of the variants.
So that's why I found myself less impressed by the
Witorsch & Witorsch conclusion because most of the studies
were lousy. I'd be interested in hearing from Dr. Witorsch
if he's going to be up later on that point.
DR. LIPPMANN: Okay, on Chapter 7 then we'll go to
Dr. Lebowitz.
DR. LEBOWITZ: In general, I though it was an
excellent chapter. It did to a great extent what I hoped it
would -- from our last meeting, what I hoped could occur in
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1-113
an appropriate evaluation of endpoints that I felt were very
important in terms of environmental tobacco smoke and what we
do about it.
Obviously, there are a lot of minor suggestions
that I have that I'm not even going to go into. But let me
deal just with the major ones.
One of them is that you have to go back and make
sure your conclusions match the data at all times. Sometimes
they're understated, sometimes they're overstated and
sometimes on the same page or one page to the next, you
change your mind about whether it's causal or whether it's
risk factor or whether it's potentially causal or risk factor
or whatever. I think that just requires editing.
And then there are cases where you go into
unnecessary conjecture, which might be fine if you were
writing an article and you wanted to fill your discussion
with what you thought might or might not be happening for
which you had no data: But sometimes you have the data,
whether it's there, and in some cases you just didn't look at
it and it's there. And other times you don't have the data.
And sometimes the conjectures are what I might describe as a
little bit off-the-wall, meaning that they're great thoughts
that might be deemed as hypotheses for some future testing
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somehow, but really they might not have a place in this
chapter.
There is actually a reasonable amount of evidence
that is lacking from the paper, although obviously, as shown
this morning, a lot of studies were added. It would
certainly strengthen the case in some instances to add those
references, and I've noted some that I was aware of, and will
provide references to that.
The one bit of information that I have provided
both to the Committee -- and then I will provide to the EPA
-- is the study I presented the last time showing lung
function changes in children related to ETS exposure. That's
been published and was not included. So that's an example of
the kind of study that actually strengthens the conclusions
about the effect of ETS on kids' lung function and brings in
the issue, by the way, of effect modifiers.
In this case, it added something to that section in
the conclusions about.what happens when kids start life with
low lung function. Are they at greater risk? And yes, they
are at greater risk, even when you control for other factors
that might be associated with both starting life with low
lung function and with parental smoking. So, having looked
at those in controlling form and still seeing this major
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1-115
effect I thought contributed a lot to our understanding of
the effects of ETS on kids' function.
It also had an impact on what the conclusions might
be in terms of the maximum effect on at least a subset of
children in terms of the decrement in function they will have
experienced. And that data are longitudinal and therefore
meet Dr. Samet's criteria of not being based on recall bias
or what have you.
And so other studies of that sort I felt
contributed. Now, at the same time, to balance that out in a
way, I added some information from the studies quoted,
including Dr. Martinez' study on asthma in kids, looking at
the differential odds ratios or relative risk ratios based on
what he controlled for and didn't control for in difference
cases. And using that basis, plus some additional studies on
asthma, I came up with two new conclusions.
One is that the strength of the association with
asthma is much stronger, but that the number of cases of new
asthma is probably much smaller than he provided, based on,
in fact, his own numbers from my study. I tested that out in
a couple other studies where I had data and came to the same
conclusions.
On the other hand, the proportion or the frequency
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1-116
of exacerbations of asthma produced by ETS based on the data
provided in the articles quoted would indicate a much larger
frequency, a much greater proportion of cases affected, plus
more frequent times they were affected. And so I've modified
that in this case to make a stronger argument.
DR. LIPPMANN: Excuse me. Is that in your
published paper, or is that something you've concluded
separately?
DR. LEBOWITZ: Well, it's the change in the number
of exacerbations -- is in some of my other published papers,
for which I've provided reference, some of which are already
quoted, because I've looked a lot at the exacerbations of
asthma and in association with ETS. And a few others have,
as well, that I've included.
The frequency of new asthma or -- sorry, the
incidence rate of asthma actually will be discussed more in
chapter 8, and I'll hold off on that. But in general, that's
sort of the type of tl}ing -- and I talked about other
mechanisms and other factors that were important.
I also think that the authors have to pay attention
to Appendix B more, and the statement about how biases tend
to overestimate the risk, and the misclassification bias when
corrected is a true downward correction. That is, that the
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biases aren't operating toward the null hypothesis; they're
operating toward the alternate. That comes up a number of
times in the chapter and I felt that that needed attention.
There are aspects also of the impact of some of the
conditions mentioned. For instance, the impact of lower
respiratory infections in children and what might occur later
on; the impact of bronchial responsiveness in children on
what detriment in lung function they were going to have in
early adult life. And I know Dr. Weiss has presented data
from his study showing they start life with, what, a 26
percent decrement, or something like that, in one of the lung
function measures. They had hyper-responsiveness. I know
you've presented that; I don't know if it's published or not.
Well, that is a major finding, and in fact I've
found that if they had asthma in childhood, they start life
with a 26 percent decrement both in my study and in Dr.
Weiss' population. I thought that that was critical to add
because if you start Odult life with a 26 percent decrement,
the risk of getting chronic airway obstructive disease and
what that represents in terms of disability, economic status,
early death, et cetera, is quite great.
So there are a number of cases where I say that
that should be -- discussion should be extended in terms of.
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the impact of ETS.
The other aspects. One of the questions I had,
too, and it may be inappropriate in this kind of scientific
discussion -- but economists who think they are scientists
also have made estimates of the annual impact of each of
these conditions, like asthma. And there was an excellent
argument by Kevin Weiss -- no relation to Scott -- in the New
England Journal of Medicine about that the cost of asthma is
$6.2 billion a year. I made a note that, if it were
legitimate, to add some of these types of well-documented
evidence about impact.
M.9RTiA/£Z,-'
DR. LEBAVITZ: We discussed doing that and decided
against it. We decided it was going to be based purely on
health and science.
DR. WESOLOWSKI: If I could to make a comment.
Actually, one of my comments was going to be that on page-73
1
you do have a sentence on the additional costs for emergency
care for asthma. And,I was going to recommend that, although
I don't agree or disagree with it, it shouldn't be in this
document because this is not a document on dynamic problems.
So I would say that probably you're correct in your judgment
to state it for science.
16,1,0 7j A/d'L "
DR. L~EBOWITZ:~ Ordinarily we wouldn't have done
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that. It just happened to be in the same paper that we
pulled other data from.
DR. WESOLOWSKI: You mean it just didn't get
blocked off and --
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mean, we used that paper for other data.
DR. WESOLOWSKI: I'd say to throw that out. I
mean, i just jars -- it jars the reader to suddenly see $68
in the midst of this multi-text document.
DR. LEBOWITZ: I didn't talk about the willingness
to pay to get rid of certain symptoms that might be produced.
But that's fine, I'm quite willing to accept that. Most of
the technical comments you'll find in the edited version of
Chapter 7 that I will provide you with the additional
references.
Getting back to some of the conclusions, though,
partly because of the way it was written and I think some
confusion in the mindr of the authors that led to the way it
was written, I don't think that we feel comfortable, or that
I feel comfortable, with some of the conclusions about, for
instance, ETS and SIDS here. I think sometimes the way we
rely on the NRC report and the Surgeon General's report would
also apply to the way we may want to rely on the CDC report
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on SIDS and ETS, and which in fact would strengthen the
discussion.
Now, I know that you reference the CDC report in
terms of the number of cases that might be attributed. I
think one has to go into that a little bit'more, and again,
in the same way that you did the NRC and the Surgeon
General's report.
I think that if you missed studies in the other
areas that I'm aware of, then you probably missed studies in
that area. And I don't know how far one should plumb this,
but if one is on the border line and you're sitting on the
fence -- and as uneasy as you appear to be sitting on the
fence -- then it may be worthwhile trying to find some more
of those studies to make either a stronger or weaker
argument. But at least get off the fence. Whether you're
able to do that or not, whether they exist or not -- in the
case of SIDS I don't even know -- but those are some of the
broad feelings I've had about it.
Now, in terms -- I, of course, also as an
epidemiologist, always have problems with the way effect
modifiers, confounders, interactions, et cetera, are discuss.
And I can just tell you that I've added a lot more on that as
well.
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In conclusion, I would say that from what I saw,
with some work it could be not only more readable but a
stronger discussion and argument and also provide greater
information about the impact of ETS in kids, which is -- in
other words, you haven't quite come up to the expectations in
terms of saying how important this is. And that's the bias I
bring to my review.
DR. LIPPMANN: Thank you. Dr. Weiss.
DR. WEISS: Let.me first say that I think that this
is substantially improved over the chapter in the initial
document. I think that -- and let me confirm my comments to
four areas. I think that most of these have been mentioned
so I'm going to be brief.
As was mentioned by Dr. Laties, I think this issue
of in utero exposure versus ETS exposure is a critical issue,
and it's a very difficult one. I think that you might as
well admit up front that it's very difficult to separate
these two. I don't know that the ultimate implications for
disease are all that different, but in terms of trying to
separate out whether the exposure is truly in utero or
postnatal is a very big problem.
I mean, just in the area of SIDS, I think it's
particularly important to acknowledge this because I think
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that from the biology of things in utero smoke exposure is
associated with placental insufficiency, smaller placenta,
size, placental abnormalities. And in addition, one of the
things that happens in developmental biology -- and this has
been documented with ultrasound -- is when women smoke during
pregnancy, the respiratory rate of the fetus drops and the
fetus has aptic periods. It's well known that there's
feedback -- thought to be feedback -- between respiratory
efforts in utero and the development and the control of
breathing apparatus in the fetus.
You know, I'm not sure that changes one's view
ultimately from the scientific point of view as to whether
the SIDS phenomenon related to this particular exposure --
how much of the weight you would place in the in utero
exposure versus the postnatal exposure, but I think that it's
a serious problem for almost everything that's discussed in
the chapter, particularly about things that happen during the
first year of life. qo I think that that's an important
issue.
I shared Mike's feeling that there were references
that were still missing here. Part of that I think relates
to the fact that this is an area where there's continued
literature and it's still coming out at a fairly impressive
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rate, and there is a cutoff time for this. But I would
encourage you to go back and be sure -- and in my written
comments I try to provide articles that maybe are missing
here.
I guess two other final comments. One is that I
think that the whole phenomenon of the ETS effects here have
to be placed in two separate contexts: the immediate health
effects and consequences to the child, which I think are
documented here; but also then the potential for increased
morbidity and mortality as an adult. And I think that
although lung function abnormalities that one observes here
in terms of maximum lung growth may be relatively small, they
may still be significant in terms of the ultimate development
of disease in adult life.
And then the final point I think is that it's clear
that not all -- in any of the subject areas discussed here
that not all the studies have taken into account all of the
confounding variables; And I think in the previous draft of
the chapter there was excessive emphasis on the methodologic
issues to the detriment of the biology. This has the biology
up front so that, I mean, it makes sense in terms of -- but I
think that some of that, you know, the critical covariants
and whether they were or were not controlled, I think it
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1-124
would be helpful to go back through the document and just,
particularly with the most important studies, and really look
and see whether all of that is in there.
I personally don't believe that, you know, there's
no such as a perfect study, and no study can control for
everything. So I don't think that that's any particular
utility, nor is simply a cataloguing of all of the various
potential confounders worthwhile.
But I think that the emphasis here is in the right
place. The emphasis should be on the biology and what's
going on. I think that there has to be a little bit more
attention, though, to some of these methodologic issues in
these studies that are discussed. But I think that it's not
-- I mean, this is something that can be worked with. I
think the document itself is clearly improved over what the
initial draft -- substantially improved. So I don't think
that these are major concerns.
DR. LIPPMANN: I will read some, but not all, of
Dr. Benowitz's written comments on this chapter.
"This chapter is an important component to the
report and it substantially improves the previous draft.
Section 7.2.2 presents evidence that the in utero exposure to
cigarette smoke via the mother significantly affects immune
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and pulmonary functions both in animals and humans. While
the evidence is fragmentary, the effects are consistent and
are overall convincing.
"The last sentence of the section states that
animal studies suggest that postnatal exposure to tobacco
products enhances the effects of in utero exposure to the
same products. This sentence needs to be referenced.
"Section 7.2.3 indicates the reduced airway size
and reduced respiratory flow rates in neonates are associated
with increased risk of pulmonary infections during infancy
and possibly at predisposition to chronic obstructive lung
disease in adulthood. This section provides an important
theoretical link between in utero or early life exposure to
cigarette smoke and abnormal lung function and pulmonary
morbidity in later life.
"Sections 7.2.4 and 7.2.5 provide evidence that
parental smoking -- at least heavy smoking -- enhances the
likelihood of bronchial hyper-responsiveness and other atopic
illnesses in children. ~~hese findings are even more striking
«ieKv
in light of the healt~y smoker effect. Overall, Section 7.2
provides an excellent overview of biological mechanisms that
may underlie the ETS respiratory disease association."
He then goes on to mention a recent study by Young,
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et al., from the New England Journal of Medicine in '91. He
thinks that should be mentioned.
"In this study, airway responsiveness to inhaled
methacholine was studied in 63 healthy infants two to 10
weeks of age. Airway responsiveness was increased both in
infants with a family history of asthma and equally in
children without a family history of asthma but who had one
or two parents who smoked cigarettes during pregnancy.
Whether this is an effect of prenatal or postnatal exposure
to cigarette smoke cannot be determined. However, this paper
strengthens the arguments presented in Section 7.2."
Section 7.4. "The title of this report is Recent
Studies of Acute and Chronic Middle Ear Disease. However,
some of the studies address upper respiratory tract
infections and'snoring. This discrepancy is first
distracting" -- he said "destructing," but I think he means
distracting -- "to the reader. An introductory sentence
might be included to gxplain why upper respiratory tract
infections and snoring are relevant in a chapter on middle
ear disease.
"The study of Strachan is particularly important
because it quantitates ETS exposure and shows a dose-response
relationship between saliva cotinine concentrations and risk
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of middle ear effusion. The importance of this type of study
should be emphasized."
He wrote it, I guess we ought to read it.
"The recent studies on cough, phlegm, or wheezing,
and ETS are particularly impressive in that so many studies
performed in different countries and with very different
methodologies have arrived at similar conclusions. Potential
confounders are thoroughly discussed. The issue of
"susceptibility," that is; of greater reporting in children
when the parents also have symptoms -- they are more likely
to be cigarette smokers -- is a difficult one to resolve and
will probably never be fully resolved. Nonetheless, the
conclusion of ETS exposure being associated with increased
prevalence of respiratory symptoms in infants and the young
is highly likely."
Section 7.6. "The new studies in this area offer
support to the conclusion that ETS exposure aggravates asthma
in children. The disgussion that it is more likely chronic
rather than acute exposure to ETS that increases airway
responsiveness, the importance of high levels of exposure,
and the socioeconomic influences on exposure are important
for our understanding of the nature of the relationship
between ETS and asthma, as well as for developing prevention
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strategies. The contributory role of airway hyper-
responsiveness due to a neonatal exposure might also be
mentioned as predisposing to later ETS-induced asthma. One
implication might be that it is more important to reduce ETS
exposure in children whose mothers smoke during pregnancy
than for those whose mothers did not."
Section 7.7. "The studies on ETS and risk of
sudden infant death are remarkably consistent in showing an
increased risk, even though patients were studied in
different areas in the U.S. and in different countries around
the world. The association between ETS and SIDS persists
after controlling for a variety of potential confounders,
including low birth weight. While it is true that the
relative risks of prenatal and postnatal cigarette smoke
exposure cannot be distinguished and, therefore, the
causative link between ETS and SIDS cannot be established, it
would seem prudent in view of the substantial risk and the
large total number of,lives at risk, and other studies
indicating that ETS may impair pulmonary function, to
conclude that ETS exposure should be reduced in infants as a
way to reduce the incidence of SIDS. .
"A causal relationship between ETS exposure and
reduced air flow in childhood seems well justified. In
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support of the idea that there are susceptible populations,
the study at Rubin in 1990 found that in children with cystic
fibrosis there was a significant correlation between the
number of cigarettes smoked in the home per day and peak
expiratory flow rate."
Section 7.8. "As noted, the data on ETS and
pulmonary health in adults is quite variable from study to
study, and is potentially confounded by exposure to other
respiratory irritants that are linked to socioeconomic class
and/or to a greater tolerance of ETS-exposed individuals to
other noxious airborne chemicals.
"Not mentioned in the discussion of potential
confounders is the issue of parental or childhood exposure
which could influence pulmonary function in adulthood. It is
likely that children whose parents smoked, even if they did
not become smokers themselves, are more likely to marry a
smoker compared to children whose parents did not smoke.
.h ~2rG
Also relevant to the issue is the study of ,Zantric
indicating that a substantial fraction of lifelong
environmental ETS exposure occurs during childhood and
adolescence."
Are there any comments on this or any other issue?
Kathy?
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DR. HAMMOND: Not on that, but on the chapter.
DR. LIPPMANN: Is it on this issue, Kathy?
DR. HAMMOND: This is a small stylistic point. I
found it very difficult dealing with the new term "true
never-smokers." There are quite a few new terms introduced
in this chapter. And "true never-smokers" is defined
?-yl q F'VS
differently on page C4 and 7-4,5. In one case -- and I
originally thought I -- I know how difficult it is to deal
with multiple authors, but the work does need some editing,
going through and -- there are very difficult concepts in
terms of how much exposure people have and don't have,
passive and active. I don't know. Is "true never-smokers"
supposed to include people who have childhood exposure but
are married to nonsmokers?
DR. WESOLOWSKI: It just means never-lying never-
smokers.
DR. HAMMOND: Never what?
DR. WESOLOW$KI: Never-lying never-smokers.
(Laughter.)
DR. HAMMOND: That was my first thought as to what
it meant, exactly. That's exactly what I thought. And that
is the, you are married to a nonsmoker and you don't smoke.
And then it's that you've never lived with a smoker. And
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those are all different meanings. And it is difficult
because there were all these different possibilities out
there. So I don't have a solution as to how you define
something for that..
Similarly, "ever-passive smokers" has some
ambiguity to it. So they are minor but they are confusing.
DR. STOLWIJK: As opposed to a never-passive
smoker.
(Laughter.)
DR. HANIIMOND: I wasn't sure if it was only those
nonsmokers married to smokers, but not nonsmokers who are
otherwise exposed.
DR. STOLWIJK: And there's the ex-passive smokers.
DR. LIPPMANN: John.
DR. SAMET: I think this has come a long way, and I
think there are two things that could help the reader. One
may be a more specific introductory discussion of the issue
of confounding in loo)cing at these respiratory health
outcomes. I think it's possible to develop lengthy factors
that might be of concern. But clearly in a biological model
of how these factors act, some of them are potential
confounders of concern and some are simply correlates of
passive smoking exposure and not confounders in the sense
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I-132
that we've been trying to deal with.
And I think to deal with that up front and orient
the reader towards what these factors are and how they may be
important and why it may or may not be important to control
for SES, which in fact may not be necessarily appropriate in
looking at the effects of environmental tobacco smoke. So I
think some help there.
The other thing that might help is some discussion
of the very difficult issue of looking at respiratory tract
infection in this age range. Throughout the studies that are
cited, there are in fact a variety of outcome measures that
are used that have variable relationships amongst themselves.
There's physician visits, there's parent reports.
And another thing, in some introduction for the
reader, the fact that these different studies are looking at
the same phenomenon but using different approaches. There
are different factors that may be important in determining
the degree of misclas$ification associated with those outcome
measures -- would be useful.
And the third minor comment, but one I'd like to
see addressed because it comes back in the introduction, is
there is a sentence or two on dosimetry issues that is left
unreferenced. I, for one, would like to see some references
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for this first sentence at the top of page 7-3 where there is
some discussion about likely differences in particle
deposition and gas absorption in the circumstances of active
smoking and passive inhalation of ETS. And I think that
probably needs to be at least looked at or referenced.
DR. LIPPMANN: I wonder if you might benefit from a
visual -- if you made a matrix diagram with the names you've
used -- ever-smoker, passive smoker, et cetera -- and all the
possible routes of exposure -- spousal, at work, childhood,
et cetera, with checks for us. And somebody would say, well,
what do you mean by that term? You could go back to this --
it means precisely that. It either had -- or a question
mark.
In other words, a check if you know that a certain
kind of exposure is included in that term, a question mark if
it's impossible to determine, and so forth. It might be a
road map through this jungle that we're dealing with.
Jerry?
DR. WESOLOWSKI: Just a comment along those lines.
In reading this chapter I came across a number of terms you
normally don't come across, like otitis media with effusion
and tympanograms. They aren't defined. There are other
places in the report, like where you talk about atopic or
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things like that, where you've given a nice definition.
Since this report will be read by more than just
medical people, I think when you introduce a medical term or
an illness, you should define it the first time, or,
alternately, have a little glossary so that nonmedical people
can look it up.
DR. LEBOWITZ: I forgot to mention one other review
and study, both that I thought you should include. I mention
that you should consider more the CDC evaluation of SIDS.
NN~S
The CDC, through has also evaluated children's exposure
to ETS before and after birth by a variety of
characteristics, and they've also discussed the impacts that
these different exposures may have and so forth. I've
included that in the packet to the panel. I'll also include
that in the pack to you.
But I think it's sort of a general statement when
other recognized federal agencies who are NAS and NRC,
because of requests by federal agencies, have done these
reviews, then they should all be utilized to the extent
possible.
PARTICIPANT: Was that a --
DR. LEBOWITZ: It's Advanced June 1991. And it
does go into some of the points and some of the references
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backing up the points that Dr. Weiss made about the
importance of in utero exposure. I'd like to second
everything he said.
DR. LIPPMANN: It's mislabeled. Dr. Woods also had
comments on this chapter. I'm trying to extract things that
would be most useful to this discussion.
"In some of the studies previously reported by NRC
and the Surgeon General and in some of the 26 subsequent
studies evaluated in this report, the proximal relationship
between the child and the source was reported, but this may
be an under-evaluated factor in determining the magnitude of
the ETS exposure and the relative risk to the children.
"It would be helpful if an explicit definition of
ETS was provided in this report. One was provided in the
policy guide which we reviewed last time, along with the risk
document," but Dr. Woods said he could not find such
definition in the risk assessment report per se.
I'm just reading what Jim said. He could not find
it; that's what he said.
Any other discussion on this chapter? Paul?
DR. LIOY: I've looked at this for the first time
and I find a lot of the information quite interesting.
However, at the end of it, maybe it's because I haven't been
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as close to it as everyone else, I feel sort of let down
because I'm given all the different aspects of non-cancer
respiratory diseases and I'm not,left with a feeling of which
one I should be focusing on first.
On the compelling arguments I think that Mike
Lebowitz made about the exacerbation of asthma, to me I think
are very crucial in terms of dealing with Chapter 8. And I
don't get that feeling of comfort when I come to the end of
this because each section just summarizes information, and it
doesn't give me a capsule view at the end or a perspective so
that it leads me into Chapter 8 as to what I should be
looking for.
I think a good dichotomy here is SIDS versus
exacerbation of asthma. I should be looking more toward a
detailed analysis of asthma and less emphasis on SIDS because
maybe -- and more recommendations about SIDS research, rather
than looking for equivalency between what the calculations
will be between exacerbation of asthma and SIDS incidents. I
think that is necessary to couch things so that in Chapter 8
I'm able to deal with things more clearly.
I don't know if I'm the only one who has that
problem, but I think that it would put things, again, in the
light that a person who would want to read this can
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understand the relationship because I'd hate to see somebody
lose their guard on SIDS, because they assumed that they
stopped smoking in the house that SIDS may not occur again.
I think there are a lot of other things that we
don't know about SIDS. I really want to make sure that we're
vigilant in how we, you know, weight these particular factors
in this discussion because there are some very crucial issues
here.
Secondly, I guess -- and maybe this is something
that's kind of inherent in the problem or the system -- is I
really don't like the title of the chapter saying Respiratory
Disorders other than Asthma -- I don't think that -- I mean,
other than cancer. I don't think that asthma and chronic
obstructive lung disease should be put in a secondary role or
a nonequivalent role.
I think we should ask our pulmonologist for maybe a
better definition for use in the title of this chapter
because I really don't think, again, it provides a weighting
factor -- it puts a weighting factor here where I don't think
one should put a weighting factor.
Again, I would go back to the argument that Dr.
Lebowitz brought up, that there is a significant financial
burden on our health care system each year, even though we
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can't discuss it in this document, in terms of a child's
admission, or at least visit, to a doctor for asthmatics
attacks. And so I think clearly we have to be very careful
in how we weight different arguments.
DR. BAYARD: I'm sorry. I'm just not clear on what
you really think we should be focusing on here in terms of
the more important effects. I can see where --
DR. LIOY: Not necessarily important. Information,
too. I mean, with SIDS we don't have a significant database,
as much as we might have for exacerbation of asthmatic
attacks. There's going to be a certain amount of weight of
evidence in terms of those things that you can prove
conclusively versus those that are inconclusive and those
which may be in between.
DR. BAYARD: We do deal with that in the summary of
conclusions. Now, maybe you think that a summary section at
the end of chapter 7 is warranted.
DR. LIOY: Yes. I think that we have to -- that's
the point, to consolidate.
DR. BAYARD: In terms of which evidence is more
compelling for which to do than others.
DR. LIOY: Uh-huh. Yes. Because that leads to
Chapter 8 where you start doing the calculations, and
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obviously there's a strong -- there's a significant section
in there on calculation of asthmatic attacks, et cetera, et
cetera.
DR. BAYARD: Okay.
DR. SAMET: One approach that might help would be
to simply separate the material on children from that on
adults. The patterns of exposure are different, the patterns
of finding are different. And if you had a chapter that was
on exposure during childhood to ETS and its effects, and in
there there was a strong summary that might address Paul's
concern, because I think -- I agree, by the time you read
through the material and then you read the section on adults
and then it lacks a sort of a focusing summary, it might be
better as two separate chapters in fact. That's one
approach.
DR. LIPPMANN: Essentially we have that. I think
it may be one of just labeling and organization. When you
discuss adults, you're essentially discussing the data on
spousal smoking. And you make the exclusion that you decided
not to address cardiovascular effects for these reasons.
We're not disputing that you have good reason not
to. We're just saying that if you -- I think following up on
what Paul's saying, you could talk about the effects of ETS
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on adults, which essentially is your discussion of spousal
cancer and the things that you're not discussing, such as
cardiovascular.
Then you get to the next chapter, which would be
the effects of ETS on children, and you say that we 2lave no
~/A ner"C`7
strong evidence for cancer, except possibly in the eaneric
study being related to prenatal or for infant exposure. Just
put that up forward, and we can't do anything with it, and
that's one of the things we're putting aside, as we put
cardiovascular aside in adults. And then you're into other
effects.
So rather, I think, in terms of the way the
chapters are titled -- one being cancer, one being other
things -- it could just as well be one being adults and the
other being children. Then, to the extent that it's a
problem -- and I didn't myself think it was a problem, but to
the extent that it's a problem -- that cancer gets prominence
just because other things don't have the same scare value,
you avoid putting it into that context.
So it's worth considering, the effects of ETS on
adults, which ends up being a cancer chapter, and the effects
of ETS on children, which ends up not being a cancer chapter.
Right?
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DR. LEBOWITZ: Yes. I think that would help
separate -- whatever organization that separates, it and
allows one to draw conclusions that would help. I think that
also if you were to separate adults a little more, you could
discuss some of what I mentioned about the impact in terms of
disability.
One of the questions that I was reminded of that I
had -- reminded by Dr. Lippmann -- in the issue of scare
effects, was also the psycho-social impact of some of these
factors on the kids themselves and on the parents, and there
was no attempt to have a psychological impact discussion
within this in which ETS would play a strong part.
In other words, having just reviewed the
psychological impact of asthma, of hospitalization for LRIs
and so forth in children, I would come to the conclusion that
in fact for those families that experience it, the scare
phenomena is extreme, or can be extreme, for the kids who
experience certain of,these phenomena. The scare is really
extreme.
There is a lot of psychological sequelae to this as
well. Again, not that you should have everything in the
world in the chapter, but at least a small paragraph or
something somewhere within the discussions of asthma or SIDS,
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LRIs, et cetera, with appropriate references might be very
important for the public to get a feeling for what these
diseases mean. Otherwise, I have the impression from talking
a lot to the public about things like asthma, they don't know
what the hell I'm talking about, and what the disease means
and what kind of impact it has and so forth. Until I started
using some of the information gathered on psychological
impact, they had no sense of what these things meant.to them.
The cancer, they may have a better sense of.
DR. BAYARD: Do you think we should have an
introductory paragraph about what that disorder is or how
it's defined?
DR. LEBOWITZ: Yes, or somewhere, even toward the
end before the summary of each of each chapter, or something
a paragraph'on that.
Now again, I don't know that that was in your
original charge and whether that's appropriate or not. But,
in thinking about it,,it would make much more sense to the
public if they were aware of that aspect of it as well.
NNL Jv.l
There is readily available information on that through ~,
or NIH, and so forth, that would help to put that in and to
give it a broader perspective.
DR. STOLWIJK: I had a question on the whole
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discussion of SIDS that is present in the report. The
discussion starts out by saying that neither the Surgeon
General's report nor the NRC report addressed this. Then it
describes some of the literature and some of the statements
that have occurred around it.
The final couple of lines in that three or four
pages indicate that the cause of SIDS is still unknown and
that it is not possible to assess the biological
plausibility, and consequently at this time the report is
unable to assert whether or not passive smoking is a risk
factor for SIDS.
And even that discussion gets propagated into
summary and one begins to wonder what all of it is really
doing here because it's also causing Paul some uncertainty as
to what it all'does and what it means even with respect to
other things. And I wonder whether SIDS is being dragged in
by the hair a little bit, and then dropped.
DR. BAYARD:. I don't think so. The record for
maternal smoking is pretty strong, so it seems reasonable to
see if there's a connection between ETS and SIDS.
DR. STOLWIJK: There are some things where there's
a dose-effect relationship between the risk for SIDS and the
amount of smoking that mothers do. That's essentially the
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1-144
evidence. But the biological plausibility for that is really
not immediately apparent.
DR. LIOY: I guess the problem I have is --
although we can't discuss Chapter 8 yet -- but it's in the
conclusion of 8-13 that really has me worried.
DR. STOLWIJK: Well, it propagates all the way
through the summary as well as into the population risk
assessment.
DR. LIOY: Right. Because you say that you don't
have evidence, and then all of a sudden it appears twice, and
it gets stronger as it goes through, and I think the
propagation -- it gets me worried at this particular point.
DR. BAYARD: I'm sorry. Be more specific.
DR. LIPPMANN: Why don't we come back to this in
discussing Chapter 8?
DR. LIOY: I'll come back. I'll leave it at this
point, but in Chapter 8 it's the fourth paragraph.
DR. LIPPMAN$: When we come back to it, and in
discussing Chapter 8, let's be more explicit. And we'll
leave it at that.
DR. LIOY: But the thread of Jan's argument I think
is logical, and I think you should consider it at this point,
because you're making some jumps in logic that I don't think
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you have enough weight of evidence to support.
DR. LIPPMANN: We don't have to start discussing
this chapter now just because we end this phase of the --
DR. STOLWIJK: I was just asking a question.
DR. LIPPMANN: Okay. Do you want to do this about
dinner?
DR. FLAAK: Let me do an administrative thing here
with the Committee members, check and see how many would like
to go out to dinner together this evening. So I can just get
a head count and make a reservation. 7:30.
Okay, I have a count. Thank you.
DR. LIPPMANN: Okay. We'll take a break now until
three o'clock, and then we'll hear the public presentations.
(Recess.)
PUBLIC COMMENT PERIOD
DR. LIPPMANN: We have quite a few speakers. We
want to give everybody their chance to get their main points
across. We have arrapged them in order, I guess, in part to
relate to their projection needs.
The first speaker will be Dr. Paul Switzer on
behalf of the Tobacco Institute. If you want to use this
microphone, this is the only workable microphone we have.
Just a couple of quick comments for the speakers.
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We have some changes in the speaker schedule; it won't
reflect exactly what is in your agenda. We'll be calling the
speakers up as we've changed the list at the request of
several of the speakers.
I'll ask that speakers bring up a hard copy, if
they have, and give them to me. Just please give them to me
and I'll get them distributed. I'd like to ask the speakers
to try and keep their comments to under 15 minutes so we can
get everyone in this afternoon if possible. Thank you very
much.
PRESENTATION BY DR. PAUL SWITZER
TOBACCO INSTITUTE
DR. SWITZER: My e is Paul Switzer. I'm
~aql'~r
Professor of Statistics a University. I was asked
by the Tobacco Institute to
come here to make a presentation
to you. (Inaudible. PA system completely fades out.)
There were several specific questions, and I trust
that the Board will a¢dress those questions in a serious
manner. My comments are geared to several of those
questions, in particular with the material in Chapters 5 and
6 of the EPA draft report referring to lung cancer.
One question which the Committee was asked to
address is: Is the approach used to derive estimates of the
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U.S. female never-smoking risks scientifically defensible?
I want to make several comments about this. The 95
percent confidence interval estimate derived from the pooled
analysis of U.S. studies is 1.01 relative risk4 to 1.38.
These are for supposedly exposed populations.
And there are several problems here, even though
one would hesitate to make far-reaching public policy
decisions, even based on such small and uncertain estimates.
I believe the panel members, the chair, and vice-chair of the
panel earlier in their discussions of both Chapters 4 and 5
indicated that without the epidemiology there would be no
basis for the action taken, the classification of ETS as a
Class A carcinogen. So it's to that point that I'm speaking.
First of all, there's a wide variety of selection
effects which tend to bias reported studies in an upward
direction. These include the natural tendency of authors to
report in published studies of positive results, to advance
publication of uncompleted studies when results appear
deA
positive, as in the Fontham study, or, conversely, t
publication, as in the second ACS study.
There is also a tendency to make selective
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varia adjustments, a tendency to make selective
he 1
23 1 comparisons, similar selection effects that tend to originate
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with authors, and as I said, additional examples. For
example, Fontham's study, on which heavy reliance is placed,
dNe v)OCQ/'ti'nO+W<S
emphasized the apparent significance for s
as opposed to all cancers and emphasizes exposure measured in
pack years. It's because of the selected emphasis and the
multitude of choices that investigators have in reporting
their studies that there are inevitably selection effects.
Now, all these effects can be directly measured;
but because we know they are present, it is for reasons such
as this that scientists are skeptical of small relative risk
numbers in general and why we should be seeking to not try to
identify relative risks in this range so close to one simply
because they are always (inaudible) selection effects.
Also, post-study corrections. The EPA draft report
makes various post-study corrections. Whenever such post-
study corrections are made, new sources of uncertainty are
introduced, which should be but were not recognized in the
uncertainty estimates: Examples of post-study corrections
which introduced additional uncertainty to relative risk
estimates which are not reflected, for example, in 1.01 to
1.38, are the misclassification adjustments that occur in
corrections.
In terms of the actual meta-analysis which was
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done, the variability between study populations was ignored.
The U.S. meta-analysis quoted in the draft makes no allowance
for variability between study populations. No allowance is
made for differences between characteristics of the U.S.
population female nonsmokers and those used in the
epidemiologic studies. In other words, the analysis is done
as though the individuals were randomly sampled from the U.S.
population. Instead of treating the individual studies in an
observational sense, as is appropriate for meta-analysis,
they were treated and analyzed as other random samples.
Allowance for the additional source of variability
would naturally and appropriately broaden the combined
confidence interval estimate. So the interval estimate I
gave you before, 1.01 to 1.38, does not include any
y on the variability or uncertainty with regard to
generalizations of the U.S. population.
I'd like to now point to the fact that there are
serious errors in the calculation of P-values for dose-
response. An important part of the argument hinges on the
consistency of dose-response relationship. As it is
repeatedly stated in the draft, the epidemiologic data showed
consistent results. This is not the case, especially not the
case when one looks at the statistical evidence for dose-
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response relationships in individual studies. This is a
serious conceptual error in the calculation of significance
probabilities, that these include the categories for
exposure.
According to this faulty logic, a single exposure
category would then suffice to establish a dose-response
relationship if you follow the methodology used in the
report. A striking example of this error are the reported
1-AM r
highly significant values for the LIMT study, Table 5.9. I
quote the -- that's at the bottom of that table, if you could
raise that a little bit. Could you raise the whole thing
quite a bit more? That's it.
KAzA
You will see there, for example, in both the QO
results, that if you remove the zero exposure category, there
is obviously not even a monotonic relationship, not to
mention a significant relationship. And yet the P-values are
reported as less than .01. So, this is just an example of
what is done and how # skews the results.
Next I come to another question posed to the
Committee, which I hope they will address here.
DR. LATIES: May I ask a question?
DR. SWITZER: Yes.
DR. LATIES: On the previous slide, why did you
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kAlo~-
remove the 1.0 value in the ~JW study?
DR. SWITZER: If you're trying to establish a dose-
response relationship, the normal way to do this would be to
look at several dose levels, and the actual level of dose
levels are actually just three, which are the ones below it.
In other words, if you following logic and include it, you
will only need one single exposure comparison in order to say
you have a dose-response relationship.
DR. LIPPMANN: The question is really why isn't the
zero a valid point on the dose-response relationship.
DR. SWITZER: It's not a valid -- well, it's valid
if you're trying to, say, do tests for trend, which they did,
which is not the same as a test for dose-response
relationship. As I point out, that's the difference between
establishing an effect versus establishing a dose-response
relationship.
If you're trying to salvage an effect, you only
need one -- you need pxposed and unexposed, that's
sufficient. Correct? But it's not sufficient for
establishing a dose-response relationship. To establish a
dose-response relationship, you need additional levels of
exposure.
DR. LATIES: But aren't those levels of zero, 1 to
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10, 11-20 --
DR. SWITZER: Well, yes. Those three are valid
categories. The point I'm making is that if you take a look
at the relative risks, they're not even going to one to --
DR. LIOY: Well, supposing we had 1 to 5, 6 to 10,
11 to 15, and so on. Would that satisfy the requirement for
getting a dose-response relationship, if they were re-sorted
--~
DR. SWITZER: As they are. I mean, as they are.
There are three categories here.
DR. LIOY: Well, make it four. Go 0 to 5, 5 to 10
-- 1 to 5, 5 to 10.
DR. LATIES: Why wouldn't the same objection obtain
for the other studies?
DR. SWITZER: As I say, if you're just looking for
an effect, it's sufficient to have exposed and unexposed.
But if you're looking for an increasing effect, at
increasingly higher dpse levels, you need more levels.
DR. LATIES: But one zero dose is not acceptable.
DR. SWITZER: Because it's not actually -- I mean,
you'll see there that a zero dose is put in at a risk of 1.0.
So in some sense it's not actually data.
LAr~ i
DR. LATIES: How does the IQM study differ from
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the KOO study?
L AM r DR. SWITZER: They don't. I only highlighted the
® study because it's an extreme version of this criticism.
Now I'd like to address another question posed to
the Committee which is the approach used to extrapolate risks
s~o Nsa ~ in speci-al studies, is it scientifically defensible? And so
this is an extrapolation question. And there are several
serious problems associated with the extrapolation of spousal
risk obtained from epidemiologic studies.
First is a quantification of the background risk.
The first problem involves this quantification issue. It's
based on cotinine ratio data for spousal exposure versus
background exposure. This ratio is highly inconsistent in
cross-studies. But the serious error is to assume that
cotinine levels are truly zero for the unexposed population.
This is an implicit assumption and it's used in a very strong
way to obtain the background risk. And this is despite
empirical data which appear to contradict this assumption.
If you'll offer even a modest non-zero value
consistent with the empirical evidence, will substantially
,
increase a eeping ratio and result in sharp reduced
background risk. And I give a little example at the bottom
of the slide. You might move that up, please.
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Whereas an apparent Z-ratio, which is the ratio
that's used in the calculation of background risk -- Z-ratio
of 6 over 2, which is 3, if you subtract out the non-ETS
cotinine in this little illustration, we'd come to find, it's
very easy to go from 3 to 05 with an adjustment for non-ETS
cotinine.
The second problem, extrapolation relative risk to
background exposure levels. An approach is used to
extrapolate not just, of course, exposure, but to
extrapolated relative risk as well. The claims that were
made earlier that the studies provide information and actual
exposure levels, has to be tempered somewhat in that they do
not provide direct evidence for lower relative risks and what
are called background exposure levels.
Those are calculated, and those account for more
than 70 percent of all the estimated lung cancer deaths. The
existence of a threshold -- again, sustained resistance of a
relative risk threshold, dose-response threshold -- could
again substantially reduce the cotinine background risk
because those assumptions strengthen all the down to zero.
Another question for the Committee is the degree of
confidence in the estimates of the population which is
appropriately characterized. 'So this is an important
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question: The degree of confidence, is it appropriately
characterized?
Now, let's take a look at the population risk
estimates. The draft concludes, on this page 6-2-3, that the
uncertainty range for the U.S. population ETS lung cancer
risk, when we get a lower estimate of 2,500, upper estimate
of 3,300 LCDs. So I think this is a very unrealistic
statement of uncertainty. '
This range cannot possibly convey all the
uncertainties that are present in the information from which
these calculations were made. And particularly you can do
this -- although phonics experiment -- because if the entire
U.S. population consisted only of spousally-exposed women,
namely the kinds of people you have in the epidemiologic
studies, comparable to the risk group in these studies, and
the uncertainty propagated from the pool of U.S. studies
would substantially exceed the reported uncertainty which I
said is plus or minus 400 lung cancer deaths.
Even using the underestimated uncertainty relative
risk, and I mention that -- even the epidemiologic
uncertainty has been underestimated, for the reasons I
mentioned earlier.
But in addition to that -- in addition to the
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propagation of the epidemiologic uncertainty -- there is
substantial additional uncertainties which are not reflected,
and which rate the appropriate statement of this range of
2,500, 3,300 LCDs very inappropriate. These include the
speculative background exposure calculation. The data
extrapolation of the possible dose-response function to
presume a background of levels, the extrapolation of
nonsmoking female spousal exposure risk calculations, groups,
for example, of former smokers.
If we account for all major sources of uncertainty,
we can easily include an estimate of zero for the population.
there's no question. And I don't think you'd get any
statistician to disagree. The fact that some sources of
uncertainty are difficult to assess does not imply that these
uncertainties are absent.
By the way, I mentioned at the bottom of that
transparency, just to put things in perspective, the EPA
reports, cites, four percent of all lung cancer deaths due to
ETS and 72 percent of those are due to so-called background
exposure, for which no direct epidemiological evidence is
available.
I should mention that in terms, again, of the
degree of confidence of standard methods of error propagation
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have not been used. In other words, they did not follow
standard procedures. And even though some of the components
of the error calculation may be difficult to establish, in
their calculation they just didn't even try.
Finally, my conclusions. Number one, to the
question, Is the female never-smoker risk scientifically
defensible? I put to you that it is no. Without proper
~n~cr
accounting for i-ntra-study variability in possible selection
and misclassification errors, confounding, or any of these,
the relative risk cannot be statistically distinguished from
1.0.
Two, the approach used to extrapolate risks in
spousal studies, is it defensible? The answer, again, no.
The approach does not recognize the assumptions and
uncertainties associated with the extrapolation, either with
respect exposure extrapolation or dose-response
extrapolation.
And third is, the degree of confidence in estimates,
population was appropriately characterized? Once again, the
answer to the question put to you is no. The range of lung
cancer deaths is not even recognized. The propagation of
epidemiologic uncertainty, not to mention greater uncertainty
associated with extrapolations, and by its finding a value of
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zero lung cancer deaths is not incompatible with our current
information. Thank you.
DR. LIPPMANN: Dr. Layard, I believe you are our
next speaker.
,
PRESENTATION BY DR. MAXWELL LAYARD
TOBACCO INSTITUTE
r>9,tx.rt1)
DR. LAYARD: My name is Mi-cha1 Layard. I'm an
independent consultant in statistics. I'm speaking in behalf
of the Tobacco Institute. The opinions I express are my own.
I would first like to address the question of
whether the ETS lung cancer epidemiologic studies support the
causal inference. I believe that they do not because the
reported associations are generally weak and inconsistent.
So the possibility that they are due to uncontrolled bias and
confounding cannot be ruled out. First slide.
Inconsistency is particularly evident when the
studies are grouped by a country, as the EPA report does on
Table 5-8 and as is s1}own in this graph. The data in the
graph are those used in Table 5-8, except that the U.S.
relative risk, when correctly calculated from the data in
Table 5-8, is 1.17 rather than 1.19, and is further reduced
vKYlcr.~y
to 1.15 after including the result from the Sarcerick study
for all respondents, rather than for self-respondents only.
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This change is necessary for consistency with the
data from other studies, including the Fontham study, in
which 34 percent of the case respondents were surrogates.
Another difference from the EPA report is that the
conference intervals in the graph are 95 percent intervals,
rather than 90 percent. The unexplained switch from the
revised EPA report to 90 percent intervals in one-sided
significance tests is not a justified departure from
generally accepted methods for assessing whether a reported
association is unlikely to be due to chance.
The heterogeneity test for the country-specific
results is highly significant, indicating that the
differences aren't due to chance. Unless an explanation for
the inconsistency can be found, the substantial differences
between the countries' specific results I view strongly
against a causal interpretation of the data.
Though the EPA report rightly focuses on U.S. data
in its assessment of V.S. risk, the U.S. relative risk of
J 44 t, r.'v-C dl:- cey,~(
1.15 is not statistically significant t
level, and so it does not provide a sound basis for an ETS
lung cancer risk assessment. Moreover, as Peter Lee and
others pointed out, the smoking status misclassification
adjustments made to the U.S. studies are too small in view of
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available data on this classification and concordance rates
for U.S. women. Reasonable assumptions about smoking in this
classification would result in a considerably smaller and
quite nonsignificant U.S. risk estimate.
Even if causal association is assumed, the
substantial uncertainty involved in the EPA report's
misclassification adjustment is not adequately reflected in
its estimates of ETS-attributable lung cancer deaths in the
U.S. In fact, even the sampling variability in the U.S.
relative risk estimate is not adequately considered in the
report's estimated range of attributable lung cancer deaths.
The U.S. relative risk is heavily weighted by the
Fontham study. Without that study, the full relative risk
would be 1.09, with 95 percent confidence interval, 0.9 to
1.29. The EPA'report devotes considerable attention to the
Fontham study, considering it to be of high quality, although
in many respects it does not appear to be better than other
studies. _
For example, the EPA report notes with approval
that cotinine testing would help identify cheaters among
self-reported never-smokers. But that testing was incomplete
in the study, and was largely useless for identifying ever-
smokers, particularly among lung cancer cases, some of whom
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may be recent or long-term quitters.
More importantly, the Fontham paper was an interim
report of an incomplete study, and the analysis presented did
not take into account potential confounders such as diet and
occupation, although data were collected on those variables.
In calculating the summary of relative risk for
China, the EPA report used a crude relative risk of 0.78 for
the Wu Williams study. Although the relative risk adjusted
for age, education, and study area was reported to be 0.7,
s4a,4io1
the adjusted relative risk n have been used since it
was the stated policy of the report to use adjusted results
where available. Doing so reduces the summary relative risk
for China from 0.82, which, of course, increases the
inconsistency among the country's specific relative risks.
Next'slide. In its commentary on the Wu Williams
study, the EPA report dismissed the negative ETS result as
inconclusive primarily on the grounds that the presence of
indoor pollutants frozq cooking and heating sources might have
obscured the effects of ETS. However, that is not a credible
explanation for the negative ETS lung cancer association.
There is no indication in the study report that ETS exposure
was negatively correlated with the pollution risk factors,
and ETS was still negatively associated with lung cancer when
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it was considered simultaneously with pollution sources in
the logistic reversal analysis.
This means that cooking and heating pollution was
not a statistical confounder for ETS. For pollution to have
completely obscured the ETS effect, it would be necessary for
it to have biologically protected against such an effect,
which is quite implausible.
On the assumption of an additive model for the
joint effect of two agents, the apparent relative risk of
each agent would tend to be reduced, but not eliminated, by
the presence of the other agent. However, in this study,
such an attenuation would be small because the reported
pollution relative risks were generally on the order of only
1.5, and not all subjects were exposed to the pollution risk
factors.
This question could be investigated by examining
the association between ETS and lung cancer in the subgroup
that was not exposed to the pollution risk factors. In just
the same way that most ETS lung cancer studies have confined
their attention to never-smokers, since no ETS pollution
interaction was reported, it is clear that there was no ETS
lung cancer risk elevation in the subgroup.
The EPA report's vague speculation that ETS effects
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were obscured by cooking and heating pollution is unfounded.
The only explanation the EPA report offers for the
inconsistency in the country-specific relative risks is that
the ETS exposure from spousal smoking may be a higher
proportion of total ETS exposure in some countries than
others. This remark relates to the question of adjustment
or
for background where non-spousal ETS exposure. The EPA
report estimates the U.S. background exposure ratio of 1.75
using unpublished U.S. cotinine data from three studies.
Applying that ratio increases the U.S. summary of relative
risk from 1.15 to 1.44.
There is little available information concerning
background ratios in other countries, but the published
SAn c. .
d
results of the t_.-R). 10-Country Cotinine Study doas~suggest
the foreign cotinine-based background ratios are much more
than 3. A ratio of 3 increases the summary relative risks to
4.06 for Greece, 1.95 for Hong Kong, and 1.8 for Japan. The
difference between thg U.S. and foreign relative risks isn't
decreased by these background adjustments, so differences in
background ratios do not explain the geographic inconsistency
in report of the ETS lung cancer associations.
A more likely explanation is that the report of
associations are the product of uncontrolled bias and
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confounding linked with spousal smoking status and operating
in varying degrees in different countries. Work place ETS
lung cancer results, which aren't discussed in the EPA
report, support this conclusion.
The summary relative risk from 11 workplace studies
is 1.01. Applying a background adjustment with a
workplace/non-workplace ETS exposure ratio of 1.35 derived
~RC
from the I-rR. 10-Countries Study, gives nonsignificant
relative risk estimates of 1.04 for ETS exposure for at work
adults versus no exposure, and 1.03 for exposure other than
at work versus no exposure.
This implies that risk elevations in spousal
smoking studies are the result of bias and confounding
arising from living with a smoker. Smoking status
misclassification is one example of such a bias.
The background adjustment, as applied in the EPA
report and elsewhere, depends on the assumption that the
relative ETS dose between subjects who are spousally exposed
and those who are not can be estimated accurately from
cotinine concentrations in body fluids.
There are several reasons for doubting that
cotinine based background ratios provide an unbiased estimate
of relative ETS dose. One reason is that analytical methods
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for determining low level cotinine concentrations are not
reliable. Another is that nicotine intake can occur from
sources other than ETS, including dietary sources and off-
gassing from nicotine absorbed on the surfaces.
Several studies, including the Cummings study in
the U.S. and the 3-R. 10-Country Study, have reported
cotinine concentrations in nonsmokers married to nonsmokers
that are close to those of nonsmokers reporting no ETS
exposure. This suggests that the measured cotinine
concentrations in nonsmokers married to nonsmokers are
largely due to factors other than ETS exposure.
Background t)j ETS exposure ratios derived from
measurements made with personal nicotine monitors are much
higher than those derived from the same studies from cotinine
measurements, again suggesting that cotinine measurements
overestimate background exposure. The implication is that
cotinine based background ratios are too small and background
adjustments based on them are excessive.
The background adjustment applies a powerful lever
to the EPA report's risk assessment, since 72 percent of the
estimated 3,060 annual lung cancer deaths are attributed to
nonspousal ETS exposure.
Since a causal interpretation is not supported by
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the epidemiology, a background adjustment which presupposes
causality is not appropriate. The EPA report, of course,
does assume causality, but although the estimated population
impact is highly sensitive to the value assumed for the
background ratio, as indicated in this graph, the report's
risk assessment does not adequately reflect the uncertainty
involved in that assumption.
Other uncertainties in the EPA report's risk
assessment concern the extrapolation of risks estimated from
female never-smoker data to males and ex-smokers. These
population groups account for 51 percent of the estimated ETS
attributable lung cancer deaths.
In the case of males, the report rejects its own
misclassification method because it eliminates the
associations reported in the U.S. male studies, and instead
simply assumes that the estimated female never-smoker risks
apply also to the male never-smokers.
In the case,of ex-smokers, for whom no studies
report an association between ETS exposure and lung cancer,
the EPA report arbitrarily assumes that risks are the same as
those for female never-smokers. Neither of these
extrapolations is scientifically defensible.
To summarize, the U.S. summary relative risk of
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1-167
1.15 is not statistically significant and was not adequately
adjusted for smoker misclassification. It cannot provide a
sound basis for risk assessment. Secondly, the geographic
inconsistency in reported ETS lung cancer associations is not
explained by differing background ETS ratios.
Thirdly, a more likely explanation for
inconsistency is that reported spousal smoking associations
are due to uncontrolled bias and confounding arising from
having a smoking spouse and varying between countries. This
conclusion is supported by the negative ETS workplace
epidemiology.
Fourthly, the ETS lung cancer epidemiologic studies
do not support causal interpretation. Therefore, a
background adjustment which presupposes a causal relationship
is not justified.
Lastly, even if a causal association is assumed,
the EPA report's treatment of uncertainty is quite inadequate
with respect to the s4mpling variability of the epidemiologic
results used and with respect to the many assumptions
involved in the risk assessment, particularly in
misclassification and background adjustments.
Thank you.
DR. LIPPMANN: Dr. Lee, I believe you're next.
(A
~-A
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PRESENTATION OF DR. PETER LEE,
TOBACCO INSTITUTE
DR. LEE: My name is Peter Lee. I'm a statistical
consultant working in England. I've been involved in ETS and
lung cancer over the last 10 years quite heavily. The
opinions I'll give today will be my own. I'd like to
concentrate on lung cancer in the EPA report.
As you know, the EPA's main conclusions were as
summarized on the first and second slides. I won't read them
out. Next slide, please. Oh, all right, sorry, I'll do it.
That's the second main conclusion. These are the
EPA's preliminary findings taken from their report.
Some three months or so ago I published a book,
Environmental Tobacco Smoke and Mortality, which has an
extensive discussion of the evidence in lung cancer. And my
conclusion from the evidence was that, considered in its
entirety, the evidence did not convincingly demonstrate
exposure through ETS increases risk of lung cancer among
nonsmokers.
I'd like to highlight some reasons why I believe I
think the EPA have come to the wrong conclusion, and why my
conclusion is more appropriate. I'd like to concentrate on
the epidemiological evidence, but first I wish to comment
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very briefly on the arguments put forward in EPA's Chapter 4.
This was in fact made by Dr. Lippmann, really,
today, that the evidence in Chapter 4 is not -- it merely
provides some plausibility and evidence generating a
hypothesis to be tested. It doesn't of itself prove cause
and effect.
ETS and mainstream smoke aren't the same as
exposure to many chemicals. It's very much lower from ETS
than from mainstream smoke. And active smoking doesn't
demonstrate -- the fact that you can't see a threshold for
active smoking doesn't demonstrate that it doesn't exist for
much lower dose levels.
In any case, just to add to that point -- I mean
you could have made that argument 15 years ago and the
scientific world didn't really react until (inaudible)
published their epidemiological data. The epidemiology is
really the key to the whole issue.
In my evaluation of the epidemiology, in Chapters 5
and 6, there were four major types of weakness I found. One
was failure to characterize uncertainties. The second was
underemphasis or ignoring of data that didn't fit in with the
hypothesis that ETS caused lung cancer. The third was
overemphasis of data that did seem to fit. And the fourth
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1-170
was underestimation of the possibilities of bias.
So if we consider failures to characterize
uncertainties first, in the first draft of the EPA report a
major criticism of it was that the uncertainties weren't
characterized. You can illustrate this. I mean, this is so
sharply illustrated by the second conclusion -- and this has
already been pointed out by the previous speakers -- where
it's stated there's a range of 2,500 to 3,300 lung cancer
deaths and the confidence in this range is medium to high.
Now the man in the street, even the statistician,
would read this as being a confidence limit. And this in no
way resembles a confidence limit.
What it is, the 2,500 and 3,300 -- if you actually
look at the details of the report -- are merely two point
estimates based on one study, Fontham, varying one parameter.
This cotinine-based background correction factor zed. It
takes into account no element of a sampling variation for
which the Fontham stuoy, even the 90 percent limits, and I
agree with Layard that I would prefer 95 percent limits
following precedent. The lower limit is very close to 1, so
the lower limit of deaths must be about zero.
And then one has the -- there's enormous sources of
variation -- they are ignored. I mean, the whole estimation
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procedure is a slew of assumptions and parameter estimates,
and no attempt is made in the report to show how the results
depend on these assumptions.
Now turning to the underemphasis of data that don't
fit and overemphasis of data that do fit. Let's just think
of how this estimate of 3,000 deaths is made up. There is an
element of 470 deaths attributed to spousal exposure among
women who never smoked. And this is totally what comes from
the epidemiology. This one cell is then extrapolated to
seven additional cells where one extrapolates from women to
men, from never-smokers to former smokers, from spousal
exposure to non-spousal exposure.
If one actually looks, is this justified? The
answer to this is clearly no. If you look at the male data,
it doesn't show any evidence of an increase, according to the
EPA's own analysis, yet one ignores the fact the male data
show nothing. One extrapolates the female data, and assumes
it's the -- the male Is the same as the female. There is
admittedly very little evidence on former smokers. Such as
there is from the ~/A rela/`/an e r i ~
~ study shows no evidence of
an increase. I mean, they say ones -- really, the numbers
for former smokers are just really plucked out of the air.
They don't bear any resemblance to science.
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And then this extrapolation from spousal exposure
to non-spousal exposure is extremely weak. I mean, there's
~10r~c )tLCQ Anp~
extensive data on w~rat~g3aee-in childhood exposure now. And
it shows no evidence of an increase at all for workplace
exposure. There's 14 estimates I've got which give you a
relative risk of 1.02, which is nowhere near significant for
childhood exposure. There's 12 estimates which give you a
relative risk meta-analyzed to .94, which is nowhere near
significant.
So, one is in a position where one is saying, well,
we've got lots of data that doesn't show anything. Let's
ignore that, choose the data which does, and inflate that up
to make the numbers as big as we can. I mean, that's really
what seems to have happened, to me.
I mean, the report doesn't even mention the data on
workplace and childhood exposure. How anyone is supposed to
actually come up with an interpretation of the evidence
without even being told this vital fact seems beyond belief
to me.
Some other major things that are in the report.
One isn't told that particulate matter retention is very low
for ETS, sort of three or four orders of magnitude less than
for mainstream smoke. I'm not sure why this is kept secret
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in the report when it could be argued that it's a very
relevant index of exposure.
There is nothing in the report about the
inconsistency of the evidence on histological type. One
knows in active smokers there's a strong association with
squamous cancer and only a relatively weak association with
p
a carcinoma, and you would expect the same in ETS.
You don't see it. You see that some studies show
relationship with squamous, some without, and some with
neither. And this, again, is important for evaluating the
evidence.
Perhaps a less important point is that the zed
factors in the background exposure correction -- there's no
discussion at all of the problem of misclassification of
active smoking in them. One takes the mean cotinine level in
people married to smokers, and the mean cotinine level in
people married to nonsmokers in many of the papers without
any adjustment for mieclassification. You only need one or
two smokers in there with enormous cotinine levels, and your
zed factor has become enormously unreliable.
DR. LIPPMANN: Could you clarify the basis for your
first statement?
DR. LEE: The first statement? What particular?
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What, the basis? It is very low. I mean, it's quite --
DR. LIPPMANN: Not just because you say so, but
what evidence have you got?
DR. LEE: It's in my book. It's in my --
there's --
DR. LIPPMANN: Can you recall what it is?
DR. LEE: Can I recall what factor it is?
DR. LIPPMANN: What is the evidence?
DR. LEE: There's published papers from -- oh, I'm
not very good at remembering papers, but there's messes of
material on this. I mean, there's studies done t Harwell.
~rtin of~
There's studies done -- there's stuff cited by 4ran u and
Sterling, which is cited in the EPA report.
retention of particulate matter as a factor
There's
DR. LIPPMANN: You're talking about percentage
16 retention. When you say 3 or 4 orders of magnitude --
17 DR. LEE: I'm not saying retention is 3 or 4 -- the
18 retention factor is about 8 or 10 times less. It's about 80
19 or 90 percent retained from acting smoking and about 10
20 percent from passive smoking. When you then multiply that
21 with the actual amount of exposure, that's what I'm --
22 perhaps you misunderstood.
23
DR. DAISEY: Is that based on experimental L,
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determinations of retention?
DR. LEE: The relative retention, as I
understand --
DR. DAISEY: No. For ETS, not for mainstream -- or
modeling, experiment modeling.
DR. LEE: It's not my area of expertise, but I
understand the data to be fairly solid, that retention is
lower -- low from ETS. Dr. Lippmann would know more about it
than I would.
It's not mentioned in the report -- getting on to
my fourth point -- that various sources of bias can cause an
artificial trend. I mean, there's a sort of assumption that
if you can find the trend, it must indicate cause and effect.
There's evidence that the heavier the smoker, the more likely
they are to be'married to a smoker, which increases
misclassification bias. There's evidence that the heavier
the smoker the more likely they are to be exposed to other
risk factors, which i0creases the bias from confounding.
This deserved mention in the report.
DR. LIOY: Could you give me a citation of where
they actually misclassified active smoking in their Z-
factors?
23 1 DR. LEE: All I know is that --
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DR. LIOY: I'm asking you a question. You cite
that they are biased. Could you give me a citation of where
EPA did that? I would like to know where that is so that I
can review it and determine what they did.
DR. LEE: As I understand, there are a number of
sources of zed-factor estimates given in the EPA reports.
DR. LIOY: I understand that, but where --
DR. LEE: For nearly all of them, as I understand
it, there is no mention of removing -- they nearly all talk
about mean cotinine levels in people married to smokers, and
mean cotinine levels in people married to nonsmokers, and the
ratio of these is the zed-factor.
DR. LIOY: I understand what the zed factor is.
I'm asking you where do you show the misclassification
occurred?
DR. LEE: I mean, one knows misclassification does
occur.
DR. LIOY: We can argue that all day. I mean,
there are notations of misclassification that can be ascribed
to even in epidemiologic studies done in the workplace. But
do you have evidence?
DR. LEE: Well, the zed factors. What do you
disagree with? I'm not clear. I mean, it's apparent that if
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you have a scattering of smokers' cotinines making up part of
your mean, of your two groups, you're going to --
DR. LIOY: That's a hypothesis.
DR. LEE: Well, one knows. There's abundant
evidence. I've written a book on the subject, that people
misclassify smoking.
DR. LIOY: I'm asking you in this particular
instance.
DR. LEE: Why in this particular instance -- I
don't understand what difference is the instance between
measuring cotinine studies in order to determine a zed factor
and measuring cotinine in studies in order to determine a
misclassification rate.
DR. LIOY: Well, I'm looking at it in terms of the
document itself, and would like to know where there are
biases and I'd like to be able to review it.
DR. LEE: That's all right. Well, let me say, the
section on --
DR. LIOY: Or are you just giving me a general
overall argument that we have to consider?
DR. LEE: I'm giving you a general statement which
I would think that, given one knows there are
misclassifications, that --
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DR. LIOY: All right. I understand what you're
saying now.
DR. LEE: Sorry.
DR. WESOLOWSKI: But you would have made that
statement regardless of whether you had read the EPA document
or not?
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DR. LEE: Yes. I mean, I did in fact read the EPA
document. But it didn't mention --
DR. WESOLOWSKI: I just wanted clarification.
DR. LIOY: There's no real information.
DR. LEE: That's right. It's true, I mean, it's
self-evident, given that there is misclassification of active
smoking, so that usually means it's dangerous.
The last one is the question of publication bias,
and it's rather -- I found it surprising in the report that
they didn't even mention the possibility whatsoever. I mean,
I thought any paper, report, doing meta-analysis would
consider publication bias, but this was unusual that it
didn't.
So if one now goes on to the final general point,
major potential sources of bias -- well, the question of
publication bias -- in my book I actually demonstrate some
evidence which suggests it may exist to a small extent. I
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think there is some indication in the analysis in my book
that there's a tendency not to publish small negative
studies. I'm not saying this is a major source of bias. It
perhaps shouldn't be under major sources of bias; it's a
source of bias.
The question of specific study weaknesses. I mean,
it's an interesting one. It was much discussed by the SAB
committee and there's quite a lot of attempt in the report to
mark studies as having or not having specific weaknesses.
But there's no attempt to quantify how those weaknesses
relate to relative risk.
In my book you'll find an analysis, where I took
what I thought was the most likely source of bias from study
weaknesses where this is failure to compare like with like,
akd
where cases ~ controls differed on vital status, place of
interview, next of kin, respondents -- this sort of thing,
where you weren't clearly looking at the same thing.
The studies,which I observed, the studies which
were weaker in this respect, had a very much higher relative
risk than the studies which were stronger in this respect.
My analysis came up with 1.74 for what I classified as poor
studies, and 1.17 for ones classified as better studies. So
I think it will be interesting to extend this work and look
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at how specific study weaknesses do affect the actual
relative risk estimate.
Going on to confounding, there's a question of --
EPA seemed to be seeking to explain the whole association in
terms of one confounding variable in their discussions, which
I don't think is right. I wouldn't claim that for any
confounding variable. I think they are of moderate
importance.
I would have thought they ought to have organized a
proper analysis of the Fontham studies since they lean so
heavily on it, and it hasn't been looked at for confounding.
And they don't. The report ignores massive external evidence
of occupation and all these family history of lung cancer,
diet, are lung cancer risk factors. I don't see why they
concentrate just on the spousal, on the lung cancer ETS
studies when there's a lot of evidence outside.
DR. SAMET: Peter, I hate to erode into your minute
and 46 seconds, but since the evidence is massive, I'd like
to ask you about, again, the issues of confounding and never-
smokers, which is the group that we are discussing now. I'm
just ~ aware of massive external evidence; that is,
evidence external to the studies at hand that describes, for
example, family history of lung cancer as risk factor. Here
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I'd like you to provide specific citations for literature on
never-smokers on this, details on --
DR. LEE: I think it's a peculiar hypothesis that
diet would affect lung cancer in smokers and not in never-
smokers. I think it would --
DR. SAMET: No. I asked you for family history of
lung cancer in never-smokers, the specific citation.
1
0
DR. LEE: I'm claiming that Q" cancer -- that I
don't think this is --
DR. SAMET: I'm not asking for a claim. I'm asking
for a reference to the massive external evidence.
DR. LEE: All I'm saying is that isn't relevant.
What you need -- I mean, why should effects of diet be
different in smokers than nonsmokers?
DR. SAMET: Peter, I'm sorry. It was your slide
that says there's massive external evidence.
DR. LEE: I don't say that for nonsmokers. I said
there's massive -- I think it's highly relevant evidence that
all these factors are risk factors for people, not -- people
are people. I mean, why do you want to restrict to never-
smokers? I mean, it seems a phenomenally unlikely hypothesis
that diet would affect smokers and not nonsmokers. It just
doesn't make sense to me. It seems like you're restricting
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the evidence -- it's just not sense.
DR. LIPPMANN: But confounding is not a global
phenomena. And I want a specific to the study and the
population at hand. Dr. Samet's question is still relevant
here.
DR. LEE: I mean, I'm not saying -- there's not
massive -- there's clearly not massive evidence that there
are risk factors for nonsmokers, no.
DR. LIPPMANN: I think we're interested in whether
there's any evidence, not even whether it's massive or not.
Is there any?
DR. LEE: Well, indirectly from biology and from
smoke -- from overall people. I mean, that's
pretty strong
evidence as far as I'm concerned. Can I just -- I've been
heavily -- I've got four or five quick slides on
misclassification. I'll skip this on confounding. There is
a report on this and some general conclusions on confounding
which you can see the;e. I won't read them out to you in my
report.
Can I have just two minutes on misclassification?
In fact, it's obscurely written but lots of people have said
-- let me just go on to the fact that Wells and Stewart find
they are biased, which is less than mine. Looking at this,
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there are various possible sources. The date assumes, which
is slightly different in some cases -- the methodology is
just clearly different, and the misclassification rates.
Looking at methodology, I list five things I think
are wrong with the Wells-Stewart method. That one assumes
I can't see any logic for assuming ETS exposure, not while
risk in former smokers has no effect for current smokers. It
just doesn't make any biological sense to me.
And the other, the next two or three points are
technical ones. The last point is the actual method of
correction, given the observed rates and the
misclassification rates, is mathematically wrong as far as I
can see. I was surprised when I checked this through. I've
got all the details in my submission. And there's a
difference in misclassification data, where the data I cite
from my book shows about twice the rate that Wells cites.
I've got rather more data. Admittedly, some of it
is non-U.S.; some of it is for males. But that isn't the
whole explanation. I think there are studies with more data.
I won't get into the question of why I have it; it was
admitted; it doesn't make much difference to the outset.
My final point on misclassification is I think one
should use a clearly defined method, which one hasn't done. .
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It's very obscure. You should use a mathematically correct
method, which I don't think it is. I think you should use a
simpler method. It's really rather difficult to see what's
going on with the very large number of assumptions.
One should have a section in the report showing how
the bias depends on varying your assumptions and varying your
parameters. In London we have about 12 assumptions of
parameters. You have one value for each and no indication
for uncertainty.
And the last idea I would like to suggest is that
one might involve independent statisticians. I mean, one has
a situation here where really -- you have Judson Wells on
sort of one side of the fence producing one set of results.
You have me on the other side of the fence producing another
set of results. But, really, I don't think many people in
the world actually understand what's going on at all
otherwise. I think it would be quite nice to wheel in some
independent statisticj.ans who actually haven't got any axe to
grind on ETS and let them get on with it and see what they
come up with.
Well, finally, that's my main conclusion. It's
that I don't think it should be classified as a Group A
carcinogen.
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DR. FLAAK: Dr. Sears, I believe you're next. Let
me just make an observation. We've spent about an hour going
through the first three commenters. At that rate we'll be
here all evening in all likelihood.
I am allowing 15 minutes. I'm timing the
presentations, and I'm adding on the comment times from the
committee members. So in some cases there may be a little
bit more than 15 minutes; in some cases there may be less. I
ask the remaining speakers, please try to get to the point
and focus on your issues so we can get everybody in this
evening and get a fair opportunity to hear everyone's
comments.
PRESENTATION BY DR. STEPHEN SEARS
R.J. REYNOLDS TOBACCO COMPANY
DR. SEARS: Good afternoon. My name is
Sears. I have a Ph.D. in Theoretical Chemistry from the
University of North Carolina at Chapel Hill. I work as an
applied mathematician.at R.J. Reynolds Tobacco Company. The
EPA draft document Respiratory Health Effects in Passive
Smoking, Lung Cancer, and Other Disorders is in my opinion
seriously flawed in a number of areas.
My comments today will be directed only toward two
of these areas, specifically misclassification bias and
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background adjustments, and more specifically how these two
topics impact specifically the American epidemiology.
Before I begin considering each one of these topics
in detail, let me recall for you that the 1986 EPA Risk
Assessment Guidelines require that for a causal association
to be established between an agent and cancer there can be no
identified bias which could explain the association.
I contend that not only has the EPA failed to rule
out the single type of bias that they chose to look at --
that is, misclassification bias -- but they've also done an
entirely inadequate job of dealing with many uncertainties in
this risk assessment, particularly those that influence the
misclassification bias and the background adjustments.
DR. LIPPMANN: Could I ask you a question?
DR. SEARS: Sure.
DR. LIPPMANN: One can read that several ways. One
could say that the EPA has not been able to identify any bias
that could explain the association, and I think that's a fair
statement of the literature. What you're saying is something
different. You're saying that they have not specifically
explained IT.
DR. SEARS: Perhaps you misunderstand. I'm reading
this exactly as I believe it's presented in the Risk
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Assessment Guidelines. That is, one of the three criteria
for establishing a causal association is that there is no
identified bias that could explain this association.
DR. LIPPMANN: Exactly. And so it's up to the
people who doubt the EPA report to show which bias could
explain the association.
DR. SEARS: Well, perhaps we disagree to this
extent, Dr. Lippmann. I don't think that there has to be one
bias. There in fact may be more than one bias that could
a J ol : 3~ vt
have an g~ effect which would result --
DR. LIPPMANN: Right. And the argument would be
more convincing if you came in with evidence that one, two,
three, or four biases could explain the association.
DR. SEARS: Well, if you will allow me to proceed
here, I promise you that at least on the evidence dealing
with the misclassification bias, perhaps I'll be able to shed
a little light on that.
Let's begin,with a discussion of misclassification
bias. As an overview, in the next several minutes I hope to
demonstrate to you that there are uncertainties and
assumptions which are multiplied in the current model dealing
with misclassification bias in this report in comparison to
both the EPA's previous work and in other published models.
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Secondly, this method is mathematically indirect
and unnecessarily complicated. Small changes in a single
parameter yield nonsignificant results and the use of more
*o
realistic misclassification rates reduces the risks 93
statistical non-significance.
Let's consider each one of these in a little bit
more detail. First of all, the current model, the model
presented in Appendix D contains a host of adjustable
parameters and assumptions. Depending upon the way you count
them, there are easily between two and three dozen
parameters, variables, and assumptions required to make this
model run. Each one of these, I think it's fair to say, has
a good deal of uncertainty associated with it. The EPA has
made absolutely no effort to propagate that uncertainty
throughout the calculation. The result is an overall
statistic which I believe is rendered useless by the failure
to propagate these uncertainties.
Many of the,parameters, unfortunately, have been
obtained by private communication. This, of course, subverts
the peer review process, and I think even more importantly,
for a document of this source, the public review process.
Some of the data --
hJ E L~S
DR. : It all came from peer reviewed
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papers.
St~
DR. giNGER: I understand that.
JE t, L-5
DR. : And I wrote to the authors to get
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the.detail that was required in order to make an accurate
assessment.
DR. SEARS: Yes, but it's impossible to get the
data that's required specifically to make the parameters that
you need to insert into this model to make that work directly
from that peer review literature. So an additional analysis
of the data has to take place.
WrtLS
DR. : What I was trying to do was to use
Peter Lee's original model to get the data that would make it
run.
DR. SEARS: I understand that.
Wk1-Ls
DR. : That's what I got.
DR. SEARS: I understand that.
W 1= L.LS C,ouj4kS 60,,,t rLC
DR. WESAL9W6K-I: And from PeeI-tzs, F4erce, and
Cummings, those three.. I didn't get it from Lang, a~j~ kn~~~
eanrreet, and Pron and a couple of others.
DR. SEARS: Let me continue my discussion. I agree
with you to the extent of what you've stated. But
nevertheless, there had to be new analysis of this data which
is not available for me to review.
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NrcL.LS
DR. WF69E9WSI4I: You could write to the same
authors.
DR. SEARS: Well, in fact, I probably will do that.
The method itself also has problems. At the
beginninc of Appendix B there are four, actually five,
operating principles which are set out as.a sort of standard
against which all misclassification models should be judged.
These are not followed, or they are followed incompletely in
carrying out the analysis.
The algorithm, the mathematical algorithm, is I
think obscured by a poorly written appendix. It's very
difficult to tell what's going on here.
And finally, this methodology, to the best of my
knowledge -- and I has been think confirmed earlier today --
has not been peer reviewed.
This model is sensitive to a number of parameters,
but it's particularly sensitive to one. This is the
misclassification ratq at which regular smokers report to be
never-smokers. In a moment I'll show you a demonstration of
how sensitive it is to that parameter.
One of the most important things today that I have
to share with you, though, is some new data. This data comes
from a recent study that was commissioned by R.J. Reynolds
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and carried out by an independent survey firm. It involved
n.'nt-
approximately 900 randomly selected subjects in bn diverse
~
cities across the United States. This is, I believe, the
only study conducted to date that can truly claim to be
representative of the American population at large, and
simultaneously derives misclassification data as a function
of marriage to smokers or nonsmokers.
I'd like to give you just a very brief overview of
the results from that study. I will point out to you that
this misclassification rate that I've computed on a
population- weighted average from those nine studies is
-A Z
computed exactly in accordance with @P analytical chemistry
cotinine requirements specified in the EPA draft document and
by the definition used for this parameter in Appendix B.
The result of these nine city studies for the
misclassification rate is approximately five percent.
Compare this to the EPA estimate used in Appendix B of 1.02
percent. Now I will tell you at this point, this data, the
study has only recently been completed. It's in the process
now of being written up for submission for publication, and
I'll be happy to discuss any more details of this with you if
you require them.
Now, the purpose of doing this is because when the
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1-192
use of more realistic misclassification rates are added to
the Appendix B model, it has a very big effect. And in fact
a re-analysis of the United States data, including data from
the nine city studies easily yields misclassification rates
in the range of four to six percent.
What I've done here is to plot in a sort of
sensitivity analysis the pooled relative risks of the
American epidemiology as a function of this critical
misclassification rate. The first bar on this curve
corresponds roughly to the EPA's result, a summary relative
risk of about 1.175 with a lower confidence interval hovering
just above statistical significance at 1.
If one increases this one parameter only out to a
value of about 2 percent, 2.0 percent misclassification --
actually a little bit more, between 2.1 and 2.2 -- then
statistical significance is lost. And going out to more
realistic misclassification rates, it's clear that the
relative risk has dropped sharply and they are all
statistically nonsignificant. I'll also point out to you
that these are based on the new 90 percent confidence
intervals described in the document.
DR. DAISEY: Could you just go back so I can see
the cities in which they did the study?
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DR. SEARS: Yes. Freehold, New Jersey; West Des
Moines, Iowa; Muncie, Indiana; Denver, Colorado; Fort Myers,
Florida; Dallas; Los Angeles; afld-eme-la Buffalo. And in
fact we have some more data to show in just a moment.
DR. STOLWIJK: Could I ask, what questions were
asked, in what setting were they asked, and were they
comparable to the questions that are asked in the study?
DR. SEARS: This was based on a standardized
questionnaire. It took about 20 or 30 minutes for the
subjects to fill out. The overall strategy of this study was
a mall intercept type of study, where you intercept subjects
in a mall and haul them aside, ask them to fill out the
survey and then ask them to run some tests. The tests
involve salivary cotinine (inaudible) for determining the
cotinine levels.
In summary, the misclassification model is
ob'tKS e
logically r-edtced. It requires numerous adjustable
parameters and assumptions as input. The EPA has, I think,
inadequately accounted for uncertainties in the
misclassification calculation, and the use of realistic
parameters in the model quickly leads to statistical
nonsignificance.
I'd like to turn to the background adjustment,
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which is the adjustment that's done after a pooled relative
risk is calculated. As an overview, I will argue that the
EPA's background adjustment is based on selective,
nonrepresentative, and unpublished data. New data exists
which drastically alter the conclusions, and finally the
application of & more realistic data makes a background
correction irrelevant in the first place.
Very quickly, background -- ETS exposure is all ETS
exposure other than that due to spousal smoking. The
critical parameter in the background calculation is called a
Z-factor. The Z is defined simply as the ratio of ETS
exposure from spousal plus other sources to exposure from
other sources alone.
The justification for carrying out a background
correction in the EPA document is the so-called ubiquity of
ETS in our environment. Now, the contention of this ETS
ubiquity is in fact supported on the basis of a single study.
This single study is 9f cancer screening clinic patients in
Buffalo, New York. This is the Cummings study.
Well, let's consider each one of these shortcomings
in more detail. First of all, once again, in the case of
computing the Z-factor for the background correction, the EPA
has obtained data entirely from private communications. None
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of this data in the form that it's needed exists in the
literature. All of it comes from private communications.
In the end, Z is derived from only three studies.
Those three studies are Cummings, Fontham, and Riboli, and in
each case the EPA has treated the data from those studies in
a questionable manner.
As an example, in the Riboli study, one of the
American cities reported in that study was entirely dropped
from the analysis and in another case, the case of Los
Angeles, half of the data was excluded on the basis of an
abnormally high urinary cotinine level. Now, the thing
that's wrong with that is that that abnormally high urinary
cotinine level is right in line with other studies that the
EPA did include in their analysis.
Once'again, I have an extension of the study that
I've told you about before. This in fact is another study or
an addition to the former study which was commissioned by RJR
and it involves approximately 800 randomly selected
nonsmoking subjects in 10 cities across the United States.
Here again, these are the only studies done to date that can
truly claim to be representative of the American population
at large.
DR. SAMET: I'm sorry to interrupt you, but because
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this could be important and you're claiming representative-
ness, can you tell us something about the age distribution,
the sex distribution, and whether the misclassification value
that you're using is overall for both sexes, whether there's
any age adjustment, and,just tell us a little bit more
because it's clearly important in our arguments.
DR. SEARS: Sure. I can answer that question
partially. I'm not the principle investigator on this.
However, this is a study of when exclusively -- once again,
it's a mall intercept study, which involves a questionnaire
and subsequent workup of salivary chemistry. If you require
more data than that, I'm going to have to refer you to the
principal investigator.
DR. SAMET: Specifically, what proportion of the
subjects were in the age range that would be comparable to
those considered in the case control study? I think more
information is clearly requisite.
DR. SEARS: Sure. I'll be happy to provide that.
I'll also point out that in one of these studies,
the one in Columbus, Ohio, we actually used three separate
ETS markers, or three separate markers were used. In
addition to salivary cotinine, also airborne nicotine and
3-ethenylpyridine. To the best of my knowledge, this is the
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only study to have had three markers.
I've summarized the results of that study on this
slide. I'll just point out a couple of things for you.
rA'N es
Notice the range in Z-bodi-es. They range from a low of 1.7
in Freehold, New Jersey, to a high of 14.6 in Los Angeles,
California. The two numbers that are subscripted there are
based on airborne nicotine and 3-ethenylpyridine.
I'll point out just a couple of these numbers to
you. The number for Buffalo, New York, which is one of the
lower numbers in our study, is in rough agreement with
Cummings' data from Buffalo, New York. The number from Los
Angeles, California, which is one of the higher numbers that
we determined, is roughly in agreement with Riboli's higher
value found in Los Angeles, California.
DR. DAISEY: Are there equal numbers of subjects in
each of these cities?
DR. SEARS: No, there are not equal numbers of
subjects, but they're,roughly the same. Compare these
numbers to the estimate used by the EPA of 1.75. Notice that
the EPA estimate is higher than the lowest value that we
found. I'll point out to you now, and you'll see graphically
later on, that the lower the Z-value, the greater the
inflation of the risk estimate.
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In fact, the Z-value employed by the EPA -- it's
equal to 1.75 -- inflates the risk estimate by over 200
percent. A more conservative estimate based on the EPA cited
data, plus new data, but still based solely on cotinine, is
in fact -- gives a Z-value of about 4.11. If we extend this
to include other markers, other than just cotinine alone,
then the Z-values fall roughly in the range of 8 to 22.
Based on the overall evidence, we estimate that the best
estimate here is something greater than 10.
Now, what I've done here is to plot the risk
inflation due to background correction. The Y-axis is the
incremental relative risk, that is, that portion of the
relative risk that's due only to the background correction.
It's a function of this critical Z-parameter over here.
Notice the steepness of the curve for low values of the
parameter Z.
I'll point out three points here. The first point
is the value assumed by the EPA, 1.75, this occurs in the
most steeply varied section of the curve, where the inflation
is by far the greatest, hardly a more advantageous point to
be picked to inflate the risk. As we go out to more
realistic values, that risk is dramatically reduced, and in
fact, by the time you get out to our best estimate value, the
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risk is truly insubstantial.
DR. DAISEY: Can I ask another question about that?
DR. SEARS: Sure.
DR. DAISEY: The experimental data, I think, is
very important, and these are people who are in malls. Do
you have any information on the ventilation rates in those
malls, because that's going to affect the exposure numbers,
and in the sense that you're taking a salivary cotinine
measurement at a time when they are only in a mall, it may
not be representative of what those exposures are. I mean,
it may be elevated. My impression with malls is that the
ventilation rates are very poor.
DR. SEARS: To answer your question directly, I
don't have the information available on the ventilation rates
in those malls. We allowed the outside survey company to
make decisions of that sort. I presume that that data is
available, and if you're interested, I can try to get them.
DR. DAISEY:. We sort of assume that a mall is
representative of kind of all exposure locations, which may
not be correct.
DR. SEARS: Well, the best answer that I can give
to that is that the survey companies that have been doing
this sort of work claim that the population that they
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1-200
intercept in those malls is truly representative of the
broader population of that --
DR. DAISEY: But that's not the question. The
population could be representative. I'm not asking that.
What I'm saying is, the exposure during the time that they
are in the mall may not be representative of the population
exposure, because a mall is a rather specific location as
opposed to --
DR. OGDEN: I had one comment. These are cotinine
measures which reflect exposure of material in the previous
three to five days. With the ventilation in the mall, at the
time they're intercepted, it's really not relevant.
DR. DAISEY: But the nicotine and ethenylpyridine
are air measurements.
DR. OGDEN: They are air measurements averaged over
a period of five to seven days. So it's not simply a measure
of the point of contact. It truly is measured over an
extended period of time.
DR. SEARS: This is Dr. Michael Ogden; he's a
collaborator on this study and a principal investigator.
You misunderstood or I misspoke. The
3-ethenylpyridine and the airborne nicotine measurements were
made only in one city, and that one city was an extended
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period of time over a seven-day period.
DR. LIPPMANN: Where in that city? In their homes?
In the 800 homes?
DR. SEARS: Throughout the hour, throughout the
day.
DR. DAISEY: But in the mall.
DR. LIPPMANN: In the mall, or in the homes, or
what?
DR. SEARS: No...The Columbus, Ohio study -- am I
right, Dr. Ogden -- in the Columbus, Ohio study there were
given passive nicotine monitors which are worn on the
lapel --
DR. LIPPMANN: For a period of five days.
DR. SEARS: -- for a period of five days.
DR. DAISEY: So they went home --
DR. SEARS: They were sampled four times during
that period.
DR. DAISEY:. They would go home and come back to
the mall.
DR. SEARS: Yes. And even when they slept it was
kept with them.
DR. DAISEY: That wasn't clear.
DR. LIPPMANN: That makes it clear.
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DR. SEARS: Okay. In summary, the EPA's background
adjustment is based on selective, nonrepresentative, and
unpublished data. New data exists which drastically alter
the conclusions, and the application of more realistic data
makes the background correction --
DR. SAMET: I'm sorry. Just one more point of
clarification. These Z-values are -- I can remember Appendix
D where we were talking about people who would classify
themselves as nonsmokers or never-smokers. And when you
examined -- when you calculated these data and used the
means, did you exclude values of cotinine compatible with
active smoking?
You showed us already a 5.0 percent
misclassification rate, and at the low values of cotinine
typically observed in the general population, misclassified
active smokers could substantially impact the Z-values. What
did you do to deal with that?
DR. SEARS: Well, first of all, of course the
background correction is separate from the misclassification
correction, which is what's going on in Appendix D. Appendix
D addresses --
DR. SAMET: These are data that assume
nonsmokers --
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DR. SEARS: But if it were determined --
DR. SAMET: Did you remove, then, values that
exceeded --
DR. SEARS: Yes. The answer is yes.
DR. SAMET: Okay. That's fine.
DR. SEARS: All right. And finally, concluding
with both of these topics, measured uncertainties exist,
uncertainties that haven't been taken account of. The EPA
has used unrepresentative, unrealistic data. In the absence
of realistic data there's been little effort to reduce the
uncertainty. And I believe new data invalidate the EPA's
K TS i3 G~. Gl-~~no Q')
contention that :P.,hes-kts Group A
DR. BAYARD: Could you submit the data within part
of the published comments?
DR. SEARS: I will be happy to provide you with
this data as it is put in a form that can be provided, as
soon as we get it written up.
DR. FLAAK: Dr. Gori? The next speaker is Dr.
Gori. There you are. Do you need any overheads or --
PRESENTATION BY GIO GORI, TOBACCO INSTITUTE
DR. GORI: No, I don't need anything.
6.0
Mr. Chairman, ladies and gentlemen, my name is JAe
23 1 Gori. I'm a consulting toxicologist, also trained in
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epidemiology. Up to 1980 and for 12 years I was with the
Nn+i o ri cj
Ruaaian Cancer Institute. Among other duties I was Deputy
Director of the Division of Cancer Cause and Prevention, and
Nr4 ) -;;
Founding Director of the Smoke and Z1rhe&e Program, and of the
Diet, Nutrition, and Cancer Program. I'm here on request by
the Tobacco Institute.
I will take questions -- given the high number of
sharpshooters in the front row, I will take questions at the
end of my presentation.
In proposing the ETS and ~ung Pancer }~ssociation,
the EPA draft document fails as a scientific assessment and
even as a credible dialectic proposition. Its principal
thesis is that, 1) ETS is the equivalent of mainstream smoke
in terms of chemistry and specific biologic activity; 2)
there is no threshold for mainstream biologic activity; and
therefore, 3) ETS is a Group A carcinogen.
~
In proposing the ETS VSS equation, the draft
status, it is plausibXe. More precisely, I should say it is
con c t ;vaA" veagid~b,le because it would no longer seem plausible after
examining the evidence. ETS derives from the dilution of
sidestream smoke and from the small residues of exhaled
mainstream smoke. The smokes have intuitive similarities,
but also marked differences in chemical physical composition
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and behavior.
Mainstream smoke is concentrated and confined to
the high moisture environment of the mouth, throat, and lung.
Sidestream smoke is significantly different from mainstream v++
ETS. In the end, the ordinary ETS is over 100,000 times more
diluted than mainstream in an atmosphere of much lower
humidity and extremely low concentration of volatiles. Water
and volatiles evaporate more efficiently from ETS particles,
which, within fractions of a second from their generation,
attain sizes that are 50 to 100 times smaller in mass and
volume than their mainstream particulate counterparts.
While the lifetime of mainstream smoke is counted
in seconds, that of ETS is counted in minutes and hours.
While aging, ETS undergoes substantial modifications due to
dilution, oxidation, photochemical processes, linkages, and
due to water and volatile losses, reactions
4hQ~
with other environmental components, absorption of-+n
'd saoreo ~,;,7
selu64on to and from environmental substances, and so on.
Some 4,000 mainstream components have been
characterized, but only about 100 from sidestream, and less
than 20 in ETS, due to the extreme dilutions. Thus, it is
clear that besides the measured and known chemical and
physical differences of mainstream of ETS, many yet
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1-206
unmeasured and substantial differences must occur.
The evidence for the mainstream ETS equation in
specific biological activity is virtually nonexistent. In
vitro genotoxic activity has speculative but unknown
relationship to the carcinogenicity in general, and has no
demonstrable power to sustain the ETS mainstream equation.
Other evidence cited by the EPA draft are the
studies of Staunton and Grimmer. However, these studies
relate to ETS but not to -- I mean they relate to sidestream
-A -, dose
but not to ETS. In reality, t4ros% that reacIttarget cells in
the lung must be vastly different between mainstream in ETS,
both in composition and in local concentration.
The only components likely to reach single cells
with some qualitative similarity may be some high molecular
weight, known volatiles in the particulate phase. Even this,
however, must remain an unverified conjecture, given that ETS
derives mainly from sidestream, and sidestream and mainstream
noH-
kAown volatiles are known to be different.
We simply do not know what the composition of ETS
particulates might be because of the difficulties in
collecting and separating what may be ETS particles from
other environmental dusts.
Again, the mainstream ETS equation is
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but its plausibility is not sustained by the evidence.
Nevertheless, even if we assume that 1the equation is valid,
rt /.a 7r #vt Qr o$~ 0'1 GL
consideration of v evidence of no-effect
~~ircS~olJs
ra#.ies deny the notion that ETS could be a human lung
carcinogen.
ETS dosimetry has been an issue of contention for a
long time. Only a handful of ETS volatiles have been
measured. For particulates, there is a contemporary
agreement that prevalent exposures to ETS occur at
concentrations below 50 micrograms per cubic meter in ambient
air.
Now, straightforward considerations that include
differential, lung retention, and clearance rates leads to
the conclusion that average ETS doses are between 10,000 and
100,000
1-~6 times less than mainstream doses. Elementary
calculations involved have been published in a recent paper
Ma ., h /
by Ment-e-1 and myself, which is attached to a separate
submission to this group.
As for the gas phase, simple dilution
considerations arrive at estimates of comparable magnitude.
For instance, the 1986 Academy report on ETS calculated that
the nicotine exposure for ETS is between 57,000 times to 7
million times below mainstream exposure.
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There is ample evidence for thresholds in all
experiments in animals dealing with tobacco smoke and its
fractions. Results show very steep gradients passi~g from
30- 11
maximum effect to no effect in a matter of 10 to 3-4 dilutions
only. None of these studies are cited in the EPA report.
SEP Aha yle,
My second written submission gives several
references and examples that are a common experience for
anyone familiar with this literature. All the epidemiologic
studies cited by the Surgeon General a~id the )&Lsociation of
S d
igarette Pmoking and ~isease give evidence of no significant
effect thresholds.
Pe'I' oThresholds are especially evident in the Doll and
o
Eater cohort of British doctors, widely regarded as the best
do se rlw nft /
data set for t*ese response analyses. Dr. Mentel and I again
reported this in 1991. Just a week ago I had the opportunity
Vyr,o/ly,
of discussing again this issue with Dr. Wynd am and other
prominent colleagues who fully agree with the reality of
thresholds for cigare%te smoking and lung cancer, as well as
for cardiovascular diseases and respiratory diseases. It
appears that smoking up to three to four cigarettes daily may
not be associated with a significant risk.
This concept coincides with the general agreement
that cigarette smoke is a weak initiator, acting primarily in
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a promotional role, a concept further supported by the
dt C rt k Se-
apparent degrees and eventual erasure of risks following
smoking cessation.
As we have seen, ETS doses are thousands of times
below thresholds for active cigarette smoking. Overall then,
neither logic nor evidence sustained the proposition that
mainstream and ETS are equivalent, that no threshold exists,
and that ETS is a lung carcinogen in humans.
Q ; ~It ,.,,'o
Therefore, it is no surprise that the e~i~oq~c
evidence is as weak today as this panel found it in December
1990. If anything, the evidence for confounders is
increasingly stronger, although still curiously belittled by
the EPA draft document. I was flabbergasted this afternoon
to hear that diet may not be a confounder.
The'draft continues to state that no single
confounder has been identified that could explain the slight
meta-analyzed blip in the relative risk. The draft, however,
fails to give evidencp that major known confounders have in
fact been controlled for, and seems unaware that several
a~ p/a,
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require that their aggregate and cumulative contribution be
accounted for in addition to corrections for
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V'hnder
Again, talking recently with Dr. Wyrndem and other
colleagues, we asked what happened to the axiom of
epidemiology whereby relative risks below 2.0 cannot be
reliably interpreted one way or another, especially in
situations where confounders are known to exist and they are
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not accounted for. Could it be bemt:sed that epidemiologic
sensitivity has improved suddenly, unbeknownst to us? A
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cardinal rule of scientific conduct is that the keewn
hypothesis must be defended. Obviously the EPA draft does
not follow this principle.
I shall not dwell on the factual errors in the
draft, on its lax criteria for meta-analysis, on its glib
ease in switching from 95 percent to 90 percent confidence
intervals, on its reliance on published personal
communications, the inclusion of data from unfinished study,
dose
the exclusion of negative results, the contrivance of these
response trends that are not apparent, the contradictions
whereby ETS sometimes.is said to equal and sometimes is said
not to equal mainstream, the Byzantine logic of the models
and appendixes and so on.
Frankly, I would be concerned if my graduate
students kept producing papers of this caliber.
Unquestionably cigarette smoking is a legitimate interest of
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public health, but the best intentions hardly justify
improper means. This obviously is a policy proposal, not a
scientific analysis. As in too many instances before, the
Agency has elected to become an advocate for a cause being
pursued with wrongful methods. Indeed the current interest
in the ethics of scientific conduct provides a fitting and
timely framework for judging this draft report.
To whom should we listen? Last time, some panel
members were criticized for accepting research funds from
CIAR, a foundation underwritten substantially by the tobacco
industry. Today nobody objected that members of the panel
are also grantees of contractors of EPA and other agencies.
Personally I find the whole matter irrelevant. Killing the
messenger may be a political sport, but should have no place
in a scientific context where only the issues count.
In this vein it may look as if some of us are not
here to praise Caesar, but neither us nor you members of the
panel would survive as scientists without a healthy respect
for science. To any observer the corruption of science in
the frenzied rush to incriminate ETS as a health hazard ought
to be cause for concern; more so when this occurs at the
hands of an agency empowered by public trust and funding. If
not at EPA, where should a citizen look for objective and
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accountable information?
Personally I am comforted that some of you, Dr.
Samet and Dr. Kabat in particular, have written about the
lack of scientific support for the association of ETS with
lung cancer and other diseases. Hopefully the entire panel
will see necessary to act in defense of science and will
resolve that promoting policy without sound science is not
good policy at all. Thank you. No questions?
DR. DAISEY: I have a question.
DR. GORI: You have a question.
DR. DAISEY: You mentioned modifications of
environmental tobacco smoke due to photochemical and
oxidation processes which are certainly plausible. Are you
aware of published data on these?
DR. GORI: There are several publications that show
that smoke undergoes oxidation by its form when it is exposed
to the air.
DR. DAISEY:. The nitrogen oxides change.
DR. GORI: Nicotine and other things.
DR. DAISEY: Anything on the carcinogens?
DR. GORI: Like what?
DR. DAISEY: The polycyclic aromatic hydrocarbons
or the nitrosamines. Are there data showing there are
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chemical changes in those that occur in relatively short time
frames relative to air exchange rates?
DR. GORI: I am not aware that benzopyrene or
hydrocarbons, which are relatively inert, will undergo rapid
changes, but they probably get oxidized like anything else by
photochemistry or whatnot.
DR. DAISEY: It is an important issue in terms of
chemical transformation and how fast it would occur. Based
on the intensity of light-indoors compared to outdoors, you
are talking about a factor of 100 to 1,000 lower light
levels. The other factor of course is you have an air
exchange rate, and how quickly you are introducing fresh
smoke and so forth is going to complicate the issue. I am
just asking if you have any experimental data on how large
that effect might be.
DR. GORI: I would be able to provide you with a
few inches of literature on that subject.
DR. DAISEY:. I have seen the N-0, but I am asking
about the carcinogens in particular.
DR. GORI: The carcinogens, I'm not familiar now
with the individual components, but as I said, I would be
able to provide you with the literature for reference.
DR. DAISEY: I probably have the NOX.
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1-214
DR. LIPPMANN: Dr. Todhunter.
PRESENTATION BY DR. JOHN TODHUNTER,
TOBACCO INSTITE
DR. TODHUNTER: Good afternoon. Thank you for the
opportunity to comment on the Agency's Draft Risk Assessment
for Environmental Tobacco Smoke, or ETS. I have prepared
these comments in response to a scientific question about
ETS, not smoking, which was posed to me by the Tobacco
Institute, which I will refer to as TI.
I was approached by TI as a recognized expert in
risk assessment and also due to my high degree of familiarity
with EPA's carcinogen classification and risk assessment
processes. As you may be aware, I served previously as EPA's
Assistant Administrator for Pesticides and Toxic Substances
and also as a member of the interagency working group which
developed the Office of Science and Technology policy
document on principles for carcinogen risk assessment. The
present EPA carcinogei3 assessment guidelines are of course
based on those principles.
I will note here in regard to Dr. Lippmann's query
about where the burden of identifying biases lie, it is a
self-imposed burden assumed by EPA within the guidelines as
they were developed.
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The question which I was asked was, are ETS and
active smoking sufficiently comparable that one can draw
valid conclusions about ETS based on the active smoking
epidemiology? It's the same question that was posed by SAB
to the Agency in SAB's review of the first draft of the ETS
Risk Assessment document.
Of course since there are many major and obvious
differences between active smoking and exposure to ETS, SAB
actually asked the Agency a more limited question which was
to first consider at least whether or not ETS and MS, or
mainstream smoke, were sufficiently comparable so as to allow
one to draw for ETS the same conclusion that one might draw
about MS based on active smoking epidemiology and other data
specifically relevant to MS.
Why was the question posed? Because as several SAB
members commented, at that time on its own the ETS
epidemiology data were clearly inadequate for purposes of
carcinogen classification. The carcinogen classification
process requires that one have sufficient evidence in humans
in order to assign an agent to Group A or known human
carcinogens. That is, one must have a clear signal from
epidemiology studies.
There is no such clear signal from the ETS
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epidemiology database. This was recognized in SAB's previous
review, and the Agency was asked to go see if it couldn't
come up with a link to some other epidemiology base which
might provide a clearer signal.
Before moving on to my comments, which are specific
to the question of ETS and MS comparability -- and I would
like to mention that I have submitted two somewhat detailed
written comments which are referenced, and some of your
questions if you do raise them, I will probably ask you if I
may just be allowed to give you the relevant parts of that.
I would like, as I said, to address the process of
generating a risk assessment like this. As you are probably
aware in developing such risk assessments the Office of
Research and Development, or ORD, does act as a service unit
within the Agency to the office which requests that the
assessment be prepared. In such a capacity, ORD's task is
basically to take the database and extend it, push it, see
what can be done with.it as far as it will go in terms of
supporting policy decisions which may be of interest to the
requesting unit.
In this light I will say ORD has done its job as
well as can be expected given the weakness of the database too
begin with. The ETS epidemiology data have in particular
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1
been massaged to an extraordinary degree so as to try to get
some semblance of a carcinogenic signal out of them. Just as
one example of this, consider the unorthodox shift to a 90
percent statistical confidence in this document instead of 95
percent statistical confidence which is_used in every other
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EPA risk assessment and is used as a standard benchmark by
the scientific community.
Even so, frankly, the required signal is still not
there, which brings us back to my comments on ETS and MS
comparability. If I may have the first slide. As
highlighted on this slide, once we focus it, the biggest
single problem is that one frankly doesn't know if one is
going to make a comparison between MS and ETS, what are the
relevant comparison factors?
I have put on this slide some different factors,
whether they are comparable or not between the two, and as
you face it, the right hand column, my comments, which are
extensions of my submission, as to are they relevant or not?
Even the Agency clearly doesn't know what the relevant
factors are.
Take for example the contradictions between
Chapters 3 and 4 and Chapter 6, if I can have the next slide.
In Chapter 3 of the draft document, the Agency goes to some
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significant effort, particularly in Table 3.1, to compare ETS
and MS on the basis of chemical composition and draws the
conclusion that the chemical composition is similar.
This conclusion is also repeated at the end of
Chapter 4 where the Agency states that if MS is Group A, then
ETS is also Group A due to the similarity in chemical
composition. I think the weakness in that argument was
already commented on by members of the SAB today, but let's
go to Chapter 6 where, particularly in Section 6.2.2, the
Agency goes into some considerable detail as to why ETS risks
cannot be reliably estimated on the basis of extrapolation
from active smoking data.
At pages 6.6 and 6.7 of the draft document most of
the same points are raised which are expanded on in my
written submission. In fact there is an agreement at that
point between my written submission and the draft assessment
that ETS and MS are not comparable in terms of carcinogenic
risk.
In this section the Agency basically repeats what
it stated to Congress in '89 and also cites the Surgeon's
General report to the same effect. The contradiction exists
because ETS and MS are in fact two quite distinct items with
respect to carcinogenic risk assessment.
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The Agency of course is looking for similarity
between the two because it was asked to do so and points out
in Chapters 3 and 4 that there is a chemical similarity. But
as the Agency recognizes itself in Chapter 6, these
similarities are not the relevant factors upon which to make
a valid comparison with respect to carcinogenic risk.
I will point out that in all fairness one may argue
that Chapters 3 and 4 -- the Agency at that point is really
concerned strictly with hazard identification, whereas in
Chapter 6 the emphasis is on quantitative risk assessment.
And we must say that in all fairness.
But this, I do not believe in any way, negates the
plain fact that if ETS and MS are sufficiently distinct
biologically to preclude a comparison with regard to
quantitative risk assessment even at "equivalent exposures"
as the Agency points out, well then they are also
sufficiently distinct to preclude comparison with regard to
hazard identification,
If I could have the next slide. I don't want to
dwell on this slide too much because these are some of the
same points raised by the Agency. But I have summarized here
some of the differences between ETS and MS which are likely
to be relevant to carcinogenic risk. It is a summary only.
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1-220
These points are discussed in detail in my written
submission, and they basically are repeated in Chapter 6.
I will point out that some of these different areas
potentially admit of a threshold of biological action and
those are the ones which are asterisked. In any case, as I
have already stated, there is a similarity in constituents
between ETS and MS but that's about all that they have in
common. Is that a sufficient basis for classification of
ETS? Clearly it is not.
With this next slide, I am going to go into
DR. LIPPMANN: Excuse me. I don't quite see where
asterisks fit a threshold distinction.
DR. TODHUNTER: In fairness to the remaining
speakers, if I can come back to you specifically on that
slide and reference it to my submission, would that be okay?
I can go into that. The top one obviously has to do with I
mixture interactions, which you can affect. The others have
to do with rates of dglivery to target tissue and background
risk process rates.
DR. LIPPMANN: I think those are relevant to the
main heading of the slide. I just don't see where they
relate to threshold issues.
DR. TODHUNTER: That's what I said. I would like to
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send you that slide and specifically index that to my written
submission so it's easier to determine.
With the next slide this is a concern which is
related here; that is that there is too much emphasis on this
question of constituent similarities. Why do ETS and MS have
a comparable constituent content? Quite simply because they
are both derived from the combustion of vegetation-derived
matter. So of course they are going to have similar
constituents.
In fact there are a large number of studies in the
literature showing that smokes from any combustion of
vegetation-derived matter contains respirable particulate
matter, has many if not most of the same chemical components
Y1 ; T r e,S 6
including n44res4we compounds and PAHs as does MS, and like
MS can be active in the Ames mutagen test.
Now by any vegetation-derived matter I mean here
wood, leaves, coal, and so on. I'm not putting this forth as
a trivial comparison --
DR. DAISEY: Your comments on the chemical
composition of these as being very similar, I think you can't
justify.
DR. TODHUNTER: Oh, yes, I can. I can provide you
with literature.
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DR. DAISEY: I think I've seen that same literature
and spent a chunk of my research life looking at it.
DR. TODHUNTER: We can discuss that at some point,
but you will find PAHs in these smokes --
DR. DAISEY: There is a difference between finding
PAH -- you can certainly find PAH in all of those, but there
is a difference between that and looking at the overall
chemical composition of it. If you look at the overall
chemical composition of these things, there are not
identical.
DR. TODHUNTER: Well, neither are ETS and MS.
DR. DAISEY: And many of them are not all that --
DR. TODHUNTER: There is not an identicality --
DR. DAISEY: Many of them are not all that
similar, from a chemical point of view.
DR. TODHUNTER: If you would like, I would be more
than happy to --
DR. DAISEY:. And in terms of their biological
potency, they have been shown in animal tests to be
different.
DR. TODHUNTER: Well, you also have the same
difficulties with MS and animal testing. I will be more than
happy to provide the literature and just put it out for the
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Committee to look at.
In any case it's not a trivial comparison either
since human exposure to smokes and smoke particulates can be
significant. Just as two examples, Dresser has shown that
wintertime nonattainment of EPA's
of Colorado is mainly
shown that wood smoke
the total PAH load to
automobiles do.
DR. DAISEY:
due
can
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to wood
PM-10 standard in portions
smoke and Mele et al have
easily contribute up to 10 times
in rural areas
there a
in winter than
reason to think that there
is a differential effect on nonsmokers who either live with
smokers or do not live with smokers for these exposures?
DR. TODHUNTER: Yes, actually, if you'll allow me
to go on, I'll cite you one study in particular. For that
particular thing I was going to add that you might note the
Sti-~he <J
study of 6i-blrdu in 1990 from Japan which finds a relative
risk of 1.9, which is statistically significant at the 95
percent confidence level for the use of straw or wood as a
cooking fuel in women.
DR. DAISEY: That was not my question.
DR. TODHUNTER: Well, I thought it was your
question. But in any case, no increased risk in that
particular study for ETS. The whole point of this is not
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identicality but rather that there is not identicality
between even MS and sidestream smoke, let alone between ETS.
And the best that was come up with in the draft risk
assessment is that there are many shared constituents.
I think the whole point of this is that shared
constituents is not a sound basis to make a classification.
I think the SAB recognizes that. It just leads you into some
logical absurdities. You just can take chemical analysis so
far. If you took me and analyzed me, I'd analyze in terms of
chemical components about the same as a sea urchin, but I'm
not; biologically quite different. The only relevant issue
is what's biological. This does raise some concerns,
particularly in light of Dr. Farland's comments that this may
be a precedent setting process. I'm a little concerned.
Since I'm running short of time, if I could go to
the very last slide. I would just like to remind the Science
Advisory Board what a Group A agent looks like or
historically has lookgd like and what one does not. In this
slide I've provided relative risk ranges reported for the
marker tumors for arsenic, benzene, and vinyl chloride which
have been classified as Group A, and for electromagnetic
fields which recently was classified as inadequate, and ETS
for comparison.
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I think quite clearly an agent that gives a
relative risk of 1.19, and that after considerable torquing
around of the database whose statistical significance is
highly dependent on which test is used and what assumptions
are made about the uncertainties in the data, just doesn't
belong in Group A. Since ETS and MS really aren't
biologically comparable, as the Agency itself admits, the
case for ETS classification really has to rest squarely on
the ETS epidemiology.
I don't think that is a strong case. It's
certainly weaker than that for EMF, and I don't think there
is any question that the proper classification for ETS would
be Group D and not Group A. Thank you.
DR. WESOLOWSKI: I have a question. You have the
slide there taken from Chapter 6, page 6.6, which said the
basic assumption that lung cancer risks in passive and active
smokers are equivalent, is not tenable, et cetera. But there
were some dots in ther,e, and the dots were rather important.
The quote says "the basic assumptions of cigarette
equivalence procedures is that the lung..." The point is
that EPA did not use the cigarette equivalence procedures.
If you were just agreeing, then EPA did a biased thing in not
using that procedure.
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1-226
1 DR. TODHU why I bring it up
2 that there is a difference in C hapters 3 and 4 and Chapter 6
3 in terms of what EPA was lookin g at. The point I'm making
4 from that is that in Chapter 6, the reason they don't use the
5 cigarette equivalence is becaus e they don't think they are
6 biologically equivalent.
7 DR. WESOLOWSKI: Hold on just one second. The
8 audience, I'd like them to see the full quote which is on
9 page 6.6, and I think that'll c larify it. Thank you.
10 DR. TODHUNTER: And I think it's consistent with
11 what I said. That's why in fai rness I said, you are talking
12 about QRA in Chapter 6 and you' re talking about hazard
13 identification in Chapter 3 and 4. But as a -- and I think
14 as you are well aware, if you h aven't got sufficient
15 biological comparability to mak e QRA comparisons, then you
16 really ought not to be making h azard identification
17 comparisons.
18 MR. FLAAK: Dr. Witor sch?
19 PRESENTATION BY DR . PHILIP WITORSCH,
20 TOBACCO I NSTITUTE
21 DR. WITORSCH: While we're setting that up, my name
22 is Philip Witorsch. I'm a pulm onary physician and clinical
23 professor of medicine and adjun ct professor of physiology at
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1-227
George Washington University Medical Center in Washington,
D.C. I am here at the request of the Tobacco Institute, and
my comments will specifically address the issue of parental
smoking and respiratory disorders in children covered in
Chapter 7 and part of Chapter 8 of the EPA review draft.
I must state at the outset that the opinions that I
am expressing are my own and those of my coauthor and they do
not necessarily reflect the opinions or positions of either
of our respective institutions or for that matter necessarily
of the Tobacco Institute.
The EPA review draft concludes that exposure of
children to ETS from parental smoking is associated with
increased prevalence of respiratory symptoms of irritation,
increased prevalence of middle ear effusion, and a small but
statistically significant reduction in lung function. It
also concludes that exposure to ETS from parental smoking is
a risk factor for asthma prevalence and severity and is
associated with increqsed risk of lower respiratory tract
infection in young children, particularly infants.
We have conducted an independent analysis of the
published studies pertaining to the association between
parental and household smoking and respiratory illness and
pulmonary function in children. This analysis included with
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few exceptions all the papers reviewed in the draft and was
in fact more comprehensive and in our opinion more thorough
than that conducted by the EPA. The results of our analysis
do not support the conclusions stated in the EPA review
draft.
As can be seen from this slide, if you can see it,
we reviewed and analyzed 41 studies addressing respiratory
clinical endpoints in preschool children, 45 studies
addressing respiratory clinical endpoints in school-age
children, 17 studies addressing middle ear disease, and 38
studies addressing pulmonary function endpoints in school-age
children.
In this analysis we considered both consistency of
specific endpoints from study to study and certain important
aspects of the design of these studies, namely validation of
clinical endpoints by medical records or physician's
examination and treatment of potential confounding variables.
While a consistent association between maternal
smoking and respiratory symptoms and certain diseases was
noted in the 41 studies involving preschool children, little
consistency was evident with regard to specific clinical
endpoints in the 45 studies regarding school-age children.
Even when an association was evident in older children, there
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was considerable variation from one study to the next with
regard to the particular clinical endpoint, such as asthma,
cough, wheeze, or bronchitis.
Thus tabulation of all the data from the relevant
studies as shown here reveals that an association between
parental smoking and a specific endpoint was generally
confirmed no more than 50 percent of the time. Similarly a
tabulation of the 17 studies dealing with parental smoking
and middle ear disease reveals that almost two-thirds of
these studies fail to show a statistically significant
association for this particular endpoint.
When the epidemiologic studies dealing with the
association between parental smoking and pulmonary function
in nonasthmatic school-age children were analyzed as shown
here, specific spirometric measures were not consistently
associated with parental smoking. Furthermore reported
decrements in spirometric measurement were usually small in
magnitude and within the range of normal pulmonary function.
With regard to the one possible exception, FEF,,_,,,
where an association of a relative decrement with parental
smoking was reported in two-thirds of the studies, it is
important to note that this particular parameter has a very
high coefficient of variation. In many of the studies the
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differences between groups, particularly with respect to the
FEF25-75, were well within the range of variation generally
seen for this parameter, even if they were statistically
significant.
We next looked at certain aspects of the design of
the epidemiologic studies of parental smoking and respiratory
endpoints in children, both in the preschool and in the
school-age groups.
Using a specifically designed protocol, each of the
studies was examined carefully and thoroughly to determine
whether or not clinical endpoints usually derived by parental
responses to a questionnaire were validated by medical
records or a physician examination, which potential
confounders were considered, what specific criteria were
employed for each potential confounder, and whether or not a
statistically significant association was found between a
potential confounder and a clinical or pulmonary function
endpoint.
Although verification of clinical endpoints in
epidemiologic studies of preschool children was relatively
greater than in those of older children, it is noteworthy
that even in this preschool group, almost 50 percent the
studies lacked such verification, while in the school-age
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group verification was lacking in almost 85 percent the
studies.
As shown here, and I'm not going to go through all
of those just to illustrate, a list of 21 potentially
relevant confounders was derived from variables considered in
these and other epidemiologic studies.
DR. SAMET: Each of these then you regard as
causally associated with child respiratory health.
DR. WITORSCH: Potentially.
DR. SAMET: Potentially? Actually or potentially?
DR. WITORSCH: Potentially.
DR. SAMET: Potentially. So these have not --
DR. WITORSCH: Some there is evidence; some there
is no data on.
DR. SAMET: So these are, as we were discussing
before, sort of potential, potential confounders, not each
having sufficient evidence to be causally linked --
DR. WITORSCI3: Some are real potential confounders
in that there is sufficient evidence. Some are potential,
potential; that is correct.
DR. SAMET: And in the studies of concern we have
asthma incidence and exacerbation, childhood lower
respiratory tract illness, we have middle ear effusion, we
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have respiratory symptoms and reduction of spirometric lung
function with an array now of 21 factors. In fact the
evidence for each of these factors in relationship to those
various outcomes to judge their causality is limited.
DR. WITORSCH: It is. If you look at it that way,
that is absolutely correct. Now, our analysis revealed that
there was considerable variation in the extent to which
potential confounders were considered in both clinical and
functional endpoint studies, in both younger and older
children.
Those considered infrequently or not at all
included indoor pollution, day care use, animal exposure,
stress, dampness and cold, heating and air conditioning,
season, quality of housing, nutritional status of the
subject, have particular importance in the case of preschool
studies; maternal smoking during pregnancy, which was
considered in only 4 of the 41 studies.
Furthermore,there was no apparent standardization
or consistency with regard to the particular confounders
considered in individual studies, as well as poor
representation of the potential confounders in many of the
individual studies. On the average, each paper considered
only 7 confounders, with a range of from 1 to 16 confounders
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per paper. As can be seen here, very few of the papers
considered 11 or more, or more of the half of the potential
confounders.
There was also considerable variation in the
specific criteria used to characterize potential confounders,
most notably among such categories as socioeconomic status,
family health history, and personal health history. In the
case of socioeconomic status, for example, no fewer than 10
different individual criteria were used among the various
studies.
Controlling for a confounding variable was also not
standardized. Depending upon the study, the adjustment of a
confounder would vary from not at all to sophisticated
logistic regression or stratification.
Our analysis also revealed that a number of these
potential confounding variables were in fact consistently
associated with increased prevalence of respiratory symptoms
and diseases. Although this analysis has not yet been
completed -- and that's just within these studies -- we have
so far found six such variables in the studies of preschool
children, three of which were also evident in the studies of
school age children. They are listed on the slide.
Some other variables were found to be consistently
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well as inconsistent with other published literature.
as
While this may reflect a true lack of any
relationship between socioeconomic status and respiratory
health in children, it is more likely a reflection of the
lack of standardization of the specific criteria used for
each confounder, the specific clinical endpoints considered,
their lack of validation, and the variability of treatment of
the confounders.
While parental smoking may be consistently
associated with increased prevalence of respiratory symptoms
and certain diseases in young children, especially.infants,
no consistency of association is found with middle ear
disease at any age or with respiratory symptoms and disease
or impaired pulmonary function in school-age children.
The EPA review draft attempts to convey the
impression that the issue of confounding variables is
resolved. On the contrary, our analysis indicates that for
studies of parental smoking and children's respiratory health
-- both in preschool and school-age children -- attention to
confounding variables lacks rigor in a variety of ways.
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not associated with an endpoint, or to provide equivocal
results in these studies. These included socioeconomic
status, a finding that we thought was counter-intuitive
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There is also deficient rigor reflected in the relative lack
of verification of clinical endpoints.
It is of interest that several confounding
variables were found to be associated with increased
prevalence of respiratory symptoms and diseases in children,
particularly in preschool children, while others that are
potentially important, such as maternal smoking during
pregnancy, have been greatly underaddressed.
The foregoing inadequacies in the treatment of
confounding variables raise a compelling question as to
whether or not the apparent consistent association between
parental household smoking and respiratory illness in young
children is legitimately attributable to ETS or is the result
of bias due to confounding by one or more or even a
combination of such factors. Thank you.
DR. LEBOWITZ: Well, I appreciate the fact that you
can count things like confounders, but part of the question
is whether for each study you went back to all the reference
sources to that study to see if in some way at some time they
have examined those confounders and other factors you say
were ignored, or have examined such things as medical records
or clinical examination for validation; number one.
Number two; I assume that each time you said there
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was a lack of a clearcut finding of association that if the
authors did not calculate power, that you yourself calculated
the power to show there was sufficient power to have such an
association if one did exist.
DR. WITORSCH: As far as the first question, we,did
not always go to the sources referenced in the paper, but we
went through the papers exhaustively and really bent over
backwards in terms of assuming any treatment at all being
considered, being a consideration of the confounder.
In some cases, but not all cases, we may have gone
back to references or other papers from that group, but
otherwise, for the most part we went through the specific
papers. My coauthor has got a comment on that.
COAUTHOR: As far as going back, we attempted to
give the authors in terms of confound the benefit of the
doubt, which meant that usually when a paper is cited for
previous reference or methodology, we went back as far as we
possibly could, so thot we attempted as best as possible to
leave no stone unturned with regard to consideration of
confounding variables.
With regard to whether or not an observation was
statistically significant, we based the judgment on the
conclusion of the author, not necessarily on our assessment.
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If the author had no statistics that stated that there was an
observation, again, we attempted to leave bias in favor of
what the author was attempting to conclude. The only time
that we went against that was when an author concluded that
there was a statistically significant,effect and there were a
95 percent overlapping of confidence levels.
DR. LEBOWITZ: So you went one way and not the
other. Well, I would suggest, knowing most of the studies
that have been done that you did not do a sufficient job of
going back to the references that documented evaluation of
what was done in those studies, and that you cannot claim
that someone didn't show an association if he didn't
calculate the power.
However, I would like to see all the documentation
you have on these different studies to confirm my conclusion
that that was the case. I know reading my own papers, for
instance -- and I have written quite a few -- if you did not
go back to non-ETS pagers and studies, of which there are
about 200, then you will not have absorbed that in fact the
other confounders were evaluated and you will not have seen
that power calculations have been performed. So you would
draw the wrong conclusions.
If that were the case for some of the other studies
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of which I am very familiar, then I would have to say that
you have to return to your study of these other studies to
determine if your conclusions are correct.
DR. WITORSCH: I think with respect to your papers,
I suspect we rarely ever mischaracterized them. We have read
a lot of them. As far as some of the other papers, certainly
we're open to look at that again obviously. Did Dr. Samet
have a question? I guess he stepped out.
MR. FLAAK: One the one hand I'm encouraged to take
a short break and on the other hand I know that's the
equivalent to one or two speakers, so I thought we might just
keep on rolling along for a little while.
Let me identify the next couple speakers. The next
speaker is Dr. Gary Giovino, followed by Dr. John Banzhaf,
Dr. Elizabeth Fontham, Dr. Ron Davis, Dr. Clark Heath, and
Dr. Jeff Wagener. We'll see if we're either out of time at
that point or everybody has fallen on the floor. Gary?
PRESENTATION BY DR. GARY GIOVINO,
CENTERS FOR DISEASE CONTROL
DR. GIOVINO: My comments will be brief. I'm Dr.
Gary Giovino. Currently I serve as the Chief of the
Epidemiology Branch of the Center for Disease Control's
Office on Smoking and Health. Contributions to these
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comments came from the National Institute for Occupational
Safety and Health, the National Center for Environmental
Health, and the Office on Smoking and Health.
Each year about one in every five deaths or more
than 430,000 deaths in the United States is caused by
cigarette smoking. The cost of smoking-attributable disease
to our nation was estimated at $65 billion in 1985. Since
1964, the year of the first Surgeon General's Report on the
Health Consequences of Smoking, more than two and a half
million people have died of lung cancer alone. Since then
research has shown that the health risk from inhaling tobacco
smoke is not limited to the smoker but also include those who
inhale environmental tobacco smoke.
As you know, the 1986 Report of the Surgeon General
on the Health Consequences of Involuntary Smoking focused on
the health effects of exposure to ETS. One of the three
major conclusions of this report was that involuntary smoking
is a cause of disease,, including lung cancer, in healthy
nonsmokers.
This conclusion was based on four main findings:
the absence of a threshold for respiratory carcinogenesis,
the presence of the same carcinogens in mainstream and
sidestream smoke with some carcinogens being more highly
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concentrated in sidestream smoke than mainstream smoke, the
demonstrated uptake of environmental tobacco smoke
constituents by nonsmokers, and the demonstrated increase in
the risk of lung cancer in nonsmokers with long-term
household exposure to environmental tobacco smoke.
In the same year, the National Research Council
concluded that exposure to ETS can cause lung cancer.
According to a 1988 Federal survey, 17 million U.S.
nonsmokers experienced at least some discomfort from ETS
exposure at work with 4.5 million of these experiencing great
discomfort.
Further in 1991 the CDC's National Institute for
Occupational Safety and Health, NIOSH, found that the
collective weight of evidence, that is from the Surgeon
General's reports, the similarities in composition of
mainstream smoke and ETS, and the recent epidemiologic
studies is sufficient to conclude that ETS poses an increased
risk of lung cancer and possibly heart disease to
occupationally-exposed workers.
NIOSH recommended that ETS be classified as a
potential occupational carcinogen, as defined by OSHA's
carcinogen policy, and that occupational exposures to ETS be
reduced to the lowest feasible concentrations. The draft EPA
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risk assessment updates and strengthens the science base
regarding ETS. As stated in this draft, the individual risk
of lung cancer from exposure to ETS does not have to be very
large to translate into a significant health hazard to the
U.S. population because of the large number of smokers and
widespread presence of ETS.
The report estimates that the relative risk of lung
cancer in nonsmokers exposed to ETS to be 1.19 and the number
of annual U.S. deaths resulting from such exposure at 3,000.
By using only studies conducted in the U.S., the EPA
estimates are conservative and appropriate for the U.S.
population.
The 1986 Surgeon General's report also concluded
that children of smokers compared to the children of
nonsmokers have an increased frequency of respiratory
infections and respiratory symptoms and slightly smaller
rates of increase in lung function as the lung matures.. More
recent literature reviewed in the EPA draft risk assessment
confirms that conclusion and also finds that children's
exposure to ETS is a risk factor for chronic middle ear
effusion and asthma exacerbations. These new findings have
enormous and important public health implications for
American children.
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We find this report to be a comprehensive and
objective summary of the available evidence. It uses a sound
analytic approach to synthesize the vast body of literature
on health effects of passive smoking. The CDC supports the
classification of ETS as a Group A or known,human carcinogen,
according to the EPA carcinogen classification system.
In summary, we support the conclusions of the draft
risk assessment and we commend the EPA for the important work
it is doing in the area of environmental tobacco smoke.
Thank you.
PRESENTATION BY DR. JOHN BANZHAF,
ACTION ON SMOKING AND HEALTH
DR. BANZHAF: Members of the Board, my name is John
Banzhaf. I'm Executive Director of Action on Smoking and
Health, sometimes known as ASH, a national nonprofit
scientific and educational organization concerned with the
problems of smoking and with the rights of nonsmokers.
I've absolutely no criticisms or even suggestions
concerning the substantive conclusions of the EPA's tentative
draft. Indeed I would like to convey our appreciation to the
EPA, its staff, its consultants, and to the members of the
SAB for doing such a fine job under what are very trying
conditions and lots of pressure from the tobacco industry.
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However, while I believe the report, especially the
section on lung cancer, is the most comprehensive yet
produced, much of t's importance and fact is likely to be
lost because it is also one of the most incomprehensible. I
say this as somebody with a scientific degree from MIT,
several published papers, two U.S. patents, a well-known
mathematical construct now known as the Banzhaf Index to my
credit.
I've also been following the medical and scientific
literature on the effects of ETS ever since 1969 when we
first summarized it and used it to persuade the then-Civil
Aeronautics Board to require smoking/no smoking sections on
airplanes.
Yet even with this background, which I think is a
little bit more than the general public has, I must confess
to you that vast parts of your report are incomprehensible.
I'm not just talking about the formulas or the appendix. I'm
talking even about thq summary and conclusion.
Far more importantly, let me tell you that I spent
most of the day yesterday on the telephone with reporters who
were generally confused -- and in many cases I think
deliberately so by the Tobacco Industry -- by various pseudo-
scientific arguments which they continued to make. You heard
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some of them today. The ones they try to put off on the
public are far, far worse.
This is not the first time this problem has
occurred. It happens every time the topic of the EPA's
report becomes newsworthy. In fact, it occurs every time the
question of the carcinogenicity of environmental tobacco
smoke is raised in any public forum; that is, before a
legislative body, a regulatory proceeding, a talk show, or
any other.
Many members of the press who I think in general
have more education, greater background than the general
public, for example have real problems understanding how a
study which is statistically insignificant -- as some of them
put it, or not statistically significant -- could possibly
have any value'at all.
They ask how the EPA could possibly have concluded
that ETS causes cancer in nonsmokers based upon only 30
studies, many of whicb don't show this at all, or how we can
be sure that the wives in the spouse study didn't contract
lung cancer as a result of other dangerous habits of their
smoking husbands.
Now although many of the answers to these questions
are available in the report somewhere, they are buried in
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discussions of confounders, type 1 and type 2 errors,
predictive power, tiers of studies, and other jargon largely
incomprehensible to the intelligent layman to whom I think
the report is ultimately addressed, and who ultimately will
be making the important decisions based upon it.
As a law professor who spends some time trying to
teach first year law students how scientific questions
concerning the public health are approached, I can tell you
that many people, even those regarded as very intelligent --
our incoming law students -- don't have any idea how these
decisions are made. And I can tell you from personal
experience over many years the same thing is true for
legislators, regulators, and judges in a growing number of
legal proceedings which now involve the issue of
environmental tobacco smoke.
For example, many members of the public simply
don't understand that many decisions made to classify or
regulate chemicals as.carcinogens are made primarily, if not
exclusively, on the basis of animal studies or highly
elevated levels of exposure. Indeed many think that a single
study either proves X or disproves X, and there is nothing in
between. They have no real inkling of statistics or
epidemiology.
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As a result, I feel that much of the force and
effectiveness of the report, and therefore much of the effort
which has gone into creating and perfecting it, will be lost
if the information is not presented to the public in a form
that it can understand and have confidence in.
Publishing a report which is accurate but
unintelligible, comprehensive but incomprehensible, complete
but confusing, undercuts much of its value, does not provide
the information governmental officials and others need to
make crucial decisions, and only serves to further encourage
the tobacco industry to hold these preemptive press
conferences to attempt to confuse the public with pseudo-
scientific arguments.
Remember that unlike many other reports which seem
to be addressed to narrow chemicals in a particular industry,
this is one that affects virtually all nonsmokers. Thousands
of legislators, regulators, governmental officials, judges
and lawyers are going.to see it, read at least the summary
and conclusion, and try to make intelligent decisions based
upon it.
For these reasons I would like to suggest five
simple suggestions to substantially improve the readability
and persuasiveness of the report. None of them affect the
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substantive conclusions; therefore I don't believe they
should hold up the report at all.
First, I would rewrite the all-important summary
and conclusions chapter -- which is the section most likely
to be read by these judges, legislators, regulators, and so
on -- with the help of a professional science writer to state
exactly the same conclusion in a form which is easier for
laymen to understand and appreciate.
For example, in summary and conclusions we read,
"The studies are individually assessed with strength of
association exposure response trend. They quantitatively
value potential confounding, bias, and likely ability to
provide information about lung carcinogenity and ETS." Well,
I think I know what you mean. I can tell you the great
majority of the public does not.
Unfortunately scientists, health professionals,
even lawyers tend to write in a particularly stilted manner
that we've become accustomed to, and of course we write in
jargon. Fortunately in the science area there are skilled
science writers who can make that more intelligible.
Unfortunately for lawyers, nobody can do anything with legal
writing. So I would strongly suggest that you see if you
can't get a science writer to help.
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Secondly, I would include a section listing all the
governmental and other scientific/medical bodies, both here
and abroad, which have likewise concluded that ETS is a
dangerous carcinogen which causes lung cancer and lung cancer
deaths in nonsmokers. Why? Let me give you an example of
what the tobacco industry said just yesterday, from a UPI
story. They said, "The EPA report is distorting facts to
support political viewpoints. It is subjecting science to
tortuous statistical manipulations in order to say what may
be politically correct." I think Dr. Gori said some of the
same this afternoon.
I think for most members of the public one of the
most persuasive things is this is not something the EPA has
suddenly discovered, but that well over a dozen different
scientific, medical, governmental, nongovernmental bodies,
not just here but in other countries in the World Health
Organization, have all reached exactly the same conclusion.
Your report.mentions a few, and cites a little bit
from them. Why not take all of these different bodies which
have made these conclusions, set out their major conclusions,
and show that the EPA, and by inference the SAB, is not off
politically grandstanding and subverting science to policy.
Obviously, all of these different bodies can't all
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be biased against the tobacco industry. Indeed with that
evidence people might begin to suspect it's the other way
around, that it is the tobacco industry which has their bias
and that they are using it to perhaps change their scientific
viewpoint.
Indeed I would respectfully ask and suggest that
this panel, this afternoon, ask each of the experts who have
testified here today on behalf of the tobacco industry if
they will state on the record whether or not they agree that
the evidence today overwhelmingly supports the conclusion
that mainstream tobacco smoke causes lung cancer in smokers.
Many of these people are still in the room. They can be
asked before they leave.
Now, this is not in any way an unfair question,
particularly in view of the various insinuations that have
been heaped upon the EPA, and by inference, I believe, the
SAB, which supported the conclusion, because they claim that
although they are being paid by the tobacco industry, their
payments have not affected the objectivity of their
scientific views. Obviously they have to be familiar with
the literature because some portion of the EPA report deals
with mainstream tobacco smoke and its effect upon smokers.
So ask them. Do you agree that mainstream smoke
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causes lung cancer in nonsmokers? Now, if their answer to
that question is no, this should undercut if not destroy
whatever scientific credibility they may have come into
before this Committee, as well as the weight the Committee
might be inclined to give to their assertions that ETS
evidence is simply not strong enough and that more study is
needed, because after all, if they are not willing to admit
today that there is evidence that smoking causes lung cancer
in smokers, they will never admit that tobacco smoke causes
lung cancer in nonsmokers at the other end of the room.
It's a simple thing the Committee can do to clear
the record. By the way, if any of them do admit that
mainstream tobacco smoke causes lung cancer in nonsmokers and
they are testifying here on behalf of the tobacco industry, I
think it will be a front page headline in tomorrow's news.
My third suggestion would be to include within the
report a question and answer section, in which doubts about
the statistical significance, the weight of the evidence, and
other similar questions are answered briefly in lay language
and using simple examples for those who are not familiar with
statistics and epidemiology. I have to do this all the time
because people ask me what the EPA report is all about. How
23 1 could something statistically insignificant amount to
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anything? How could you push studies together?
Well, I explained to a reporter, let's make a deal;
I'll take out a coin, we'11 flip it, and if it comes down
"heads" I'll get a hundred dollars; if it comes down "tails"
I'll give you a hundred dollars. You say to me, well, let's
test that coin. So I flip it a hundred times and it comes
down fifty-six times "heads." Well, that's not statistically
significant to 95 percent probability; only about 90 percent,
so you're a little bit suspicious. I'm almost certain you
wouldn't desire to inhale a chemical which.has been proved to
cause lung cancer only to a 90 percent probability.
Now, suppose we do it again and again and again and
again. We do it four times, four hundred flips, and each
time it comes down on an average of 56 times. No one study
is statistically significant, but you put them all together
and statistical significance is overwhelming. I think it's
about .99. So yes, you can in some senses take individual
studies which are not.statistically significant and with care
-- obviously this is an oversimplification -- put them
together. These are the kind of explanations that people
want and need if they are going to trust the report that you
give them. 3
23 1 Number four; I would add a table showing the number
co
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and different types of studies, the types of evidence upon
which other substances have been classified as Class A
carcinogens. A lot of people think the EPA is going way out
on left field on this. I mean, after all, you've only got 30
studies, plus animal studies, chemical studies, in vitro
studies, so on and so forth. Don't you require much more to
classify all these other things?
I think if they saw the evidence laid out on other
common substances that they know, they would have a much
better appreciation as to the strength or weakness, and again
this does not affect the substantive conclusions at all. It
shouldn't be something that should require review. This is a
matter of record.
Five; I think it would be important to prepare a
chart showing the number of lives which are estimated to be
saved by the EPA or other agencies' regulation of
carcinogenic substances. A lot of people say what's 3,000 a
year? We've got a lot of people in the country; what's 3,000
a year?
Well, I think if they sit down and look at the
other substances, whether they are carcinogens or whether
they are components of outdoor air pollution, look at the
estimates as best we -- we, your agency and the others --
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have made them as to how many lives are placed at risk and
why we're spending billions of dollars to reduce exposure to
them and compare it with the estimates you have here, they
would appreciate your report all the more.
In summary then I think your report -- I've no
criticisms of your report and its conclusions -- but I am
respectfully suggesting given all the time and energy and
reputation that you have put into it will be of little value
if it is simply scientifically correct but is neither
believed nor understood by the thousands, tens of thousands,
of people without your scientific background who will have to
make the decisions as to whether or not to ban smoking in
this place, to limit smoking in that place, whether to award
damages in ETS cases in courts and agencies, and to make all
the other decisions.
You cannot ignore the impact of the report. Make
it not only the best scientifically, but the most readable
and the most persuasive. I thank you for the opportunity and
would welcome any questions.
DR. BAYARD: One question. I know you want to get
a professional scientific writer to write the summary and
conclusion, but do you think you could get three or four
professional scientific writers to agree if they had to write
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the conclusions together?
DR. BANZHAF: I didn't say I wanted to get a
professional scientific writer to write the conclusion. What
I would like to suggest is that the EPA and particularly the
people who are drafting the all-important summary and
_conclusion section, which is the only part the overwhelming
majority of the public will ever read, employ the assistance
of one or more science writers who will assist them in a
variety of ways in simplifying the writing style.
If you get two or three of them, yes, I think they
will all agree on certain things. You have got to shorten
the sentence length. You've got to avoid a lot of the jargon
which is in there. It's all right to use "confounders"
somewhere in an appendix or off in Chapter 10 after you've
begun to explain it. Using them up in front, nobody knows
what they mean. I think you'd find that many science writers
would agree as to the basic things that have to be done.
It's been my experience that they can improve it,
and one good example would be some of the articles which have
appeared for example in "Consumer Reports" and particularly a
very early book by "Consumer Reports" which explained the
then very thin evidence that active smoking caused lung
cancer in smokers. That is the first Surgeon General report
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in 1964.
Many of these same questions were then raised by
the tobacco industry, and this report took you step by step:
well, how do we know it isn't something else, and what does a
dose response mean, and why is it important that all these
different studies all came to the same conclusion, and so on.
And once again, I hope you really will ask the
tobacco industry what they think about the evidence relating
to mainstream smoke. I think that's part of the record. I
think the public deserves to know it. I think it would be
very interesting to get the answers. Thank you.
MR. FLAAK: Dr. Fontham is next, but in the
interests of comfort, why don't we all take a short break for
about seven minutes or so.
(Brief recess.)
PRESENTATION BY DR. ELIZABETH FONTHAM,
SPEAKING ON OWN BEHALF
DR. FONTHAM; In my prepared remarks -- sorry,
excuse my voice, it's going -- I have written down good
afternoon. At this point I'll say good night, good evening.
I'm Dr. Elizabeth Fontham. I currently hold an appointment
as Associate Professor in the Pathology Department at
Louisiana State University School of Medicine.
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I was invited to come here today by the Office of
Smoking and Health, but I'm speaking on my own behalf. I
serve as the National Coordinator and the principal
investigator for the Louisiana component of a multi-center
case control study of lung cancer in nonsmoking women, which
has been included in this report of the assessment of lung
cancer in adults and its relation to passive smoke exposure.
Our study was initiated in 1985 to evaluate the
association of environmental tobacco smoke exposure with risk
of lung cancer in lifetime nonsmoking females. The study was
designed to minimize -- although it couldn't possibly
eliminate -- some of the methodologic problems which have
been concerning previous studies of ETS and lung cancer;
specifically misclassification of smoking status, accuracy of
case diagnosis'and cell type, recall bias, ETS exposure from
sources in addition to spouse, and potential confounders.
The findings of the first three years of our five-
year study were published in November 1991, and our report
has been included in the present EPA draft. I would add
parenthetically that our study was originally designed to be
a three-year study, but because of the unique histologic type
distribution, we applied for additional funds to do two
additional years.
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1-257
Because our study is one of the more recently
reported ones, I would like to briefly describe our study and
its findings. I'm clicking for the first slide, but perhaps
in the wrong direction.
The study is a population-based, case-controlled
study of lung cancer in women who never used any type of
tobacco. Tobacco use was defined as 100 or more cigarettes
smoked or any other type of tobacco use for six months or
more. Geographically the study included five metropolitan
areas: Atlanta, Houston, Los Angeles, New Orleans, and the
San Francisco Bay area, representing a population base of
approximately 18.5 million people.
Rapid case ascertainment procedures, which included
weekly or biweekly review of pathology reports from study
hospitals, were used to identify potentially eligible lung
cancer cases. Upon completion of case ascertainment, at the
end of the five years of study, over 17,500 potentially
eligible cases were sgreened.
Eligible cases included English, Spanish, or
Chinese-speaking females ages 20 to 79 who had a
histopathologically confirmed diagnosis of primary carcinoma
of the lung made prior to death, had no history of previous
cancer, and were determined to be a lifetime nonuser of
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1-258
tobacco according to procedures which I will shortly
describe.
Two control groups were selected in order to
evaluate response bias which is always a consideration in
comparisons of ill cases and healthy controls. The first
control group, the population control group, was selected by
random digit dialing and supplemented by random sampling from-
the files of the health care financing administration for
women ages 65 and older.
Controls for frequency matched the cases on age, in
broad age groups; less than 50, 50 to 59, 60 to 69, and 70
plus, in a two-to-one control to case ratio. They met the
same eligibility criteria as cases for age, residence,
language, and tobacco use.
A second control group was selected for females
ages 20 to 79 with a diagnosis of primary carcinoma of the
colon -- also histologically confirmed -- who met the same
language, previous caucer, residence, and tobacco use
criteria as the cases and were matched by 10-year age groups
and race.
A multi-step procedure was used to determine
lifetime smoking status. The medical record of each
potentially eligible lung cancer case and colon cancer
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control was reviewed for information on tobacco use.
Patients identified in the medical record as current or
former smokers were considered ineligible.
The physicians of lung cancer cases and colon
cancer controls still considered potentially eligible were
then contacted for additional information on tobacco use.
Potential study subjects with lung cancer and colon cancer
identified as current or former smokers by their physicians
were considered ineligible. This screening procedure not
unexpectedly eliminated a larger proportion of lung cancer
cases than colon cancer controls.
All remaining potentially eligible study subjects,
cases and both types of controls, were contacted by telephone
to elicit information on tobacco use and ask specific
questions. Women who reported ever smoking 100 or more
cigarettes or using any other form of tobacco for more than
six months were considered ineligible. At the time of
interview, these same,questions were repeated to confirm each
study subject's reported non-use of tobacco. About 4 percent
of otherwise eligible women with lung cancer were found to be
never-smokers after this multi-step screening procedure; that
is, 96 percent were considered ever-smokers.
At the time of interview and not prior to that
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time, a urine sample was requested from each study subject by
the interviewer. All interviewers were nonsmokers to
eliminate the unlikely possibility of contamination of the
sample. Specimens were stored at minus 20 degrees centigrade
until shipment to the American Health Foundation for analysis
of cotinine and creatinine.
This biochemical determination was used as a
verification of current smoking status to exclude study
subjects likely after these many questions still to be
current active smokers. Overall about 2 percent of the study
subjects were excluded from further analysis with
cotinine/creatinine ratios of 100 nanograms per milligram or
higher.
This level was chosen to eliminate persons most
likely to be active smokers, while allowing for the
possibility of very high ETS exposures. Point-8 percent (.8
percent) of the lung cancer cases, 2.6 percent of the colon
cancer controls, and ~ percent of the population controls
tested were determined to be ineligible by this criterion.
Had a lower cutpoint of 55 nanograms per milligram,
which was used earlier in an international multi-center
validation study by IARC, been selected, then 2.4, 3.3, and
3.9 percent of the lung cancer cases, colon cancer and
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1-261
population controls respectively would have been excluded.
And this had minimal effect on the study findings.
The proportions of study subjects with cotinine
levels greater than 55 nanograms per milligram and greater
than 100 nanograms per milligram are virtually identical to
that in the IART study which also purportedly included only
nonsmokers.
The lower proportion of cases with cotinine levels
above 100 nanograms per milligram in our study as compared to
the colon cancer controls and population controls, may be the
result of prior medical record reviews and physician queries
used to screen out ever-smokers from the lung cancer and
colon cancer control series.
The information was more commonly available in the
chart and from the physician for lung cancer cases. A larger
proportion of potential cases were excluded as ineligible
prior to obtaining the urine specimen.
Cotinine analyses are now complete for the entire
study. A higher proportion of cases have no determination
because approximately 34 percent were deceased at the time of
interview with proxy respondent. However among all study
subjects who were self-respondents, a higher proportion of
cases were able to provide a urine sample; 88.5 percent
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versus 82.5 percent of the controls.
Unless vital status is strongly associated with
smoking status among cases, which I do not believe to be the
case, then only one case without a tested specimen from among
these proxy respondents might have been excluded as a result
of urine analysis. The extensive procedures taken in this
study to screen for tobacco use served to minimize
misclassification of smokers as nonsmokers.
In addition to obtaining pathology reports for each
case, representative slides were requested from the hospital
to confirm and to uniformly classify each case. Slides were
available for about 85 percent of the cases and were reviewed
by one pathologist specializing in pulmonary pathology.
Of the cases in our published report, as shown in
this slide, 2 percent were found to be ineligible and were
excluded from the analysis. Upon completion of the review
for the five years of the study, no additional cases were
found to be ineligible and we have an overall 1 percent
ineligible by path review.
The histologic type of the reviewed and unreviewed
cases overall at the end is quite similar. A very high
proportion of the cases were adenocarcinomas -- around 75
percent of them -- and this was consistent in each of the
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five study centers. In our report, cases that had not
undergone review were included in analyses of all lung
cancers combined but were not included in the analysis of a
specific histopathologic type.
One of the specific aims of this study was to
evaluate the histologic specificity of the ETS/lung cancer
association by examining the relationship for each of the
main histologic types. At the time of our three-year report,
only the number of pulmonary adenocarcinomas was sufficiently
large to achieve reasonable statistical power in histological
type specific analyses. Therefore our report considered the
association of ETS with all primary lung cancers and with
primary pulmonary adenocarcinoma.
The estimated risk of lung'cancer in nonsmoking
women associated with ever having lived with a spouse who
smoked was approximately 30 percent, regardless of which
control group served as the comparison. An approximately 50
percent increased ris$ was observed for adenocarcinoma of the
lung, a gain consistent for each control group.
Separate analyses were conducted for subjects who
personally responded and for those for whom information was
obtained from surrogate respondents. The findings were
consistent for self and proxy respondents.
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All odds ratios were adjusted for age, race,
geographic region, respondent type, income, and education.
Other potential confounders including diet, occupational
exposures, and family history of lung cancer were not
considered in the published three-year report. Additional
findings from this data set were recently reported at the
American Society of Preventive Oncology.
The approximate 30 percent risk of lung cancer
associated with spousal ETS exposure persisted after
adjustment for vegetable consumption, which was the most
significant food or nutrient factor, family history of lung
cancer and employment in high risk occupations or industries.
Household radon was determined in a sample of case
and control homes under separate funding. Radon levels are
quite low in all of the areas included in our study and less
than 1 percent of all homes tested had levels of 4 picocuries
per liter or higher. The observed ETS associations in our
public report seem unlikely to result from confounding by
these factors.
A positive dose response was observed for all lung
cancers and pulmonary adenocarcinomas with several measures
of spousal ETS including dose, duration, and pack/year.
Trends were similar but tended to be higher for pulmonary
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adenocarcinoma than all lung cancers combined. Exposure to
ETS from various sources during adult life was evaluated in
addition to spouse-related exposures.
Exposure to cigarette smoking from other household
members, on the job, and in other activities of adult life,
we call that "social exposure" -- exposure of two or more
hours a week from sources other than occupational or
household -- were associated with an overall 40 to 60 percent
significant elevation in risk of adenocarcinoma of the lung
and of all lung cancers combined.
No association was found between risk of lung
cancer and childhood exposures to cigars, pipes, cigarettes,
or all types of tobacco combined. These exposures were
limited to the first 18 years of life, and after that age
exposures were'attributed to adult life.
The findings of our study which included methods to
evaluate recall bias, minimize classification of smokers as
nonsmokers, ensure acquracy of diagnosis and classification
of lung cancer, and adjust risk estimates for potential
confounders, are consistent with and extend the findings of
the numerous published reports that were not able to address
all of these issues.
The overall 30 percent increased risk associated
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with ETS exposure from a smoking spouse is remarkably close
to the 25 to 34 percent estimates of the evaluation of
relevant studies in the 1986 report of the National Research
Council.
The significant positive dose response to exposure
to tobacco smoke within households, in occupational and
social settings during adult life, in this study strongly
supports an etiologic role of ETS in lung cancer in
nonsmokers.
Thank you. I would be happy to answer any
questions. Yes?
DR. SAMET: Can you say how large your series'will
be when the study is completed, and also just something about
the timing of the interim report that you've presented. How
did you decide'when you were ready to present the totals?
DR. FONTHAM: The number of cases in the interim
report was.420. The number of cases in our final report will
be 650 and I forget the last digit; 53, 56. The study was
originally intended to be a three-year study and we had a
very large case series at the end of three years.
Because we had such a largeseries, we thought --
and because it is an important public health issue -- it was
important for us to publish what we had rather than wait for
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two additional years hoping we had enough squamous and small-
cell carcinomas to look at, which is essentially what the
additional two years will achieve.
DR. SAMET: What percentage of potentially eligible
cases were actually considered cases after you stepped
through your procedure for identifying whether they had any
personal smoking history in the past? You gave a number; I
just couldn't remember it.
DR. FONTHAM: I'm sorry; 4 percent. Yes. I
thought you meant --
DR. SAMET: Of all the potential cases after you
went through your -- 4 percent actually had no personal
smoking exposure after you went through all of those
potential sources?
DR. FONTHAM: Right. Which was quite different
from the proportion of never-smokers that we used in our
sample size calculations at the time we wrote the grant.
Three of the study ceuters of the five had done previous
studies of lung cancer fairly recently. We'd done one from
'79 to '82; Anna Wu had done one in Los Angeles; Pat Butler
in Houston.
The range in those studies was 8 percent, 10
percent, 12 percent. We were at 10 percent. We used that
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middle figure and we --
DR. STOLWIJK: I can confirm that. In Connecticut
we are finding 5 percent.
DR. FONTHAM: It's not just L.A. or just San
Francisco; it's very consistent for all five areas.
PARTICIPANT: What are your results just for
squamous cell cancer over lung cancers other than
adenocarcinoma?
DR. FONTHAM: Flat. It was a very small group.
PARTICIPANT: But for active smoking, those cancers
that are implicated, and adenocarcinoma is not in --
DR. FONTHAM: Oh, adenocarcinoma certainly is. All
sorts are. Any other questions? Thank you.
DR. KABAT: I have a quick question. I was curious
as to whether you looked by duration in childhood and
adolescence to see whether there was any confirmation at all
of the Janerick findings, in that subgroup that was most
heavily exposed.
DR. FONTHAM: We found when we looked ever/never
for mother/father or other childhood exposures we saw
nothing. When we looked at duration we likewise did not see
an increase at the high end exposure. But in our study,
unlike his -- in the Janerick report the only elevations in
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childhood were after 25 smoker years.
Seventy-five percent of the cases in our study were
17 years of age and older. Few if any of them had mothers
who smoked. It was quite uncommon. We consider childhood to
be from birth to 18 years of age. In order to get 25 smoker
years in our population you'd have to have a father smoking
for 18 years and a couple of series for other smokers. So,
no, we did not. Thank you.
MR. FLAAK: The next speaker is Ronald Davis.
Let's see if this thing will work.
PRESENTATION BY DR. RONALD DAVIS,
COALITION ON SMOKING OR HEALTH
DR. DAVIS: Good evening, I'm Ronald Davis. I'm
the Chief Medical Officer of the Michigan Department of
Public Health and I'm a former Director of the Centers for
Disease Control's Office on Smoking and Health, and I also
serve as editor of a new international journal called
"Tobacco Control" whigh is published quarterly by the British
Medical Association.
At this meeting I am representing two
organizations. First, the Coalition on Smoking or Health,
which is comprised of the American Cancer Society, the
American Heart Association, and the American Lung
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Association. I am also representing the Association of State
and Territorial Health Officials, or ASTHO, which represents
our nation's state health directors.
Before I give my own prepared remarks, I wanted to
mention that Dr. Doug Dogri has submitted a written statement
on behalf of the Coalition as well. Dr. Dogri is with the
Harvard School of Public Health and we hope that his written
statement would be entered into whatever official record
there is of this meeting, and I would just like to read the
conclusion in his statement.
I quote, "The EPA has provided an objective and
complete review of the evidence of the association of
environmental tobacco smoke with lung cancer. To me the
evidence of a causal association is overwhelming, in fact far
more compelling than for any other environmental carcinogen.
Exposure to this carcinogen is probably the most common
environmental exposure. It is time to state the obvious,
that environmental tobacco smoke is a cause of lung cancer
and other disorders."
At the outset, I would like to make clear that the
Coalition's three organizations as well as ASTHO endorse the
conclusions of this draft EPA document. This treatise
represents the most thorough and up-to-date review of the
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evidence on the respiratory health effects of passive
smoking.
The evidence shows definitively that ETS is a known
human carcinogen and a cause of many serious diseases and
symptoms in children and in adults. We commend the Science
Advisory Board, this Committee, and EPA staff, for its
careful consideration of this critically important public
health issue.
While the Committee so far today has received a
heavy dose of technical discussion and presentations, at this
late hour what I'd like to do is to provide a brief
chronological review of the evidence of the health effects of
passive smoking which helps put this report into a bit of
perspective.
That chronology reveals that over time passive
smoking has been indicted as a cause of a growing number of
diseases and conditions in a growing number of populations
based on a growing number of scientific studies for each
population and disease.
It's interesting to note that the health effects of
passive smoking were reviewed twenty years ago in the 1972
Surgeon General's report on smoking and health. In fact,
that report devoted an entire chapter to "Public Exposure to
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Air Pollution from Tobacco Smoke."
That report concluded in part that one, an
atmosphere contaminated with tobacco smoke can contribute to
the discomfort of many individuals, and number two, exposure
to carbon monoxide in tobacco smoke "may on occasion,
depending upon the length of exposure, be sufficient to be
harmful to the health of an unexposed person. This would be
particularly significant for people who are already suffering
from chronic bronchopulmonary disease and coronary heart
disease."
So as far back as two decades ago we had evidence
to conclude that passive smoking is a threat to health. Of
course the evidence has advanced significantly since then.
The health effects of passive smoking were again
reviewed in the 1982 Surgeon General's report on smoking and
health, which was devoted to the topic of smoking and cancer.
At that time, only three epidemiologic studies of passive
smoking and lung cancer had been published. The report
concluded, "Although the currently available evidence is not
sufficient to conclude that passive or involuntary smoking
causes lung cancer in nonsmokers, the evidence does raise
concern about a possible serious public health problem."
As this Committee is aware, and as many people have
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already pointed out, in 1986 the Surgeon General released a
report devoted entirely to the health effects of passive
smoking. By that time, the number of epidemiologic studies
on passive smoking and lung cancer had grown to 13; 11 of
which showed a positive correlation.
Along with other lines of evidence, those
epidemiologic findings allowed the Surgeon General and the
U.S. Department of Health and Human Services to conclude that
passive smoking is a cause of lung cancer in healthy
nonsmokers. That report also addressed the health effects of
passive smoking for children. That same year, as has been
mentioned, the National Academy of Sciences issued a report
that came to similar conclusions.
A third report issued in 1986 by the prestigious
International Agency for Research on Cancer, or IARC in Lyon,
a branch of the World Health Organization, concluded that,
"Knowledge of the nature of sidestream and mainstream smoke,
of the materials absorbed during passive smoking, and of the
quantitative relationships between dose and effect that are
commonly observed from exposure to carcinogens, leads to the
conclusion that passive smoking gives rise to some risk of
cancer."
23 1 So three key reports came out in 1986 on passive
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smoking, coming to the same basic conclusions.
In June 1989, the EPA issued a fact sheet on
environmental tobacco smoke. In the first sentence of that
fact sheet, it states that ETS "is one of the most widespread
and harmful indoor air pollutants." The fact sheet also
states that ETS "is a known cause of lung cancer and
respiratory symptoms, and has been linked to heart disease."
So some people may not be aware that EPA already
has policy stating that ETS is a cause of lung cancer. This
report obviously looks at the evidence in more detail and
looks at it quantitatively, but the EPA has taken a stance on
this issue as far back as 1989.
A year later, as everyone here knows, the EPA
released for public comment the first draft of the report
that you're now considering. By that time, the number of
epidemiologic studies on lung cancer and passive smoking had
grown to 24; 18 of which showed an increased risk of lung
cancer in those who are chronically exposed to ETS in the
home.
In June 1991, as has been mentioned, again, NIOSH
published "Current Intelligence Bulletin 54, Environmental
Tobacco Smoke in the Workplace: Lung Cancer and Other Health
Effects." NIOSH reviewed the previously published studies
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and reports and concluded using OSHA legal terminology that
ETS is a "potential occupational carcinogen."
By the time the current draft EPA report was
completed, the number of epidemiologic studies on passive
smoking and lung cancer had grown to 30; 24 of which showed a
positive correlation. Moreover, as you all know, the report
reviews the evidence now available linking passive smoking
more definitively to conditions such as asthma and chronic
middle ear disease for which data were felt to be
inconclusive when the 1986 reports on passive smoking were
issued.
I've not even mentioned the accumulating evidence
that shows an association between heart disease and passive
smoking. Heart disease is not considered in the EPA report,
so I will not address it except to mention two points.
One, that nine epidemiologic studies have been
published on heart disease and passive smoking, most of which
show a positive correlation between the two. Two, risk
assessments by Wells, Glantz, and Parmley, and Steenland
indicate that passive smoking may cause anywhere from 25,000
to 35,000 deaths from heart disease each year in the U.S.
That toll is 10 times that for lung cancer
attributed to ETS in the current draft EPA report. So we
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hope that EPA will follow its risk assessment on ETS and
cancer and other respiratory conditions with a risk
assessment on ETS and heart disease.
In summary, the evidence on the health hazards of
passive smoking has grown steadily and substantially through
the years. The number of epidemiologic studies on passive
smoking and lung cancer has grown from 3 reviewed in the 1982
Surgeon General's report, to 13 reviewed in the 1986 Surgeon
General's report, to 24 reviewed in the first draft of the
EPA risk assessment, to 30 reviewed in the current draft EPA
report.
There is a striking parallel between the growing
evidence on the dangers of passive smoking and the growth of
evidence in the 1940s, '50s, and '60s on the hazards of
active smoking. Every major health and medical organization
that haE reviewed the evidence has agreed with the conclusion
that passive smoking is a serious threat to health. With few
exceptions, the only challenge to that conclusion comes from
the tobacco industry and its consultants.
This is the same tobacco industry, as Professor
Banzhaf pointed out, that continues to deny that smoking
causes lung cancer in smokers. The industry probably even
denies that smoking causes so much as a cough.
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Given the tobacco industry's continued attempts to
deny the undeniable evidence linking passive smoking to death
and disease, it's instructive to quote from the preface to
the 1979 Surgeon General's report on smoking and health.
Then-Secretary of Health, Education, and Welfare, Joseph
Califano Jr., wrote, "In truth, the attack upon the
scientific and medical evidence about smoking is little more
than an attack upon the science itself; an attack upon the
epidemiological, clinical, and experimental research
disciplines upon which these conclusions are based. Like
every attack upon science by vested interests, from
Aristotle's day to Galileo's to our own, these attacks
collapse of their own weight."
That comment is as accurate today about the
industry's statements regarding passive smoking as it was in
1979 about the industry's statements about active smoking.
I conclude by expressing our hope that EPA approve
this report with dispatch. The evidence is already in.
Formalizing this document will expedite the passage of
appropriate public policy throughout the country by states,
by local jurisdictions, hopefully by OSHA, and by private
employers, which we hope will protect, finally and
comprehensively, nonsmokers from this serious health threat.
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Thank you.
MR. FLAAK: The next speaker is Dr. Clark Heath.
PRESENTATION BY DR. CLARK HEATH,
COALITION ON SMOKING OR HEALTH
DR. HEATH: I'm Clark Heath. I'm the Vice
President for Epidemiology and Statistics at the American
Cancer Society. I'm speaking this afternoon on behalf of the
Society as well as on behalf of the Coalition on Smoking or
Health. I submitted a brief written statement, which I
believe you have. I would just like to make four general
epidemiology-oriented comments from my review of the massive
draft document, or at least those parts that have to do with
epidemiology, particularly of lung cancer.
My first thought is an overall impression of the
document, which is that it's extraordinarily thorough, that
in a scientific way it's well written although I would agree
with the comments about its lay interpretability, which would
be well to revise in terms of the introductory parts, the
summary parts. I think it's entirely reasonable in its
conclusions.
As Ron Davis has just recounted, this is not a new
issue. It's been growing over the past decade or longer in
terms of the accrual of epidemiologic data, as well as data
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from other sources. The conclusion that environmental
tobacco smoke is a lung carcinogen has already been clearly
stated several years ago now by the National Research Council
and Public Health Service in this country.
Those conclusions, as Ron indicated, were based on
13 studies, and here we have a review now of 30 epidemiologic
studies to date. The most impressive one I must say to date
is the one reviewed in detail by Dr. Fontham.
The evidence that environmental tobacco smoke
causes lung cancer is not an epidemiological one alone,
however. It comes from a mosaic of information, not the
least of which is the background information with respect to
active smoking itself, the nature of tobacco smoke and its
constituents, whatever forms it takes, and finally,
laboratory studies and these more recent epidemiologic
studies on environmental tobacco smoke itself.
Which leads me to my second general comment, which
is to remark upon the,appropriate inclusion in the EPA review
draft of the seven so-called recommendations of Sir Bradford
Hill, which were enunciated in the '50s, with respect to the
kinds of thought process that people in policy-making
situations and scientists, epidemiologists in particular,
need to go through in considering what are the causes of a
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chronic disease, not necessarily cancer, but of course his
thinking was derived from thoughts about cancer and active
smoking at that time.
All seven of the recommendations that are listed in
the review draft I think are nicely fulfilled, or adequately
met, with the data that has been reviewed in the draft. I
would particularly emphasize the three recommendations that
have to do with the interdigitation of epidemiologic data
with data from other sources and the need for multiple
epidemiologic data for an issue like this.
The first is the consistency of information of
cross studies, and here I think this review of the
epidemiologic data shows a strong consistency among the
studies. It's not perfect of course. One would hardly
expect that. Epidemiologic studies come in all shapes and
sizes, and it is very important in judging our consistency to
weight them according to their value.
Without goipg into how that's done, although I
think the draft outlines that quite adequately, it is
necessary to create tiers of studies or a hierarchy in terms
of the better, more comprehensive, extensive, larger studies,
going on down the tiers. I think that the judgment of the
studies in the draft according to their tiers is well drawn.
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The second of Bradford Hill's general criteria had
to do with biological plausibility and there's certainly no
doubt that this is a situation where a potential carcinogen
is clearly biologically plausible.
The third is its coherence with existing knowledge.
It fits in well with what we know from many sources and have
developed from many lines of scientific work over the years
and it is utterly coherent. This is perhaps the most
important element in drawing causal conclusions and making
policy thereupon of all of the Bradford Hill recommendations
if I may say so.
My third general epidemiologic point has to do with
how the report handles the issue of comparability. I think
for any epidemiologic study the principal concern is
comparability. Epidemiologists compare exposed people to
unexposed people, or people with disease to people without,
and if these groups in these comparisons are not comparable
-- ideally in every way other than what you are comparing
them for differences in -- then the study will go awry.
So it is very important to look at and consider
clearly the ideas of confounding and bias, and of course the
question that has been perhaps beaten heavily in this forum,
misclassification; not just misclassification with respect to
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smoking, but misclassification with respect to diagnosis if
you wish to pinpoint the type of cancer you're talking about.
For the general conclusion about cancer however,
misclassification from one cancer type to another is a
relatively optional point.
The last of my general points would have to do from
an epidemiologic point with how this draft deals with the
question of population risk, attributable risk. I think it
does it in a sensible manner, clear at least in the way it is
presented scientifically, and to the extent that I understand
statistics, being more of an epidemiologist than a
statistician.
But the elements that go into making -- the
assumptions that go into making -- a population estimate of
how many cases, what is the burden of human cancer that
environmental tobacco smoke produces, I think is important to
lay out clearly and I think the draft does that.
And I do believe that even the most conservative,
careful estimates of this attributable burden for human lung
cancer for environmental tobacco smoke will prove to be, as
someone pointed out earlier this afternoon, a substantial
number of cases, particularly when stacked up against other
environmental carcinogens for which Class A status has been
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granted and for which we have societal safeguards.
Those are the four comments I care to make; the
general idea of the overall impression with respect to this
report, the reference to Sir Bradford Hill's recommendations,
the way the report handles comparability, and finally its
dealing with population risk or attributable risk. Again, I
think it's a thorough report and I would consider it entirely
reasonable in its conclusions. Thank you.
MR. FLAAK: Your last speaker for the evening is
Dr. Jeff Wagener. We will defer the other two speakers to
tomorrow morning, and we'll start a little earlier tomorrow.
PRESENTATION BY DR. JEFF WAGENER,
COALITION ON SMOKING OR HEALTH
DR. WAGENER: Thank you. As the last speaker, I'll
try to keep this relatively brief. I appreciate all the
members of the Committee staying here long enough at least to
hear this. My name is Jeff Wagener and I'm an Associate
Professor of Pediatrics at the University of Colorado. As a
pediatric pulmonologist I want to speak on two facts.
One is, as an academician, I am impressed with the
data as presented. I was asked by the Coalition on Smoking
or Health to come and look at the data and to discuss this
before you today.
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As a pediatrician I would like to make one major
criticism. That is that when you read the title of this
abstract or this draft copy what you find is that they refer
to lung cancer and other disorders. I would point out that
the pediatric population of the world is fairly large and to
be considered an "other disorder" may not be appropriate.
The one suggestion that was made to separate this into adult
and pediatric or childhood lung problems I think is very
appropriate and may increase the validity of the study.
Nearly 10 million children in the United States are
exposed to cigarette smoke in the household, so we are
talking about an extremely large exposure rate. I would like
to discuss just the Section 7 as it pertains to these 10
million children. It's also important to recognize that 25
percent of pregnant women continue to smoke through
pregnancy. So when we discuss prenatal effects of cigarette
smoke, again we are referring to a very large population.
Involuntary,exposure to environmental tobacco smoke
affects children in three different ways. There is a
prenatal effect of exposure which has a marked impact on
total body weight, lung growth, and brain growth. There is
secondly a postnatal exposure which may have significant
impacts on the incidence of respiratory illnesses, may affect
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ears, brain, and finally may have a direct effect on survival
as is demonstrated in some correlation with SIDS.
Finally, and I think the third aspect that I would
like to point out that is not covered very well in this draft
-- and possibly most important -- is that childhood exposure
to ETS impacts on the child's decision to engage in active
cigarette smoking as an adult. That in its own right may be
one of the largest causes for lung disease related to ETS in
childhood.
Now, there are both nonrespiratory and respiratory
effects from environmental smoke
The nonres
irator
effect
.
p
y
that I think is discussed to some degree in this topic would
be SIDS. We don't know the etiology of SIDS. We're not sure
whether or not it is going to be related to the respiratory
system. But I'would still point out that it should be
included in this document.
There are a couple
of reasons why.
One
is
it's
not
included in other doc~ments. Everybody avoids the
relationship that's been shown between ETS and SIDS, and it
needs to come out someplace.
The second is that there are plausible reasons such
as prenatal exposure affecting control of ventilation of the
fetus that may in some way eventually prove to show a
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relationship, a direct cause and effect relationship, between
ETS and SIDS.
On the respiratory effects the chapter does an
excellent job of reviewing various articles. Unlike some
studies where they simply take all the articles published and
weigh which one comes out on one side and which one comes out
on the other side, not looking at the validity of individual
studies, I feel this chapter does an excellent job of
reviewing individual strengths and weaknesses within
individual studies.
However at the conclusion, as was mentioned by some
members of the Scientific Advisory Board, one is not sure
which of the major impacts is of greatest importance. While
Chapter 8 begins to address this, I would suggest that the
impacts be separated in two different fashions.
One is that there are a group of effects from ETS
which are strongly supported by scientific data currently
available. Those include abnormal lung development following
prenatal exposure, increased nonspecific airway hyper-
responsiveness in children raised in a smoking environment,
an increased frequency of lower respiratory infections in
infants living with caregivers who smoke, an increased risk
of severe asthma and frequent acute asthma episodes in
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children with asthma who live in a household where someone
smokes, and lower lung function throughout childhood in
children of smoking families compared to nonsmoking families.
There is very little data to refute these claims.
However there is only suggestive evidence in a few
other areas, specifically the higher risk of atopy in ETS
exposed children still needs some increasing information to
make a very strong statement. More importantly the acute ear
infection and chronic ear infection data I think can be
questioned because it, unlike the data related to lower
respiratory infections, includes a variety of study design
many of which are of questionable value.
Finally the higher rate of chronic cough and phlegm
has been well shown but the correlation with wheeze and ETS
is not as clear. There is a higher rate reported now of
diagnosed asthma, increased incidence of asthma, in children
exposed to ETS, but I would point out that there is one
weakness in that.
If you assume that a child has increased
hyperreactivity of the airways because of ETS and if you
assume that a child has an increase in amount of cough based
on record, the pediatrician is faced with making a diagnosis.
Since we use cough and increased reactivity as the diagnosis
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for asthma, we're now taking an environmental toxin, its side
effects on the individual, and equating that with a disease
called asthma. It may be simply by removing the toxin you
can remove the disease.
There were a couple of comments made by the SAB or
questions that came up. I would like to address just one of
these. That has to do with abnormal lung development.
What I would point out to you is that while, yes,
there is not a clear etiology for what aspect of tobacco
smoke causes abnormal lung development, what is clear is that
human studies demonstrate abnormal lung development detected
soon after birth in children who are exposed prenatally to
cigarette smoke. These findings are identical to the
pathology and physiologic findings noted in animals.
So as far as does cigarette smoke affect lung
development, I think it is absolutely clear based on both
human and animal studies showing identical results of this
impact. Whether or not subsequent exposure to environmental
smoke has further impact on the lung is still in question and
obviously still being reviewed intensively.
In conclusion what I would like to suggest on this
report, beyond renaming the report at the beginning, is
adding an aspect to the childhood risk and that is the risk
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of a child exposed to ETS becoming a smoker as they become
older. There is data out there to support this. Dr.
Lebowitz has published this in several places. There is a
high likelihood of a child exposed to ETS becoming a smoker
subsequently. That's the overall probably highest risk of
developing lung disease in adulthood and causing problems.
Thank you very much. Are there any questions? Everybody
wants to go eat.
MR. FLAAK: We will reconvene the meeting tomorrow
morning in this room at.8:30 to close out the last of the
public comments and then continue with the rest of the
scheduled meeting at 9:00 a.m. tomorrow. So at 8:30 tomorrow
morning we will start again. Thank you.
(Whereupon, at 6:40 p.m., the meeting in the above-
entitled matter was adjourned, to reconvene at 8:30 a.m.,
Wednesday, July 22, 1992.)
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ORIGINAL
UNITED STATES ENVIRONMENTAL PROTECTION AGENCY
SCIENCE ADVISORY BOARD
INDOOR AIR QUALITY AND TOTAL HUMAN EXPOSURE COMMITTEE
- - - - - - - - - - - - - - - - - - -X
In the matter of: :
.
ENVIRONMENTAL TOBACCO . VOLUME II
SMOKE REVIEW PANEL :
-X
Wednesday, July 22, 1992
Main Ballroom
Holiday Inn
4610 North Fairfax Drive
Arlington, Virginia 22203
The ENVIRONMENTAL TOBACCO SMOKE REVIEW PANEL
MEETING of the Indoor Air Quality and Total Human Exposure
Committee of the Science Advisory Board was convened,
pursuant to notice, at 8:35 a.m.
APPEARANCES: MEMBERS:
DR. MORTON LIPPMANN, Chairman
DR. JAN A. J. STOLWIJK, Vice Chairman
DR. JOAN DAISEY
DR. TIMOTHY LARSON
DR. VICTOR G. LATIES
DR. PAUL LIOY
DR. JONATHAN M. SAMET
DR. JEROME J. WESOLOWSKI
DR. JAMES E. WOODS, JR.
CONSULTANTS:
DR. DELBERT EATOUGH
DR. S. KATHERINE HAMMOND
DR. GEOFFREY KABAT
DR. MICHAEL D. LEBOWITZ
DR. HOWARD ROCKETTE
DR. SCOTT T. WEISS
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APPEARANCES: (Cont.)
SCIENCE ADVISORY BOARD STAFF:
MR. A. ROBERT FLAAK
MS. CAROLYN OSBORNE
EPA STAFF:
DR. FARLAND
DR. KOPPIKAR
DR. STEVEN BAYARD
DR. JENNIFER JINOT
OTHER APPEARANCES:
DR. FERNANDO MARTINEZ
DR. KENNETH BROWN
DR. JUDSON WELLS
DR. LEADERER
FROM THE PUBLIC:
DR. GARY FLAMM
DR. MAURICE LeVOIS
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,
C O N T EN T S
PAGE
Public Comment Period (Continuation)
Presentation By:
Dr. Maurice LeVois, Tobacco Institute
5
Dr. Gary Flamm, Tobacco Institute 23
Committee Review of Chapters 3, 6 and 8
Chapter 3 - Estimation of Environmental
Tobacco Smoke Exposure
40
Chapter 6 - Population Risk of Lung Cancer
From Passive Smoking
88
Chapter 8 - Assessment of Increased Risk
for Respiratory Illnesses in Children
From Environmental Tobacco Smoke
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Committee Review of Chapters 1 and 2 153
Other Issues/Future Business 167
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P$ Q CZERIHG Sz
(8:35 a.m.)
MR. FLAAK: Good morning, ladies and gentlemen.
Welcome back to the second day of our meeting. For those of
you who don't know me, I'm Bob Flaak. I'm the Designated
Federal Official for this Committee.
For the benefit of everyone here, including the
Committee members, the EPA has gotten around to installing
some microphones for us this morning, and they seem to work
pretty well. Yes, I know, they're kind of loud. So
hopefully everyone can hear everything that's said for a
change.
It's also a little cooler in here this morning, and
I think we'll probably try to keep it that way. It kind of
keeps things lively.
This morning we have some carryover business from
yesterday. We have two additional speakers to finish out our
speaking part of the iueeting yesterday, and they are Dr. Gary
Flamm and Dr. Maurice LeVois.
Gary, are you -- there you are. Maurice? I'd like
you to go right now. We have about 30 minutes or so. I'll
V
give you both 15 minutes. Do you need some overheacl?
DR. LeVOIS: No, I don't.
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MR. FLAAK: You're all set.
PUBLIC COMMENT PERIOD (Continuation)
PRESENTATION BY DR. MAURICE LeVOIS, TOBACCO INSTITUTE
DR. LeVOIS: I'm Maurice LeVois, and I'm here at
the request of the Tobacco Institute to comment specifically
on some of the epidemiologic issues. I would like to thank
the Committee for taking time and giving me this opportunity
to speak. I certainly hope that some of the things that I
say will be of use to you. I'll be brief.
I would like to start out by considering where we
have been. The first EPA draft presented primarily G,
statistical argument based on epidemiologic data, and
buttressed by analogy to active smoking. The Committee has
properly, I think, asked them to go back and present a much
more thorough analysis of the epidemiologic data upon which
the statistical argument was based because it's really
incorrect to think that you can use statistics alone to
interpret epidemiologic data.
I believe that the EPA has done a credible job of
adding to the base that they laid down with their original
report. It was deficient before, and I think that in many
ways they have tried credibly to address the deficiencies.
The new draft has a lengthy section on
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epidemiologic interpretation. I think that there are still
some problems with that interpretation, and it relies, I
think this time, too heavily on analogy.
I'd like to speak very briefly to the issue of
analogy because I think that it goes beyond simply the
correction which I think I understood yesterday from the
Committee to the staff which was that you can't really push
the analogy so far as to say it constitutes sufficient human
evidence.
The analogy to active smoking is certainly an
important consideration because it gets to the question of
biological plausibility which is certainly relevant in the
interpretation of the epidemiologic data.
So I would just point out that there are
shortcomings to the analogy. It's not an either/or sort of
thing with biological plausibility. It's a matter of
degrees. And there are limits to how far you can go with the
analogy. Within the report the EPA tries to say up front
that the analogy is sufficient, but then later it says that
it's improper to use dosimetric modeling based on cigarette
equivalents as another method of predicting the level of risk
that you might expect.
I submit that you can't have it both ways. If the
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analogy stands, then the dosimetric predictions have to be
seriously considered. If the analogy is not that good, as I
think that you agree that it is not, then it's important to
talk frankly in the draft about how far it goes and what its
shortcomings are.
I would submit a few of the shortcomings are as
follows: Regardless of what constituent you would model on
-- and we must admit up front that we don't know what
constituent to model on -- one of the problems that I have
with the epidemiologic level of risk is that most people were
surprised, and I think should continue to be surprised, that
it is much higher, as you would suspect, based on the
differences between the magnitudes of exposure.
Whether you use cotinine, which I'm not saying you
should use, or some other material, the predictions that you
get from dosimetric low dose extrapolation are orders of
magnitude lower. Now, that's not saying that that's where
the real risk is; but.that's saying that based on what we
know, the risk is surprisingly high based on dosimetry.
Another problem with the analogy, another point
where it breaks down, is that you don't have an ETS exposure,
the heat, nor the astringent characteristics, nor the
destruction of the primary defense mechanisms of the lung
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11-8
that you have in mainstream smoking.
Given current models of carcinogenesis that rely
much more heavily on self-proliferation, it's difficult not
to wonder how this effect that we're seeing, that is larger
than you would expect on the basis of analogy, is manifested
despite these fairly important differences.
One alternative explanation that I think has to be
seriously considered, and I think that IARC seriously
considered the alternative explanation, is that the
epidemiologic studies themselves are flawed. You do have
problems with both an imprecise measure of exposure that is
basically spousal smoking and the problems of concordance,
not only with cigarette smoking activity, but also with diet
and the household environment, the occupational exposures,
and so forth.
It's not sufficient in my mind to rule out the
possibilities of diet or other types of confounders based on
a narrow view of the relevant literature. Clearly the most
important literature is the type of literature that was
presented yesterday by Dr. Fontham. When you have studies
the specifically address the question, that's an important
consideration.
I should point out that while other studies have
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not effectively, as Dr. Fontham has, shown that there is not
a confounding, they have shown that there is ample
opportunity for a confounding. There are unquestionably
correlations between active smoking and spousal smoking, and
diet, as shown in two or three papers, and a variety of other
health-related factors.
So to give short-shrift to the possibility that
when you're dealing with a weak epidemiologic association and
you're dealing with a design that includes a measure of
exposure that is prone to bias and confounding, that you have
adequately taken care of those, and the small studies in
particular that we have seen that are particularly in
observational designs prone to the effects of bias and
confounding -- because you don't have enough numbers to
control for them; you can't stratify; you can't use even very
good measures because you just don't have enough data -- I
would guess that the effects of misclassification are not
adequately represented by one percent error. This is based
on my own experience in conducting epidemiologic surveys and
in personal discussions with some of the authors that have
done ETS studies.
I would agree with what Dr. Kabat said yesterday,
which is that one percent might be considered a lower limit.
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I don't know what the number is, but I think that, again,
it's important not to limit your consideration of the
relevant evidence to this very rarified set of ETS studies in
which there are not often the measures that you would like to
see.
If you were conducting an epidemiologic survey or
an epidemiologic study of your own, I think that you should
-- and most people would -- consider all of the evidence when
they decide what measures they're going to include and what
measures they're not going to.
The same standard applies here. You don't have to
have a study that convincingly shows that something is a
confounder. If you do, you should definitely include it.
But if you have studies that suggest that there is a
correlation between the variables that you're concerned about
and the outcome that you're concerned about independently,
then there is reason to suspect.
And all it takes is, I think, a reasonable database
-- and there is such a reasonable database -- to conclude
that there is some problem that should continue to attract
serious research attention.
I think that the presentation by Dr. Fontham
addressed many of my concerns about that paper. Initially.
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the paper was presented in such a way that it appeared to
come out prematurely. Nowhere in the paper was it explained
that this was initially a shorter protocol that had been
extended. So it appeared that it had come out early. We
were told that it collected information on confounders, and
we weren't told how the confounders behaved.
I think that the problem of misclassification a~d
her paper is not fully taken care of by the use of the
information that she was able to obtain. And some people
spoke to this yesterday.
For one thing, cotinine is going to detect
deceivers once they're hospitalized in very high numbers.
Most people, once they're hospitalized, have enough
disincentives for smoking that they will have probably quit
relatively recently. And dietary cotinine, if people are
deceivers, you can't rely on that to reveal what their true
status is.
I also have.a feeling that people at least
reasonably -- and this may not apply at all to the study in
question -- but I think that as a practical matter, studies
that take place from this point on have to consider that
there are not only social incentives to deceive, but there
are also financial considerations.
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The status that you declare has an impact now on
your insurance rates. And,although some insurance companies
take cotinine measures, I think that there's probably a
database that would be very interesting to explore, finding
out a little bit more about what these measures are showing
in general populations concerning deceivers.
It's not a convincing argument by any means, but
there are reasons to believe that there is still a problem
with misclassification. Even in Dr. Fontham's study, if you
are a deceiver, the chances are that the various sources of
information that she collected on misclassification are all
really information that comes from the same source. They're
not independent sources of information. And if a person has
denied smoking, it's not necessarily likely that they would
have told their physician or the researchers.
So, again, I have a feeling that this question,
while it is minimized in the existing report, should continue
to bear some serious consideration and some serious research
because I think that the fact that we're dealing with a very
low association, an association in this country below 20
percent excess, has to give pause to anyone in terms of the
strength of the conclusions that are drawn from those data.
I would like to make one last comment, and that
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pertains to my own personal view about the use of
epidemiologic data in meta-analysis and whether or not that's
really the answer that EPA is looking for in terms of a
better, more reliable method. I think that it can be, but I
think that it's prone to some serious problems.
The very conditions that make epidemiologic studies
desirable candidates for meta-analysis -- that is, their
small size and their lack of power individually -- undermines
your confidence in the basic underlying assumption of meta-
analysis, which is that the component studies provide an
unbiased estimate of some true effect.
You have reason to accept that assumption when
you're dealing with randomized control trials. Even very
small randomized control trials that adhere to a protocol
have met that assumption, whereas small epidemiologic
studies, as I said, are very difficult to rule out underlying
sources of bias and confounding, and you can't rely on the
assumption that they're unbiased.
Pooling both studies then, may or may not give you
a better point estimate. I think that the confidence
interval around those point estimates are meaningless. I
don't think that there's any basis, therefore, for using that
type of confidence interval as a test of causation or a
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bracket for risk extrapolation when you're dealing with a
collection of small epidemiologic data.
And I particularly believe that if EPA continues to
pursue, as I think they will and will have
to and should,
epidemiologic data in this and future risk analyses, that
they recognize that it's not a simple matter. They have been
told that by the Committee in its response to the first
draft, and I think they need to continue to be told that by
the Committee because there are not very many epidemiologists
at EPA.
And I.don't get a sense from reading either draft
that they fully appreciate what it is to conduct a balanced
criticism of epidemiologic research as a basis for risk
analysis.
Thank you very much.
DR. LIPPMANN: Thank you. I appreciate your
careful, reasoned analysis. Could you stay there a minute?
DR. LeVOIS:. Sure.
DR. LIPPMANN: I think we'd like to engage a little
dialogue on some of these points that you've made. You've
included the issue of coherence of the results, and let's
explore that a little more.
We start by coming to a judgment, I think, on this
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Committee largely on weight of evidence. Clearly, as you
indicate, any single piece of evidence has its real
limitations, and our obligation is to come to a balanced
judgment on the evidence as a whole. I think the analogy
argument starts with the established carcinogenicity of
mainstream smoke. I don't know if you agree on that. Do
you?
DR. LeVOIS: You know, I'm actually amazed that the
Chair would succumb to the pressure of the lawyer who got up
here yesterday and demagogued.
DR. LIPPMANN: If you don't want to answer the
question, let's proceed to the next speaker.
DR. LeVOIS: I'll tell you, my answer to the
question is very much as Gio Gori's yesterday. My
interpretation of all of the evidence is that it's a weak
initiator and acts primarily through promotion.
DR. LIPPMANN: Thank you. Okay. Let's move on
then to the next point I wanted to address because I'd like
to walk through some of this evidence with you and make sure
that we're talking about the same scientific basis for our
decision-making process.
Dr. Gori did spend a lot of time talking about the
physical chemical differences and their impact on the
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dosimetry of mainstream versus ETS. It strikes me that
there's a coherence in the issues that trouble you from the
differences in the physical/chemical properties of mainstream
and ETS.
Mainstream smoke, as he indicated, is a highly
concentrated smoke in which you have mass effects and in fact
it's well established that you get very high deposition
efficiency in the lung, as he said, moreover, very highly
efficient deposition in the large airways, very little
penetration to the small airways.
He also indicated that the ETS is in much more
dilute, small particle aerosol. And he didn't mention, but
it's also well established, that nicotine is essentially
aerosol in mainstream smoke in fairly high deposition in
those large airways, whereas nicotine is a vapor when inhaled
as a component of ETS.
So that helps explain, in my understanding of the
physics, the chemistry and the toxicology and dosimetry of
why adenocarcinoma is associated with ETS and why squamous
cell carcinoma is much more associated with mainstream smoke.
It also helps explain why cigarette equivalents are
less likely to be appropriate, as you suggest, in that you'll
get much more nicotine deposition with mainstream smoke than
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with sidestream smoke, in which it's inhaled as a less than
perfectly soluble vapor.
And so I don't see any problem with your conclusion
that you can't use the cigarette smoke equivalent basis, or
with EPA's conclusion, because of these differences. Where
in your view, since you've considered these things very
carefully -- and I admired your balanced presentation of the
facts -- where we should be persuaded that these differences
which are all coherent with the observed facts need to be
disregarded?
DR. LeVOIS: Well, I think that part of what you
said is speculative. I don't really see any evidence that
would suggest that the materials of concern are reaching more
distal or more deeply into the lung, and there's a reason to
suspect that they might not.
I presume that you're talking about some active gas
phase constituent, and I would suggest that people who
breathe nasally and bzeathe lightly don't breathe deeply
enough to have the penetration of those gas phase
constituents that a person that drags on a cigarette very
heavily would.
So I don't think it necessarily follows that what
we're seeing is all that consistent, as you've just
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suggested. I think that we don't know, but I think that much
of what you've just gone through is speculation.
DR. LIPPMANN: Well, that's based on most of my
research career on the dosimetry and deposition of inhaled
materials, so I think it's a little more than speculation,
although we don't have --
DR. LeVOIS: Well, what I'm saying is that --
DR. LIPPMANN: -- I acknowledge we don't have data
specifically on the uptake of nicotine and vapor in aerosol
form that I'm aware of.
DR. LeVOIS: Nor do we actually have in any of the
ETS studies an adequate discussion of where the cancers are.
Most of the information that I'm aware of is very, very
sparse in the epidemiologic literature. It is, as you say,
not -- well, you've implied that we're seeing almost an
exclusive association with adenocarcinoma, first of all, and
that's not the case. About half of the studies show an
increased risk for squamous and small cell. So there is not
this complete consistency that you suggest.
But a further shortcoming of the data right now is
that we don't know where these cancers are in the vast
majority of these studies. So you are, I guess -- again, I
suggest that you're speculating beyond what we know right now.
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DR. LIPPMANN: Any other questions?
DR. LATIES: It occurred to me while you were
speaking that we may have a different kind of
misclassification or deceiver coming up on board now.
Because it's getting possible to sue tobacco companies and
perhaps gain large amounts of money, people dying of lung
cancer may start swearing that they smoked when they haven't
smoked. What would that do to --
DR. LeVOIS: I have no idea.
(Laughter.)
DR. LATIES: I mean, would we have to start
collecting for that?
DR. LIPPMANN: You don't have to answer that, if
you don't want to.
(Laughter.)
DR. KABAT: In reference to the site within the
lung, the location within the lung, my understanding of it is
that most adenocarcinqmas and the bulk -- whether it's in the
Orient or in the Fontham study or in our study, the bulk of
the cases of lung cancer occurring among nonsmokers are
adenocarcinomas.
My understanding of it -- and maybe someone can
confirm that or disconfirm it -- is that adenocarcinoma
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11-20
arises in the periphery of the lung.
So Jon Samet spoke to the problem of reading
radiologic radiographs and actually determining in case
controlled studies that the glandular cells in the
peripheral --
DR. WEISS: Another comment here. I mean, cell
type is not immutable. There's a famous study that all
epidemiologists know and pathologic slides have been
submitted blind to pathologists of lung cancers, that the
cell-type reading -- there's a substantial amount of observer
misclassification as to cell type. They can say it's cancer,
but they can't say which cell type it is.
I view this as somewhat peripheral to the question
that we're really addressing here today, which is the overall
question of does ETS pose a cancer risk?
DR. SAMET: A comment on what Geoff said. At least
whenever I've been involved in looking at this evidence, and
this was most recently in the Radon Dosimetry Report for the
National Research Council, the issue of cell of origin, I
think, of lung cancers, remains an area of research and some
controversy, and the question of whether all dividing cells
have the potential to become malignant and the actual
histologic expression may then depend on multiple factors is,
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I think, very likely.
So it's probably not so simple as peripheral
carcinomas or adenocarcinomas originating somehow from cells
with mucin secreting potential. As Scott said, there are
many examples of multiple -- expression of multiple
histologic types of careful looking or transformation as
cancers evolve.
So I think the question is complicated, and one
that has not really been approached in the epidemiologic
studies, as we already mentioned.
DR. LeVOIS: And I agree entirely that it's hard to
predict what you would expect to see because we don't know
what the different concentrations are and what the
differences might be in the active constituents. But I think
that it's -- I may have overinterpreted what was said
earlier, but the cellular specificity is still an important
question because it does help with the understanding of
ideology, which is what we're trying to get at.
DR. SAMET: Can you give me some examples of --
DR. WEISS: I would argue exactly the opposite to
that question. I think that the answer to that is exactly
the opposite from what you said.
DR. SAMET: Can you give examples of links between
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specific agents and histologic type that are well described?
DR. LeVOIS: I'm not a pathologist. I would defer.
Probably the next speaker could do a better job of that.
DR. SAMET: I mean, I think we have surprisingly
few examples, which is really my point.
DR. LIPPMANN: The reason I raised it was that some
of the other testimony in public yesterday implied that we
shouldn't believe the ETS could cause cancer because it
caused a different distribution of cancer types and
mainstream smoke. And so I was reacting somewhat to that
testimony and trying to explore whether in fact the
differences in the cell types of the lung cancers was really
different and, therefore, breaks the relationship between --
DR. LeVOIS: It certainly doesn't. I don't think
you can push it that far or whether it's useful information.
DR. LIPPMANN: Or whether in fact, if there is a
difference, it would be consistent with the expectations on
dosimetry because of the different dosimetry of mainstream
and ETS. Mike.
DR. LEBOWITZ: Along that too, I mean, you're
dealing with a complex mixture, so you should expect the
different cell types to arise in different locations in the
lung related to that. Certainly anything in the bronchials,
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the alveolar region, certainly could occur because of
deposition patterns regardless of the cell type.
The fact that we don't know exactly what chemical
produces what cell type and the fact that even with active
smoking we're getting a shift towards the adenoids and so
forth would indicate that we're not dealing with something
very simple here that could just be determined on the basis
of a cell type.
DR. LIPPMANN: I think we need to move on. Is Dr.
Flamm here?
PRESENTATION BY DR. GARY FLAMM
TOBACCO INSTITUTE
DR. FLANIIM: Good morning. That was an interesting
discussion. My name is Gary Flamm. I have a Ph.D. in
medical biochemistry, and I've been asked by the Tobacco
Institute to address general scientific and policy issues
raised by this document. I appreciate very much the
opportunity to make these comments this morning.
The first draft of the document submitted to this
Committee approximately two years ago was sent back for
revision as it did not make a convincing enough case for thee
claimed causal relationship between ETS and lung cancer
deaths.
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While the second draft differs significantly from
the first, providing, as you've heard, much more detail and
attention to individual studies, it too in my judgment falls
short of establishing in a scientifically defensible way a
causal relationship between ETS and lung cancer deaths.
As acknowledged by EPA's guidelines, establishment
of causality requires elimination of plausible biases which
can explain an observed increase in relative risk. The
principal bias examined in depth in the present draft was
misclassification of smoking status. Other potentially
important sources of biases were disregarded, such as recall
bias, proxy reporting bias, publication bias, diagnosis and
autopsy bias.
Though misclassification bias was addressed, the
data relied upon produced a very low estimate of
misclassification. Using what we now believe is more
representative data, the percent of misclassified subjects
increases approximately four-fold, causing a loss of
statistical significance in the relative risk of ETS exposed
spouses.
Similarly, use of more representative background
data, instead of the apparently extreme values used by EPA,
leads to lower relative risks among ETS exposed spouses,
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further reducing any statistical significance in relative
risks.
Indications that biases are affecting the results
of the epidemiologic studies is apparent from the geographic
variation in relative risk which cannot readily be explained
in terms of differences in background exposure.
A reasonably lengthy and substantial list of
uncertainties are identified throughout the report on many
subjects, but in general, and unfortunately, these were not
factored into the conclusions drawn by the document. The
estimated range of 2,500 to 3,300 lung cancer deaths per year
is extraordinarily narrow by any measure, but is unrealistic
as it ignores uncertainty and ranges in background exposure
and ranges in misclassification of smoking status.
Consideration of these factors, all of these
factors, leads to, it seems to me, the inclusion of zero lung
cancer deaths in the estimated lower bound of risk of ETS.
Turning to EPA's assertion that chemical similarity
between ETS and MS smoke suffices to conclude that ETS is
carcinogenic to the human lung, I agree with the Committee
members who expressed the belief that such information is
insufficient.
It is insufficient for several reasons. The
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components responsible for mainstream smoke's biological
activity are not known. Only a small fraction of the
substances in ETS has been characterized, as opposed to
thousands that have been characterized in mainstream smoke,
and also, the large but imprecisely determined dilution of
ETS compared to MS smoke.
In summary, the lack of realistic animal studies
demonstrating carcinogenicity of ETS and the lack of
significant increases in relative risks among studies that
have been appropriately corrected for misclassification of
smoking status, leads to the conclusion that there is no
basis for classifying ETS as a Group A carcinogen.
In regard to classification, I find a sharp
contrast between EPA's classification of ETS and previously
listed Group A carcinogens which all have relative risks
appreciably higher than those of ETS. Further Group A
classification of ETS appears to be in contrast with EPA's
position on electromagnetic fields, which in general is
supported by stronger evidence than ETS; at least
epidemiologic evidence.
Such inconsistencies where caution begins by the
expert panel on the role of science in EPA in their recent
report, the expert panel stressed that biases should be
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11-27
avoided, as should the temptation to adjust science to fit a
policy, as appears to be done in this case.
Thank you.
DR. LIPPMANN: Dr. Flamm, are you serious when you
say that there's a more firmly-established basis for
electromagnetic radiation than for ETS? Are you really
saying that in public?
DR. FLAMM: Well, I'm saying there are more
positive epidemiologic studies, and they had --
DR. LIPPMANN: Well, there are far fewer studies.
I think the point more correctly was that the calculated
relative risk is higher, but that doesn't mean anything if
the relative risk is meaningless, as it probably is in the
electromagnetic field with such weak epidemiology as compared
to the ETS epidemiology.
The relative risk is not the issue. The issue is
how much you can believe it and how important it is relative
to the size of the population exposed. Relative risks for
chemicals that are seen by hundreds to thousands of people
may have less public health impact than smaller relative
risks that affect the whole population. That's the problem
we're really addressing here.
DR. FLANIIri: I was talking about the strength of the
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evidence as opposed to what the public health implications
were.
DR. LIPPMANN: Well, both you and the previous
public speaker made much out of the small magnitude of the
estimate of relative risks; therefore, it can't be important
if it's a small number, and contrasting it with other
established Class A carcinogens which have higher relative
risks. So it clearly is an issue in terms of whether this
deserves a Class A designation. Its public health impact is
exactly what we're here to evaluate.
DR. STOLWIJK: Could I ask Dr. Flamm how he would
expect to see a high relative risk in an exposure with these
ambiguities and when it affects as many people as it affects?
How would you expect to see a high relative risk there?
DR. FLANM: Well, I would not expect to see a high
relative risk for several reasons. But as far as ambiguity
is concerned, I think that takes us back to estimates of the
Z-factor and the background factor. And I think it's clear
from the studies that have been done that the spousally-
exposed subjects have an exposure which is several times
greater than spouses of nonsmokers.
DR. HANIIMOND: I would disagree with that, and I
think there are a couple of important points within that.
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First of all, I've seen other data that does not indicate
that it's a factor of several differences between them.
Secondly, I think that there have been significant
changes over the last decade in ETS exposure in general.
What is important is the exposures in the past, not the
current exposures, so that today to look at what the
distribution of, for instance, work place exposure to ETS is,
is quite misleading in terms of interpreting work place
exposure ten years ago.
And so I think we have to be very, very cautious in
using Z-factors established today to interpret prior ETS
exposure which would be relevant for chronic effects such as
lung cancer.
DR. LIPPMANN: Can I explore something else you
brought up? And since your expertise is clearly in animal
toxicology, I think it's relevant.
I had been struck over a long period of time with
how ineffective mainstream smoke is as a respiratory tract
carcinogen in rodents. The only study the EPA document could
come up with produced laryngeal cancers in golden hamsters.
And so certainly the absence of established carcinogenesis in
animal models with ETS is by no means surprising if
mainstream smoke hardly can produce it at all with the
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conventional laboratory tools. One wouldn't expect ETS to do
it, and clearly, very few studies have been done, which
further convinces us that it's unlikely that you would get a
positive animal response.
So, in a sense there's a concordance, a coherence,
again between the lack of response in those few ETS studies
which have been done and the very large body of hundreds of
thousands of poor little rodents who have been sacrificed to
mainstream smoke studies. Would you comment on that?
DR. FLANIIK: Well, what you say is a fact. There
are no good animal models that have yet been developed for
mainstream smoke that I'm aware of. I haven't seen them if
they have been developed. But I think that is not
inconsistent with the statement that there isn't supporting
animal data here.
But I think also we would agree that we have very
little understanding of what the dilution factor is of the
substances that are really of interest to us.
DR. LIOY: One point. We keep talking about
dilution as if this is a constant mixture, and I think it was
established yesterday that this may not be a constant
mixture. That there's going to be changes in composition.
So.I would refrain from using the word "dilution" as a model
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between mainstream and ETS. In some cases you'll have
enhancement. In other cases you'll have decreases in the
chemical composition, individual components of the chemical
composition.
DR. LIPPMANN: Well, one last comment, and we'll
move on.
DR. LeVOIS: Dr. Flamm, you brought up the
comparison between the electromagnetic fields and
environmental tobacco smoke. I would like for you to
comment, if you wish, on the biological plausibility of these
two.
DR. FLP,NIlM: Well, I think the biological
plausibility of electromagnetic fields has been looked at
fairly carefully by some physicists, and I think it's very
difficult to construe a relationship to those factors such as
DNA damage and other cellular damage that we would associate
with either the initiation of carcinogenesis or the
carcinogenic process..
With tobacco smoke, currently there is information
concerning animal carcinogens. There is, on the face of it,
a greater, clearer plausibility except we really know so
little about mechanisms. We know so little about what
components are really of interest that while on the face of
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it there is the greater plaueibill.ty, what that really
amounts to I think still eludes us.
DR. LIPPMANN: Thank you very much. I dppreciate
your comments and your response to bur questions. We'll
resume our review of the documents, but prior to that, we're
glad,to see our two additional members join us today. They
both were working for the SAB today on other indoor air
issues, and are now available to partivipate in our
conterenoe.
I'll ask each of them to.introduoe theiajelves and
then go through the soul-bearing that we have come to do on
this Committee in terms of responding to the quidslines on
disolosure of potential conflicts of interests. Dr. Larson.
DR. LARSON: Thank you. It'd nice*to bohere
today. My name is Tim Larson. I'm from the University of
Washington. I currently am not doing any research in the
area of environmental tobacco smoke, nor am I revaiving any
grants from EPA on the subject. So I don't construe that I
have a vested interest-in this subject - a oontllot of
interestt excuse me. I just have a general long-standing
interest in the subject of air pollution.
DR. LIPPMANN: Thank you. Dr. Woods.
DR. WOODS: Thank you. I also am glad to be here
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Ir-33
this morning and to be able to participate in thiO
conference. I think we'll make it a rather long week as.far
as review is concerned. I have a statement that X believe
Mr. Flaak will have available. It's similar to the one that
I presented in December of 1990 at the review of the first
document.
one difference is that since I was yartipipating in
an 6AH conference review for the previous two daye, it's
probably a little more comprehensive than it needs to be for
this, but I thought I'd just write one and just d6al with it.
I'm a professor of building construotion at
Virqinia Polytechnic Institute, the state university. I've
been there for about three years. Previously I was at
Honeywell Corporation, where I was responsible for the
investigation of buildings around the country. 8efore that,
i was a professor of mechanical engineering and arChiteoture
at Iowa State university. I am a registered engineer.
In addition to my teaohing, since 1973 I:have been
involved in some consulting work, including design engineers,
architeots, insurance companies, attorneys, utility
companies, state agencies. There's a long list, including
some work with EPA. In 1990 i served on an engineering
review panel on which indoor air quality engineering researoh
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programs were reviewed.
I received a fee for about two days of service and
travel expenses. Otherwise, I have not received funding from
EPA except for services on the Science Advisory Board.
Currently I am a member of three scientific or
professional societies for which I serve without fee; the
American Society of Heating, Refrigerating, and Air
Conditioning Engineers, the International Society of Indoor
Air Quality and Climate, and the American Society of Testing
and Materials. I've just retired as a member of the Building
Research Board of the National Research Council this month
after completing the maximum six-year tenure.
I'm also a member of the Indoor Air Quality
Technical Advisory Committee for the American Lung
Association. I have been so since 1987, for which I serve
without fee but am reimbursed for travel expenses.
I have served as a peer reviewer of research
proposals for the Center for Indoor Air Research from 1989
to
1991. During that time I reviewed nine research proposals in
three cycles, and received an honorarium of $100 for each
proposal reviewed.
I became a member of CIAR's Science Advisory Board
in 1992, and in this capacity have met once with the
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Committee to review research proposals. An honorarium of
$800 a day and travel expenses were received for that
meeting.
At Virginia Tech I'm involved with the development
of a research program on indoor environmental control. The
program was announced in January of 1992, of which I'm the
director of the program. We're currently focusing on three
technical aspects; ventilation effectiveness, dilution and
removal control strategies, and building economics.
So far, Virginia Tech has committed more than
$300,000 of its resources to construct a research and
demonstration facility to support this research. In
addition, we've received funding from industry, including
Union Carbide Chemical and Plastics Corporation. We've
received approximately $600,000 over the last two years to
investigate air cleaning technologies for the removal of
gases and vapors from indoor environments. We anticipate
receiving a continuation contract this fall from them.
We have a research contract with Philip Morris. We
received funding last year from $1.2 million, which was
broadly mentioned in the press, to study alternative methods
of air distribution for improving indoor air quality control,
including environmental tobacco smoke in office spaces.
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In addition to the newly-constructed research and
demonstration facility, the cost of which is included in this
contract -- it's a Phase II of the building -- the addition
has been designed and is being constructed as the primary
site for this investigation. We anticipate receiving a
continuation contract of approximately $500,000 this fall.
We also have funding from Interface Chemical
Corporation and Porter Paint researching mitigation
techniques of antimicrobial agents.
We have a small amount of funding from the United
Technologies Corporation, in which we're studying the
validity and reliability of several field survey forms to
investigate human responses to indoor exposures.
We anticipate funding from both the Electric Power
Research Institute and Johnson Controls.
With regard to communications or correspondence,
the only thing I've received in addition to the package of
material that I believe the whole Committee received from Bob
Flaak, is I received a letter from Carol Thompson on 13 July
1992.
I'm currently involved with one consulting project
that might be perceived to bear on reviews with this
Committee. In June 1992 I was deposed as an expert witness
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11-37
in a case involving the indoor air quality exposures of EPA
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employees at the Waterside Mall, which i:t the U.B..EPA
Headquarters.
To the best of my knowledge, this is a odmplete
disolosure of my activities that might be perceived as a
potential conflict of interest in the review of thi subject
documents.
DR. LIPPMANN: Thank you. There seems to be a lot
of interest in vr. Woods' activities and how it influences
participation on this panel. I regret it took so much time
to go through it, but if anybody wanted to know what the
potential was, it,s been laid out.
In that regard, I've been.advised by me4ers of the
audience that there's an interest in the potentidl:oontlict
of interest of authors of the parts of the EPA dooument, and
this morning I ask Dr. Bayard to briefly tell us something
about how he selected people to help him put the document
together and how he dealt with potential bias or oynfliot of
interest among the authors.
DR. SAYARD: Why is it when you always ibdress me,
I always think my last name is "briefly"?
(Laughter.)
0
DR. BAYARD: The two authors from EPA: X am one ~
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and Ms. Jinot is another. We have received no money from
either the anti-tobacco -- the anti-smoking folks or the
tobacco folks, and, indeed, receive only minimum wages from
EPA.
(Laughter.)
DR. BAYARD: Most of the work here was done under a
contract from ICF Incorporated. I don't know ICF's
connections with the industry or with the anti-smoking
people. However, all the-authors were subcontractors to ICF,
and I do know their connections.
The major author, Dr. Brown, has no financial or
other interests that might be construed as a conflict of
interest. Dr. Fernando Martinez also has none. Neil
Simonsen at North Carolina, I am assured by Dr. Brown, also
has none. Dr.'Wells, who like Neil Simonsen, is a
subcontractor to a subcontractor, Kenneth Brown, tells me
that he is a volunteer for the American Lung Association and
receives no compensation from them. Brian Leaderer from
Yale, do you get any money under the table?
(Laughter.)
DR. LEADERER: I could say something about current
research and funding that might be useful to get into the
record. I'm currently a co-investigator in an NIH grant
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11-39
looking at environmental tobacco smoke exposure and pregnancy
outcome. Currently I have an additional grant from the
Environmental Protection Agency in looking at the
characterization of organic emissions off of materials and
human sensory responses to those emissions.
I participated in the -- was the principal
investigator in the EPA Library of Congress Symptom Study in
the offices there. In the past I've done work for EPA on
assessing emissions from environmental tobacco smoke in
controlled environments, and some work in assessing
concentrations of respirable particulates in nicotine in home
environments.
I've served on a National Research Council
committee on passive smoke exposure and health effects. I've
served the Health Ministry of Canada on an advisory committee
for health effects of exposure to environmental tobacco
smoke.
I think that exhausts the list. I didn't come
prepared with a detailed list, but I certainly will be happy
to
DR. LIPPMANN: I think that will suffice. Thank
you, Brian.
DR. BAYARD: I have one other addition. On the
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V-1
previous draft, one of my authors, Dr. Thorsl$nd, disclosed
to me -- and I disclosed this to the Committee the last time
-- that he had done some work for the law firm of defending
in the Rose Cippilone suit. So he had done some work
indirectly for the tobacco industry, but we used his material
anyway.
DR. LIPPMANN: Let's now turn to reviewing of
Chapter 3. I'll throw the first one back to Daisey.
COMMITTEE REVIEW OF CHAPTERS 3, 6, AND 8
CHAPTER 3 - ESTIMATION OF ENVIRONMENTAL
TOBACCO SMOKE EXPOSURE
DR. DAISEY: There was a good deal of work that was
done on epidemiology, and the epidemiology chapters I thought
were quite comprehensive and a very substantial improvement
over what we had seen in the first draft. So I was very
favorably impressed by that.
Relative to that work, I found Chapter 3 to be
something of a disappointment. I'll give you some specific
examples.
One is the entire discussion of physical and
chemical properties is really less than a page and a half and
it doesn't really bring forward some of the more recent data.
Not to say that length of presentation necessitates quality,
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but it really didn't seem to address things in a relatively
comprehensive way. In the discussion, for example, of the
particle size distributions, figures are mentioned, but their
significance to the exposure; that connection wasn't made
explicitly. It should have been made. There should have
been another sentence or two.
More critical in this chapter is that there are
data presented, and a major theme of this chapter is the
chemical similarities of ETS -- actually sidestream smoke --
and mainstream smoke -- and I do not think they adequately
support the conclusion that the two are chemically similar.
I mean, they may be chemically similar; I think there are
other reasons for thinking they're chemically similar, but
the data that are in there, speaking as a chemist, they
simply don't make the case.
If you look, for example, at the table which is
really taken from the NRC report on the specific compounds
that are in there, le$s than ten percent of the mass of the
particles is really accounted for. And I find that a serious
defect.
I did spend some time trying to see what kind of
data were available. Can I just show a transparency?
DR. LIPPMANN: Sure.
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DR. DAISEY: This is the kind of information I
think you need to make the case in a sound scientific way
that the overall composition of mainstream and sidestream
smoke are similar.
And I put this on as an example. This is taken
from some work EPA has done on cigarette smoke condensate,
coke, oven and roofing tar. Basically they've fractionated
these mixtures into some broader classes. And you can see
that there are some areas -- they're not all that similar.
Nonetheless, each of these is a combustion mixture,
and each of these mixtures in animal skin-painting tests has
been shown to induce tumors. And I think that's important,
that combustion mixtures that we have tested have been shown
to be tumorigenic in animals, but it's not necessarily a fact
of inhalation.
I spent some time trying to see if this kind of
data were available for passive smoke. As far as I can tell,
they're not. Now, I contacted Joellen Lewtas, and she said
they had tried to get some support to do that kind of work.
They didn't get it.
I did talk to Dietrich Hoffmann who, of course, is
a well-known expert. He did some very pioneering work on
cigarette smoke condensate using sort of the classical
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methods of fractionating things. He said to his knowledge it
hasn't been done.
So that we issued in -- now, I'm not saying I've
contacted everybody whom I haven't. There
may be unpublished
data that we simply don't know about. But I think that this
is what you need to have to make the statement that the two
are chemically similar. I don't think ten percent is enough.
That's not to say you can't make a case of
combustion mixtures having carcinogenic properties and
containing carcinogens. All of the ones that we know about
have these kinds of properties. And certainly passive smoke
has carcinogens in it. There have been some animal tests
that show -- even toxic effects.
I think this has to be addressed in some way, and I
think that chapter has to be modified because it simply is
not correct scientifically to say that it has been shown that
they're chemically similar.
That also brings you to an issue of what you mean
by "chemically similar," which is not so simple to discuss.
And since I think you can't address it anyway, perhaps we
don't have to consider it.
But in a broader sense, the chapter often talks
about sort of vague quantitative terms, that there are
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11-44
differences between mainstream and passive smoke. But you
don't get a sense of how big they are in statements like
that. I mean, there really is a difference. If you're
talking about differences of a factor of 20 percent or 2 or 3
or 4, that's different than a factor of 100 or 1,000. And
that's one of the places in -- I think those kinds of things
have to be refined in this chapter so that you have more of a
sense of the magnitude of those differences and the
magnitudes of similarities where they are there.
Dosimetry was brought up earlier, and I think most
of this Committee is agreed that it is very difficult to do
dosimetry, a comparable dosimetry, for mainstream and
sidestream smoke because there are so many factors that go
in. It may be a topic for research, but at this point in our
scientific knowledge it just is not a simple thing that you
can do, and certainly cigarette equivalence doesn't really
seem a reasonable way to approach the whole thing.
There are numbers in this chapter in which the
number is -- for example, there's a graph of a regression
line for RSP versus nicotine measured in homes, which I think
is some very important data. And the slope is given as 10.8.
But there should have been some estimate of the uncertainty
in that slope because they are scattered on the data, and I
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think we need to recognize how large it is. That may not be
in the paper, but certainly the author could provide that I
think. And I think that's important to get in there.
And there are some other numbers like that where
,
there are averages reported, but there's no confidence
interval in it. So the quantitation and the sense of how
large a magnitude of uncertainty you're talking about I think
needs to be refined in the chapter.
In terms of the exposure data, I think that was not
as up-to-date as it could have been. And I'm a little bit
puzzled because there's a new book out by Mike Guerin which
has done a fairly comprehensive job of pulling together all
the newer -- well, and the older -- measurement data. And
for example in the measurements in office buildings, there
are many more measurements in office buildings that are noted
here. The one in particular that I'm aware of was one that
was done at LBL, and it did not get into the peer-reviewed
literature. It is an,LBL report, which means it's been
internally reviewed by three scientists who were not authors.
And that one is cited here, so I guess you can find it in the
abstract.
I think that
one is important and interesting
because it's 40 office buildings and multiple sites; smoking
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and nonsmoking, indoor and outdoor, and they measured
respirable particles, and they measured polycyclic aromatic
hydrocarbons in those books.
I think one of the most interesting things is that
the difference in respirable suspended particulate matter
concentrations in -- the difference between smoking and
nonsmoking areas in terms of the geometric mean concentration
was 29 micrograms per cubic meter. It's identical to
residences, which I think is fortuitous, but it's also
certainly of the same order of magnitude.
There is a statement made in there, and I think I
have that in my detailed comments, the basis of it, that the
concentrations in offices are lower than in residences. It
may be that your exposure is lower, but there's no reason to
think that the'concentrations are lower. I have not seen
data to support that statement, so I think that has to be
modified.
I did bring,up the business of the cotinine, that
there were two cotinine studies mentioned in Chapter 3, but
the ones that were used for background corrections were not
discussed in Chapter 3. And I think we need to modify that
and look critically at the sampling and analysis aspects of
those to make sure there are no problems with it.
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Nowhere in the report was there any mention of the
dietary exposures. And I think that, while maybe you'd like
to sweep it under the table, there is some evidence that
there are dietary exposures to nicotine, and that would
influence the cotinine levels, and it probably influences the
lower end of the tail and nonsmokers. And I think you simply
have to consider that and discuss it and address it in some
way.
Those are my major comments. There are some
specific comments as well.
DR. LIPPMANN: Tim.
DR. LARSON: Thank you. Well, I'd like to second
what Dr. Daisey said'about the fact that I would have liked
to have seen a more complete argument about the similarities
and differences between the two different smokes that seem to
be discussed a lot here. And so I would agree and would
encourage that.
It seems to,me that independent of that argument,
you still are left with the question of simply demonstrating,
I think, reasonably well whether or not people have been
breathing air that passed recently through a cigarette. And
in that regard, I think, again, I would agree that the
correlations that were presented between respirable
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particulate matter and nicotine are very important ones and
should be emphasized.
To that end, I noticed that in the Table 3.1 that
was presented in the draft, there's no nicotine in the vapor
phase constituents, at least that I could find, but that in
fact in sidestream smoke we're led to believe that that's the
major chemical form, physical form of the compound.
And so when one looks at the ratios of nicotine to
3-ZS
particulate matter in Table 3.1 on page 3-21-5, you've got
numbers that can reasonably be construed to be 10 to 1, such
as are the slopes of figures that were mentioned at the end
of the chapter. But that doesn't square with the fact that
the statement is in there saying that sidestream smoke is 85
percent or more in the vapor phase. So somehow that has to
be addressed. 'It seems to me that it's -- I don't know quite
how that's resolved.
But to that same point, when one looks at the data
presented in Figures 1.5 and 3.6 on pages 33-3,6 and 33.7, again,
in my own mind trying to see how consistent that ratio is,
which is impossible to do without looking at all the data --
but when I just look at maximum values or median values in
these datasets, in some of these environments it seems that
something in the order of 10 to 1 micrograms of respirable
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11-49
particulate to microgram of nicotine seems to be consistent
with that dataset. And in another cases, especially for
maximum values, those ratios go up to 20 or 30 to 1 or
higher. And I don't know to what extent it's important to
establish a consistent set of ratios within and between
locations.
But I think that the argument is centered on the
fact that these are measurements of air -- indicators that
air has passed recently through a cigarette, rather than
being a chemical statement about other properties or tracers
or whatever -- trace properties, you know, compounds we don't
really fully know about.
I think that that's really the more important
issue, and so some strengthening of that whole discussion of
the relationship between those two apparent important markers
would be, I think, appreciated.
I have a number of specific comments, and I will
include those in my written comments, and I will say that I
agree again with Dr. Daisey; you may never be able to prove
the equivalency on great detail, and so I think you're left
with trying to establish some consistent correlations between
specific tracers of interest. So I would hope that you could
emphasize that part. And I would, again, to that end, say .
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it's important to talk about the balance.
In the summary on page 3- Z , I guess it's a somewhat
picky point, except I just listened to some statisticians
talk about nonparametric models recently at a seminar and
they made the point that you assume linearity in your model
and then you fit the data to it. So really, the statement
that says that indoor levels of RSP and vapor-phased nicotine
have been shown to vary in linear fashion with tobacco
consumption -- I think it's a picky point, but it's probably
more correct to say that assuming a linear relationship has
been shown not to be inconsistent with that. You haven't
really done a study to show what the functional relationship
is. At least I don't think you have.
I'll submit my detailed comments. Thank you.
DR. LIPPMANN: Dr. Hammond?
DR. HAMMOND: I think, again, that this chapter
reflects what I mentioned yesterday about the problems of
different authors of different chapters not being fully seen
together.
As the title suggests, the chapter focuses on the
estimation of exposure to environmental tobacco smoke, and
comparison, environmental tobacco smoke and mainstream is a
relatively small part of the chapter.
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Overall, the rest of the document relies on this
chapter predominately for that, to present the similarities
of mainstream and environmental tobacco smoke. And so that
leads to some problems that have been mentioned earlier. So,
I think that the estimation of exposure has been done in a
very interesting way, and there's been a lot done there. But
I think the smaller emphasis will have to be expanded to
support the rest of the document.
I would suggest adding on page'33 in the last
paragraph, among the differences between mainstream and
sidestream, they're attributable also to the differences in
the concentration of oxygen -- it's about 16 percent
mainstream and 2 percent in sidestream -- so that the
sidestream-generating environment is much more reduced in the
mainstream. And that, of course, affects the distribution of
the compounds that you get.
I think that there are ways to strengthen the
discussion of the chemical similarities, even if one may not
be able to -- as Dr. Daisey said, it's very difficult to say:
What does it mean? What is the test for chemical similarity?
And it may be true that only a small fraction of the
compounds in ETS have been identified, but it looks to me
like a lot of emphasis has gone into those compounds which
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have been identified in mainstream and identified as toxic or
carcinogenic.
So one would say that the energy has gone to what
one would like to call the most important compounds, you
might say that. So that could be discussed a little bit.
For example you could say that -- I don't know the right
number -- of the X identified carcinogens in mainstream, Y
are also present in sidestream, and Z are emitted in greater
quantities in sidestream than in mainstream. That type of
discussion could be helpful I think.
And if it's true -- and I didn't try to establish
this -- but if it's true, one might be able to say that most,
if not all, of the carcinogens that have been identified in
mainstream are also present in sidestream, and what
percentage are in higher concentrations.
Within Table 3.2, virtually all of the five known
human carcinogens, the nine probable human carcinogens, and
three animal carcinogens, are listed -- are emitted in
sidestream and then almost all of them are in higher levels,
emitted in higher levels in sidestream. Now, I understand
that that's diluted. That's another issue. But in terms of
the similarities of smoke, I think that we need to focus on
what are the critical similarities.
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II-53
Basically, that's what I would add to the other
comments on the composition.
in terms of looking at markers for environmental
tobacco smoke -- thisis getting one of the charge questions
as to how well those were addressed -- there are Meveral
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possible markers mentioned. Two of them, respiral~le
particles and nicotine, are discussed most fully, probably
because those have been used the most widely. Some of the
others, the disadvantages are mentioned, and for ipthers they
are not, and perhaps that might be included to extend that
discussion.
And I think that there maybe needs to 1rie a little
more discussion of some of the uncertainties relitd to the
two markers that are discussed the most. For instance, the
respirable particles; there are other sources in the
environment. That the background RSP might vary*from
environment to environment so that in low smoking levels RSP
attributable to ETB is very difficult to determine directly.
And estimates of ETS in these situations would be unstable.
Conversely, ETS is the only source of rticotine in
most environments, so that that's not the.probl.o*. The major
limitations of vapor-phase nicotine that ore repQrtod in the
literature include deposition onto surfaces more,quickly than
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other components of ETS, and also that it's re-emitted from
these surfaces. On the other hand, the successful use of
these two markers in field studies argues that these
uncertainties are relatively small.
And I think that the wide range of environmental
tobacco smoke concentrations that are reported in human
environments where smoking occurs and which are reported in
the table are also very important. If we're looking at
several orders of magnitude variation exposures, and
typically there are two to three orders of magnitude that
you've demonstrated here, then perhaps -- of these other
uncertainties might be less important, but they should be
described and quantitated, as Dr. Daisey mentioned, so that
could help the interpretation and understanding of other
criticisms of that.
With regard to biomarkers, cotinine and nicotine on
body fluids have been discussed most extensively because
those, again, are the.most commonly used. I think that there
-- well, actually, I had the same comment that you had about
that the dietary sources do need to be mentioned because
those are brought up often, and they may be important,
especially if you have later in the document where the
background corrections are discussed. And I'll be mentioning
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this later as well. But I think we need to have some
understanding of to what extent dietary contributions might
exist. Do they account for a large percentage or a small
percentage of nonsmokers' urinary cotinine? Thank you.
DR. LIPPMANN: Dr. Eatough, you have a comment?
DR. EATOUGH: Yes. Many of them have already been
mentioned, but let me just amplify on a few points. I think
the chapter needs to really serve two purposes, and certainly
right now it does a much better job of serving one of those
purposes than the other. And that is, as it's tied to the
rest of the document, it needs to establish the chemical
composition. There have been a number of comments that have
been made relative to that.
One additional point that I thought I might make is
that there is a lot of variability in the ratio of various
components between mainstream and sidestream smoke, and yet
the direction of that variability is very well defined. And
at least for both the,chemical characterization and the
toxicological data that I'm aware of, all the inferences are
that sidestream smoke is going to be expected to be more
potent per unit of exposure than mainstream smoke. That
establishes a sign of what you expect to be the result of
what's going to happen due to exposure to environmental
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tobacco smoke.
And I think that there needs to be a point made of
that. While you've got a lot of uncertainty in establishing
the cigarette equivalent association, at least on the basis
of the material to which you're exposed, there is a direction
that you expect that relative toxicity to take based on the
available data.
There also is a suggestion, based on the wide
variability in the ratios-that you see, that in fact the
emissions are highly variable. And in fact, if you look at
the data -- and I think Mike Guerin makes quite a strong
point of that in the paper here, the book that Paul referred
to -- much of the variability and the ratio of sidestream to
mainstream components is controlled by the variability in
mainstream smoke and not by the variability in sidestream
smoke, and that in terms of there being a constant material,
sidestream smoke is much more well defined than mainstream
smoke for which we have a lot more epidemiological data. And
of course, that results mainly from the fact that attempts
have been made to alter the composition of mainstream smoke
in the production of the cigarettes themselves.
I think that a stronger point could be made of the
fact that in fact in many ways sidestream smoke is better
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defined than mainstream smoke. It is a point that I think
ought to appear somewhere.
A couple of other comments. The second -- of
course, that's the whole purpose of trying to establish a
database that you can make reference to when you talk about
the plausibility arguments. The second purpose that the
chapter serves is helping to identify how well source
apportionment can be made based on the use of specific
markers.
I have a couple of comments that I'll come back to
again as we talked about the risk assessment, but there are a
couple of areas where I think the chapter could be
strengthened. I think there could be more quantitation that
puts some perspective for what we expect to see as more
typical exposures, the relative importance of environmental
tobacco smoke respirable mass versus others. The difference
is talked about, but that difference is not put in
perspective to the va;iability of other sources. And I think
that might be worth doing.
I had some problems in knowing for sure that I knew
how to use the figures that are given in the back for
prediction of expected concentrations of mass from ETS
because as I went through them to try and produce a number
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that I thought I ought to expect to see, I ended up with
figures that were factors of 5 to 10 higher than I expected
to predict from the figures. I don't know if that reflects a
lack of my understanding on how to use the figures, or some
inherent problem. But that's something that may want to be
looked at.
Another area where I think the chapter could be
expanded is that while the emissions from sidestream smoke,
which make up for the majority of environmental tobacco
smoke, are really fairly constant, there are very significant
changes in the relative composition of environmental tobacco
smoke because of some of the effects that have been talked
about.
Those are really quite well understood. There's a
lot of data related to the relative rates of losses of
nicotine and other components of tobacco smoke that affect
how conservative or nonconservative it might be, and in fact,
at least -- and I'll *ake some comments when we get to the
other chapter -- my expectations are that most of those
changes will lead us to an underprediction of exposure,
rather than an overprediction of exposure. I think that at
least to give the sign is predictable and something should be
said about that. .; Ln
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I had another thought that I kind of lost as I was
going in connection with the exposure estimate. I've lost
that thought, so if I think of it again, I'll come back to
that again.
There is one other area that I think is maybe a
small point, but one that we ought not to lose sight of,
particularly as we begin to try another -- when you look at
the background correction, you have to make some assumptions
then about what environmental tobacco smoke looks like at
lower concentrations. And we uniformally make the assumption
that nicotine is dominantly present in the gas phase.
In fact, there is really not any data related to
that question. The great bulk of the data that show clearly
that nicotine is in the gas phase all come from measurements
of diluted sidestream smoke with relatively little alteration
in that diluted sidestream smoke.
There are very few measurements -- and then those
assumptions have generally been used then to move from there
into broader measurements. But there are really very few
measurements that use techniques that unequivocally tell us
what the distribution is that have been made in environments
that are typical of low exposure, which of course is the
background correction that we try to make. And the few data
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that do exist suggest that there is much more of the nicotine
that is not in the gas phase than one would expect based on
the diluted sidestream measurements, and that, again, will
affect our interpretation of the data.
I think those are issues that we at least need to
think about and address as you make estimates of what's going
to happen to the conservancy or nonconservancy of nicotine as
a marker. It certainly is the marker of choice for the data
that we currently have available.
Those were some of the thoughts that I had as I
went through the chapter.
DR. LIPPMANN: I guess the evidence that it's in
vapor phase is that passive samples for nicotine have
collected and they could only collect vapor.
DR. HArIIMOND: Right. In fact, I've collected side-
by-side active and passive samples in the field and seen
similarities. It may not be true in all situations, but I've
done it in several pl4ces and found that as long as the
concentration is high enough that the passive sample in a
short time and can respond -- I mean, that's often a problem
-- but given that you've got your minimum levels, then I see
good comparability. I'm not sure that's true in every
situation, but in most of the situations I've tested.
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DR. LIPPMANN: Dr. Leaderer, you've been dumped on
a fair amount. We'll come back and get you, but we also need
to recognize that we're looking at a first draft on this
chapter, as compared to a second draft. So whereas the other
chapters have been cleaned up a lot of the initial problems
that one has, we are looking this time at the first effort.
It's also I think clear to me that perhaps the
charge to you in preparing this may have been less than ideal
in that the critical dependency of discussions in other
chapters on this may not have been apparent to you, and you
may not have anticipated the uses to which this chapter would
be put in the rest of the document.
DR. LIOY: I think that's a very good point. I
think that was my first point with Bryan, is the fact that
this is the first draft, and having been through this process
with other pollutants and being the author of a chapter
similar to this, the same issue comes up every time, you
don't have all the data and it's clear that it's a massive
effort.
I would make a major suggestion that this book here
by Guerin is something you should have and use in dealing
with your revisions because I think it's quite valuable, it
has quite a lot of information, and it can fill in some of
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the gaps that have been suggested by colleagues on the
Committee.
I'm a little taken aback by Dr. Daisey's need to
see that there is an equivalency established, or even
considered, between mainstream and sidestream smoke, and I
don't think that's the major point.
DR. DAISEY: No, no. I'm saying --
DR. LIOY: Let me finish my point.
DR. DAISEY: I'm saying it hasn't been
demonstrated.
DR. LIOY: You didn't qualify that, and I'd like to
qualify that. And I think that Dr. Eatough made a very
important point that in terms of the positive direction of
sign -- which is my concern at this point -- it's clear by
just looking over the data in Guerin's book over dinner the
other evening and reviewing Table 1, it's clear that the
ratios are all much higher; in some cases dramatically higher
for some of these compounds.
And that is an area that you have to consider in
your revisions and make some deliberate comments in that
regard in terms of the nature of some of the carcinogens and
what it has in terms of meaningfulness for support or
rejection of some of the hypotheses in Chapter 4.
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Y think an important point that has to-ki:e made is
to look at the introduction of 4.1. It's the firect
paragraph. The statement that's madv in the midQle of the
paragraph that you have to either support, accept; reject or
modify that statement in some way, shape or form 8o that we
can move forward in Chapter 4 with discussion -- ¢11 right?
-- because right now I think it's ambiguous, and I think the
supporting arguments in Chapter 3 right now are etdbiguous.
Again, it has to do with the fact that there's some
interpretation that has to provide us with a database.
I think another issue that was brought up this
morning -- and I'm not sure if I agree with my colleague from
Massachusetts down there that it's irrelevant -- it's the
issue of where particles deposit in the lung -- I think is
very important in whether or not we histologically know the
exact location of the cancer. It's still clear to me that
when you have differences in particle size distribution and
where they deposit, it!s important to consider it and at
least put it out on the table as a scientific erqument, and
the plausibility of that argument, and prepare the
discussions of the nature of the health effects.
We can debate about how people read siids and
pathology, but I think it's clear from a lot of work that's
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L'G'~.n~1n»S
done in Dr. bittvn's laboratory and other laboratories around
that world that there are differences in where particles
deposit, and size distribution has a significant effect. And
depending upon the chemical composition of those particles,
there may in fact be an enhancement or a decrease in the
carcinogenic potency of those particles.
I think, Bryan, that's something you have to deal
with rather directly in this chapter because I think it's not
a side argument, and I think that you didn't deal with it
directly. And I think you have to deal with that rather
directly in your discussions.
I think my final point, although I have a lot of
little ones, and I think it's a major point, is that I'm a
little surprised that you still -- that you made the mistake
of misdealing with exposure and concentration. Concentration
and exposure, as you well know from all your work, it's
concentration time. And I think some of the figures are
misleading in the sens,e that it shows concentration
distributions, but it doesn't show exposure distributions.
I think it would be well worth some effort,
especially in terms of some of the statements that are made
in the other chapters about the importance of the spousal
smoking, that issues of exposure are dealt with, as well as.
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11-65
concentrations, because I think they're important, it shows
the magnitude of the possible dose or at least the potential
dose to the lung, and I think that issue has to be laid out
clearly in this chapter so that it can be used again in
arguments that are directed toward Chapter 5 and Chapter 4.
Again, it has to do with completion, and I think a
lot of information is here, but I think it has to be more
crisply stated and stated in such terms that are clear to me
what exposure is versus what concentrations are. I mean, I
don't like to see them like mixed up in this particular
chapter.
I think those are my main comments.
DR. LIPPMANN: Dr. Wesolowski?
DR. WOODS: It's Jim Woods.
DR. LIPPMANN: Oh, I'm sorry. Jim Woods.
DR. WOODS: Thank you. First of all, I am very
pleased to see the Chapter 3 in here from the first draft to
this draft. It helps.a lot, I think, to be able to have a
chapter that's devoted to the characterization of
environmental tobacco smoke.
I guess there are a couple of things that bothered
me in the chapter, though. One is -- and this is probably
true for most of the chapters -- I keep looking for an
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objective of the chapter. And in this particular chapter, I
agree, I think, with Dr. Eatough or Dr. Lioy that indicated
that the purpose of the chapter needs to at least link to the
other chapters. It needs to give a rationale for why certain
methods of analysis were used in the other chapters. And I
would look for that really in the first or second paragraph.
I'm still bothered that there is some confounding
or confusion. I'd like to see it brought more forward in
distinguishing between environmental tobacco smoke,
sidestream and mainstream. And then we get the term "passive
smoking." This whole thing needs to be clarified, I think,
and this is the chapter that that type of definition needs to
be brought forward.
The environmental influences of environmental
tobacco smoke I don't believe are characterized to the extent
that they should be. For example, the influences of
temperature and humidity, the impact that that may have on
the particle size distribution of sidestream smoke may be a
factor, especially when you begin to deal with the aging
factor of the ETS.
So those types of characteristics I think need to
be brought forward and really clarified in this chapter.
The other is, I think that a direct linkage of the
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information that is being presented in this chapter to where
you'll find it in the other chapters ought to be developed.
For example, I think it was on one of the biomarkers -- I'm
not sure that the 4-ABP is really used very much in the other
chapters.
DR. DAISEY: But it's important.
DR. WOODS: Yes. You bring it up as a very
important biomarker. So if that's important, we need to get
this cross-linked, I think, to the chapters.
I've got a couple of things I wanted to bring up,
but the other major point is in modeling. In the section on
modeling you introduce two types of modeling; the statistical
modeling, which I believe basically is used in the other
chapters; but the rational modeling, or the physical
modeling, you're presenting, but it's not used very much in
the other chapters. And I think that there's a real power
that we've lost in not being able to use the modeling
effects. ,
Also the information that's in here is broad-based,
I think, from the standpoint of different types of
environment settings: restaurants, offices, residences, et
cetera. And I think, again, that needs to be more clearly
linked. But from an assessment standpoint, I don't believe .
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that that linkage is made as well as it should be.
Almost everything that we're dealing with, I
believe, in the subsequent chapters focused on residential
exposure. And we need to think in terms of other types of
exposure. Now, for the preschool children, that obviously is
not a related factor, but for other populations, I believe
it's a factor.
Now, with regard to modeling, the problem I have
with this -- and I was really surprised at how weak that
section is with regard to what's known in modeling -- I think
a serious critical review of the models that are available in
the literature need to be brought forward here. And some of
those are very comprehensive models. Some, Brian, I know
you've dealt with; the modeling that was done, for example,
in aircraft cabins, et cetera. There's some rather
sophisticated modeling that can be brought to bear, and that
needs to be critically reviewed.
I think the.one equation that's in here is an
empirical equation that's not validated, or not well
validated, and yet it's not used anywhere else either. So I
think, again, in this modeling concept that that aspect --
either drop the modeling, or the rational modeling, because
it's not going to be used. or if it's going to be used, then
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use it.
I guess the nit that I wanted to bring up is on
page 3-8. I may be just misreading this, but I can't make
the text in Table 3-3 and Figure 3.1 agree.
DR. HAMMOND: I spent some time on that. I think
the numbers are reversed. If you check, they do agree.
DR. LEADERER: Something was lost in the
transcribing.
DR. WOODS: Okay. That was the first problem. The
second problem is I can't get the value of the increment of
28 micrograms per cubic meter out of Table 3.2. I can't find
how you get from here to there.
DR. LEADERER: That was reported in the paper, in
publication itself, as the estimate, without giving the
details of how that estimate was arrived at.
DR. WOODS: But what that's basically -- if I look
at Table 3.3, page 328, you're showing these ETS as 28
micrograms per cubic meter.
DR. LEADERER: No, that's another subject.
DR. WOODS: I'm looking at the right-hand column.
The second entry down. Now, is that 28 as compared to 0 or
nonexposed?
PARTICIPANT: That's 28 over and above the
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background --
DR. EATOUGH: You get that number, I believe, from
Figure 3.1, the distributions is where the number 29 comes
from. It's the 50 percent cumulative percentage, the
difference between nonexposed and exposed.
DR. WOOD: Okay. But the problem is that in Table
3.3 that looks like an absolute value. It looks like it's
just a concentration and not a difference.
DR. LARSON: Is it the difference of the mean, or
the mean difference?
(Simultaneous conversation.)
DR. WOODS: I guess it just needs some work, I
think, to clarify that because compared to the other values
that are in here, I'm not sure of those differences. There's
something that's not quite right, I think.
I guess the other thing, on questionnaires, I felt
that the literature review on that was rather weak, and I
think there's additio0al work that can be done on what
questionnaires are out there. I know there are a few that
were not cited in here, and especially some critical review
with regard to the validity of reliability of the
questionnaires that are being used I think needs to be in
this chapter. It's the only place that I think that we get.
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stuck up front that is going to link back to the chapters,
and I think it's important.
PARTICIPANT: Oh, absolutely. There's no question.
DR. LIPPMANN: I guess Mike wants to add his
comments. I'd be surprised if he didn't.
DR. LEBOWITZ: Well, I was going to say that based
on what I know of the high quality of Dr. Leaderer's work,
that I had to assume that he didn't have enough time to put
into the chapter.
I think that in addition to the comments already
made that -- and I would certainly start my comments with the
notion about questionnaires and the relation between
questions asked and either RSP, PM10 nicotine measures, et
cetera, that you do need to do more work, and I would start
with work that you've participated in, including the standard
and environmental inventory questionnaire that has documented
the validity of certain questions asked about number of
cigarettes smoked in ppecific environments and RSPs, for
instance.
And also continue then with some other work that
you have laying around, or Dr. Stolwijk does, from WHL Euro
effort in which we plotted a lot more for the RSP cigarette,
the number of cigarettes smoked in specific environments, et
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cetera, and use some of that additional data to flesh
some of the relations.
out
Now, in addition, if you can find the time, I'd
like to see you use some of the RSP dosimetry work in here
well -- for instance, Heller's work, for which you've had
references in the past -- you can find them, or I can find
as
them for you -- shows about 11 percent sidestream deposition
of particles, RSP we'll call them. They're actually smaller,
but that doesn't matter. And that would go along with the 10
to 20 percent figures as versus the nicotine figure in terms
of smoking equivalency.
Also, if you have problems fitting additional stuff
in, you can get rid of redundancies that exist in many places
and give yourself more room to do them.
But I think that, again, you haven't had the
opportunity to see the other chapters as much, and so there
is still lack of correspondence in terms of reference to
misclassification dat$ in studies and the effects of
misclassification that occur in this chapter compared to what
has occurred elsewhere or was discussed yesterday. And I'm
sure the staff can fill you in on some of that that you
missed.
3-17
The modeling in the modeling section, page 3~3,
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11-73
ignore certain things, like if there's no change in smoking
and no change in residence, then in fact one can model past
exposure as well as current exposure, and that current
exposures are relevant for a shorter term; effects, acute
effects that might be related to those exposures.
In fact, in some estimates that I have made, for
instance, in 1/6 of all the childhood leukemia cases we're
studying and others our colleagues have studied, 1/6 of them
over a 20-year period, their current exposure is their past
exposure as well. In 1/4 of chronic respiratory diseases
over a 20-year period, their current exposure is their past
exposure as well, and if that 1/4 represents 1,000 or more
cases and controls, then obviously you can use current
exposure to estimate them.
So there are a number of issues here that I think
can be pursued further now that you've seen the overall
document and may have more time to look at some of the
previous work you've 4one and work others have done to flesh
it out.
But I certainly do appreciate the fact that the
chapter is in here, and I think it can provide some basic
numbers, arguments, et cetera, for the other chapters.
And
so I think that that's what we're hoping for, and I'm sure
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the improvements will do that. Thank you.
DR. SAMET: I'd like to turn back to this end of
the table because I've think we've asked Brian to make a
major expansion of what was a relatively minor part of the
chapter. And hearing Delbert and*Paul and John and Tim
discuss the issue of the comparabilities of three complex
mixtures -- mainstream smoke, sidestream smoke, and ETS,
which have some definition, but ETS is a time-variable
mixture -- what principles can the Committee give to Brian
for this assessment of comparability? I don't think he can
go to work and come back and we can't then say, this isn't
right. So I think we need to evolve some principles. And I
don't think this is easy. So I think we ought to have some
discussion of that issue.
DR. LIPPMANN: I think Jan wants to address that.
DR. STOLWIJK: I couldn't agree more with you. The
difficulty that we're dealing with here is basically what is
practically a chaotic,condition, which is tobacco smoke,
which has been described in various ways and in various
times.
We can ask ourselves whether further description,
more details, and more qualification, in fact, even if we
could get it, would help a lot in this particular issue. It
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might not.
I think what we are looking for is the drawing of
conclusions from past reports that say something about
relationships between these various types that hold true
matter whether you have a different kind of cigarette or
whether you have this or whether you have that, because we
are going to flounder, I think, in terms of trying to capture
the detail because the detail has too much variability in it
to be a meaningful utility.
What is useful is to find the order that is still
there. And the order, for instance, says that mainstream
smoke is much more varied, depending on the source and so
forth, than sidestream smoke is.
There are some things that have been recognized, I
think, and mentioned by several others here where certain
categories are on a mass-percentage basis much more prevalent
in sidestream smoke than they are in mainstream smoke.
That's a very important thing to extract from the information
that is in the literature.
What you find in the literature is descriptive
stuff. Maybe there are some relationships that might not
even have been noted that you can extract from what the
literature says in several of the articles.
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I think that is the direction in which you go in
which you actually discover the order that actually exists in
the chaos that is the ultimate description of what if going
on at any particular moment or any particular time because
the smoke, for instance, in a smoke-filled room tends to be
more aged than the smoke in a nonsmoke-filled room.
Now, all of these things had to go into it. If you
try to account for all of that simultaneously in detail in
terms of concentrations, you will probably get stuck. If, on
the other hand, you look for the order of this, then you are
going to make progress.
You also, by the way, will also make progress then
in the definition of your models because your models actually
reflect that order that is there. They also reflect the
input variables that are highly variable. But there is an
order in how the model should behave and reality behaves.
And the extraction of order from the detailed description of
lots of chemicals ovez lots of time in lots of different
places, is really the task.
The task is not to show the -- and I think this is
where I really would question Joan because the finding out
precisely what all the concentrations are of everything in
their total account is not a useful approach.
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11-77
DR. DAISEY: I'll comment afterwards. I think
perhaps I was misunderstood.
DR. LIPPMANN: Do you want to comment now?
DR. DAISEY: My comment is that the data in that
chapter simply do not demonstrate scientifically that they
are similar. There simply are not enough data. And I agree
with you that you're not going to have that data, and even if
you did, you'd have to decide on criteria for what
constitutes similarity and what does not constitute
similarity.
Does that mean you can't do anything with it? No.
I think Jan is exactly correct, and I think some of the
points made by my colleagues on the table are the ones to
make.
First of all, the comment that Kathy made that the
carcinogens have been the main focus of the characterization,
and that the major carcinogens that have been found in
mainstream smoke have also been found in sidestream and
environmental tobacco smoke. In rooms where there is heavy
smoking, they are found in elevated concentrations. There's
no question about that.
Delbert's point about as a complex mixture, you
have animal data for the complex mixture as a whole, animal
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bioassay data, and you also have the business of the ratio of
the carcinogens in these mixtures. All of those indicate
that, if anything, sidestream smoke would be expected to be
more potent than mainstream. I think that's an important
point.
The point I tried to make here but perhaps didn't
make too clearly, is that all of the combustion mixtures, the
major ones we know about, to which people are exposed that
have been tested, and that includes -- let me go back a step.
All the ones that have been tested extensively in animal
bioassays have been found to be carcinogenic. And many of
those mixtures have been shown to be carcinogenic in humans
exposed in industrial situations.
So if you think about it, it's certainly reasonable
to expect another combustion mixture, and even though the
conditions of combustion are somewhat different for
sidestream and mainstream, you would expect it to sort of
follow the same principles. You've got carcinogens; it's
reasonable to expect it to be carcinogenic in humans as well
as animals.
So I think those are some major things, and I think
there may be some other ones.
DR. LIOY: That's a good point. I think the idea
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that there are carcinogenics has been shown -- other similar
mixtures have been shown to be carcinogenic have been
reported. And the equivalency is not necessarily in terms of
point-by-point relationship between the ratios of the
individual compounds in the mixture. That makes much clearer
what you put on the board, Joan, and --
DR. DAISEY: My only point here was: Not proven.
DR. LIOY: Now I understand what you were driving
at. I think those three points are critical. But then the
linkage to the other chapters, Brian, in terms of exposure
are very crucial because the other chapters do in fact use
epidemiologic/exposure assessment principles to establish
exposure response relationships.
And I think the linkage is there. It has to be
firmly established in your chapter so that it can in fact be
demonstrated that this is not done by taking something out of
the air. Let me try that again.
(Laughter.) ,
DR. LIOY: The point is that I think that you have
to establish that relationship and try to link your
information more closely to Chapters 4 and 5. Not force it,
but where there are plausible arguments, link it; and where
there are inconsistencies or confusion, at least provide that
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as a degree of uncertainty that one has to deal with when one
tries to establish a causal response or quasi-causal response
of total response between exposure and some kind of effect.
And I think those are the four or five most
important points. If anyone on this side wants to add
anything -- I think those are the most important issues. Not
detail. Adding 35 more tables is not going to help.
DR. LIPPMANN: One last Committee comment at this
phase from Dr. Woods.
DR. WOODS: I guess I'll just make a plea. I hear
what Joan is saying with regard to the carcinogenic
constituents in environmental tobacco smoke. But I think
this chapter needs to cover the whole book or the whole
volume here.
And to the extent that we're dealing with other
types of diseases or other types of effects, I think the same
intensity of presentation of the material needs to be dealt
with as you would deal,with the carcinogenic substances.
DR. LIPPMANN: All right. I think everything up to
now has been more or less related to carcinogenic properties,
but clearly that's the more trivial of the public health
impacts of environmental tobacco smoke in my view, and that
the effects in kids are really what we need to make sure we
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properly address as well.
Let me give you an option and you decide whether
you want to respond to these comments now or after the break.
We're overdue for a break. We've taken much more time than
we probably had planned for,on this chapter, but we needed
to. You may want to discuss with Dr. Steve briefly next to
you --
(Laughter.)
DR. LIPPMANN: -- what your responses to these
comments and suggestions are. Would you like to do it now
would you like to probably do it after the break?
or
DR. LEADERER: I'd like to say a word now, and then
probably we'll have more to say after the break.
I gave final exams in one of my classes this May,
and one of the students came back with the question and
didn't do very well at all. He had said to me, "Well, I
answered the question." And I said to him, "No, you didn't."
And he said, "Yes, I d.id." And I know how that student
feels.
(Laughter.)
DR. LEADERER: Let me say I think to some extent
I've been laboring under a considerable misconception. The
chapter was meant to cover some of the central points in
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exposure assessment. That is, one could easily do a book,
certainly a paper, on chemical composition; one would easily
do a book or a chapter on the individual constituents, their
measurement, the ability to measure them, the concentrations
in different environments.
Certainly with the questionnaires, that's a
substantial thing in its own right, in looking at how the
questionnaires have been used and how they're validated. The
models themselves, again, relates to what easily could be
considered a chapter.
I think the problem is that there are several
different areas covered in this presentation, and they're
covered in a survey form. They're meant to highlight some of
the major points in those areas.
Now, the chapter was written in isolation in
ignorance of the other chapters. I can honestly say I have
not read the other chapters because I've just received this
copy. The integration clearly needs to be done. I think
areas can be strengthened. And I appreciate, believe it or
not, the comments received here. It gives me a sense of
direction in terms of what you would like to see. Some of
the comments I agree with: some of the comments I do not
agree with.
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11-83
I think integration does need to be done. I think
that will take some major restructuring. In fact, one might
want to consider even additional chapters or the breaking up
of this chapter into a couple of different subsections. If
there has to be a greater emphasis on the chemical
composition of the sidestream versus mainstream, and then
even comparisons with other complex mixtures that are
considered carcinogenic, well, then maybe that needs to be
broken off and dealt with-in a more detailed form.
I share Jan's concern that one easily could get
lost in tables and numbers. And, in fact, I should say too
that this was written before Mike Guerin's book was out, so
that that data was not available and a lot of the recent data
was not available at the time the chapter was put together.
And Mike's book is a good example of how one can spend a book
dealing with a couple of the issues. And I think it's a
serious problem.
I was under.the working hypothesis that just
comparisons of some summary statements needed to be made, and
I will very carefully take your suggestions and look at it
again and talk to my colleagues at EPA to see how we might
restructure things to provide better integration with this
exposure chapter with the other chapters and provide you with
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the information that you deem necessary.
DR. LIPPMANN: Okay. I think at this point,
let's --
DR. BAYARD: I feel that a lot of the information
was put in the other chapters on exposure as it pertains to
the specific materials that we were getting into.
In Chapter 4 we talked about the connections
between mainstream and sidestream smoke, vis-a-vis mutagenic
and mutaconicity tests, cigarette smoke condensates, and
animal inhalations. That's when we dealt with active
smoking.
In Chapter 6 when we did the quantitative risk
assessment we dealt with cotinine levels in adults related to
questionnaires. In Chapter 8 we talked about cotinine levels
in children related to questionnaires and then we talked
about cotinine levels vis-a-vis misclassification of smokers.
So we felt that it would be redundant to put it
both places.
DR. LIPPMANN: Clearly, at least, there needs to be
more cross-referencing in Chapter 3 that this will be
discussed further here or there, or whatever, and vice-versa.
And there were some inconsistencies noted which were
inevitable. In fact, this author didn't know what was in the
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11-85
other section, and probably vice-versa.
But in any case, these issues I'm sure can be dealt
with, and as the overall organizer of the volume, these
comments are directed to you, as much as Brian, to make sure
that he knows what he needs to cover in revising this chapter
and that you make sure that there's appropriate cross-
referencing in the various chapters to make sure that there's
no misunderstanding.
We might want to discuss this a little further
after the break, but I think why don't we all take a break
now and think about whether we're finished with this or not
and move on.
(Recess.)
DR. LIPPMANN: Before we move on to the discussions
of Chapters 6 and 8, let's make sure that we've properly
closed out on our review and discussion of Chapter 3.
You indicated, Dr. Leaderer, that you wanted to say
something before the 4reak and might want to say something
after as well. Do you had any further response that you'd
like to make?
DR. LEADERER: I had several comments on some of
the specific comments that were made, but I don't think that
I really need to get into those now.
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What I would ask is that the guidance that the
Committee gives me be as specific as possible so that I
might, in going back and revisiting this chapter, come out
the second time with something that's more functional in
terms of the structure of the document overall.
It's my understanding from what I heard here this
morning and talking to people at breaks that the basic
conclusions of the chapter are not a problem. It's a
question of the material brought together, and how it was
brought together and used, that could be strengthened. That
is, more support for the conclusions and some identification
where the weaknesses might be. But that there is not -- at
least, I didn't sense any idea that the general conclusions
of the chapter were a problem. Is that fair?
DR. LIPPMANN: Well, of course, we can't tell you
what the conclusions are when you expand your discussion and
come to other conclusions. But clearly, this chapter is not
there for standalone Burposes, but to provide a firm
underpinning for what other chapters conclude. So its
conclusions are statements of knowledge, rather than
judgments of toxicity, and I think the more important thing
is to look at it as a basis on which the final conclusions
from the other chapters are based.
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,... .
DR. LEADERER: Well, olaaxly, thdt ooo0i,nation
would be on the chapters as needed.: I think fjfait ;Ust would
be oertainly more --- but I do look CorVard to r*ootvihq
. . ;s r . . .
detailed oonmOnts that wiil guide me iri the riqht":4irootion.
. ::
DR. LIPPMANNs I think lrou awt1,:lvave *0~~ -or those
~.., .
almost immedhitely because most ot our Coynmitt**:.#'#mbsrs have
written these 'comments, and Bob .FleOk, ft be Ao41*
't have
.
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extra copies, can qet copies to you within days.':zThose that
. ..:;
haven't writtsn out their key commehts will csPt#ttrily do so
immediately and give them to Bob or direatly to yau.ns well.
Dr..8ayard, do you want -to sdy anythinoftare about
:_.~ ..
Chapter 3?
. ,
(No auaible response.)
DR. : LIPPMANNa Let 'a nmove. on then to: -040tsir 6,
Population Ridk oI Lung Ctnnoer from Passiva 8mq:c0t.,
Liby.
Dr.
DR. . LIOY: I'11 be with you 3,nt u mas3*Adj
;
DR. ,LIPPMUN! Do you want tdi tb start~'ii'th someone ~
, . , ..;
:
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DR, LxOY tPo, no. 1just want a si,OiOtA . ao Qet
myself orqanixed.
. . - . ,.
DR. -LYPPId1WNi Okay. surb. ' ~
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FROM PASSIVE SMOKING
DR. LIOY: Okay. Chapter 6 and I had a long
intimate discussion in the last two and a half weeks. I
found a lot of good information there. However, I found it
to be quite dense in,terms of presentations. And this is an
overview.
I think in some ways, because of the denseness in
presentation, one gets a little lost as to where you're going
with some of your analyses. And one of the initial
assumptions and limitations that you are working under, in
terms of the application of certain equations -- and I think
that has to be clarified for myself and I think the audience
that's going to read this document because clearly to me
there are things that -- I'll give you a good example.
6-Z)
At the end of the chapter, page 621, when you start
talking about sensitivity analysis, you do the right thing.
You start talking about what are the variables in the chapter
that one has to concern oneself with in terms of how they may
affect the risk, and their use in terms of quantifying the
risk to the population.
But that's the time that I saw them all in one
place. All right? When I go back to the beginning, when I
start looking at the equations, I get bits and pieces of that
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information, but I have to start piecing together the whole
argument.
And it's not satisfying. Again, it has to do
partly with my background, and also in trying to present
things in a systematic way to the public -- and that's not
just the general public; I think the scientific community
in terms of what you're doing.
6-) 0
I think, again on page 6'10, there's another
example, which is striking. You put in parentheses
6-10
additional -- page 644, 5th line from the bottom -- you say,
"additional parameters" and then put parentheses (R,,) et
cetera, et cetera. And they're not clearly defined.
Again, I have to go to the next page and dig out
the fact that there's an equation over here which has to deal
with some of those things. And even then I struggled to
figure out the definition, and in some cases, the only way I
was able to figure out the definition was by working through
the arguments. And, again, that left me with a degree of
concern. I think it's very important for the delivery of
your message that you have to lay this out clearly.
I think the most serious deficiency I have with
this chapter -- the resolution of it did not arise until I
went into the sensitivity analysis. At that point I began to
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recognize the fact that you were working under a limited set
of assumptions, one of which -- and if I'm wrong, please
state clearly -- was the fact that you were assuming spousal
smoking was constant in these analyses. Is that a true
assumption?
DR. BAYARD: The current level was represented
(inaudible).
DR. LIOY: That the current spousal smoking
remained constant in your analysis. That is not stated
clearly at all throughout this entire section, and to me
that's a fundamental assumption that you're making, because
if spousal smoke increases, if you make it as an increasing
variable or decreasing variable in the sensitivity analysis,
the equations have to be looked at in another view in terms
of a limit as Z approaches infinity, so that you don't come
up with the illogical conclusion that with spousal smoking
the risk decreases. You understand my point there?
DR. BAYARD:, Yes.
DR. LIOY: It's clearly a limited case that you're
working with. And I think for the benefit of the readership,
this has to be clearly laid out.
DR. BAYARD: We did that in Chapter 8. I can see
where it has to be done in Chapter 6.
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DR. LIOY: Yes. Well, that was my point. When I
read through Chapter 8, I began to recognize what you were
dealing with in Chapter 6. Again, the threads of the
argument were put together logically in your mind, but they
were not very apparent, or readily apparent, to me, as the
reader of this document, and looking at it from the
standpoint of a fundamental mathematical formula, which is
trying to explain a relationship that one is predicting is
going to satisfy that relationship. And I think that this
clearly has to be laid out in the assumption that you make.
And also, the generalizable case has to be presented also
because there are going to be situations where you may find
that spousal smoking may increase rather than decrease --
increase or decrease as a function of time.
I think some of the information presented yesterday
by Dr. Sears, which was quite eye-opening to me, suggests
that we may still have more spousal smoking than we
anticipate because his. Z-factors were going up rather high in
some of his studies; in fact, over 10. Maybe it's due to the
fact that we have some spousal smoking microenvironments that
heretofore have been underestimated.
So I think clearly the way you present this issue
weighs heavily on how one views the Z-factor. And I think
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it's very clear that you have to present this in a logical
way.
My suggestions are, first, to define Z exactly as
to what it means and how it relates to the generalized
equation, and then what assumptions you make about the
generalized equations to deal with the specific case at hand.
In this case you assumed in the document constant spousal
smoking. Then, in another section, explaining how in the
limit, as Z goes to infinity, the relationship has to go to
the much more fundamental relationship of Z -- of RR02 going
to RR2. I believe that's the nature of it; when you go into
limited Z, going into infinity, which would be the case of
spousal smoking.
And so I think those points have to be very clear.
I think the definition of all terms have to be right up front
to make this a less dense document for people to understand,
and so that the arguments are clearly defined.
DR. BAYARD:. Do you think that putting it into that
section right after 6.3, consisting of the model of the
parameters we're using in the --
DR. LIOY: I think the idea of sensitivity now was
a very logical thing to do. In fact, it reduced my degree of
concern about the chapter because I began to understand where
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anealysis, it was clear to me that thinqs -wsrs..Uu!% sore
getting confused. But once I dealt~ with'the neiihitivitK
copacetic than I initielly thouqht.:
Now, a =inal point
m
DR. BROWNs 8xdube me. Do you think IV.:q`d~lld be
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helpful to put these terms in a little '.teibla in ,"n4 of a
glossary?
: DR. : LIOYi As lon.q as I filavs a dsliti~t~~ ~f ~vhat
::
the terms mean. Okay? The terms in a:qlossary it;th, a
derinition of what the terms are would be tini,
PARTICIPANT: Well, that's whpt a qlop*is~ is.
DR..LZOY: Yes. I quess you'.re riqW.:il'm getting
tired. I thir,tk that#a a good point.
I think another issue was the sshsiti.y#y .iRnaiysis,
and I think this is a threat that we have to avkn*Wledqe.
some of the s0oakors yesterday, I notioscl, theit t4ay cauqht
it. before I did. And I think it ' s been pretty taken
that in some caseR, not only do we havi to deal 1jith
sensitivity anaiysis, but in some oases Y think a-;dsqres of
~I1t.~t.(C'Ari ~~~CtKSt
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concern with the unaartainty in some of t.hos* ipeaRUraments
should be at least provided Ln the text whero.pomlribls.
I know that's very, very 4d!!libsi7,t ti~v.t*ae in *any
. :.,
inbtanoes uncortainti.s are not reported Q1ea4y:l It's only
been in the last couple of years thet people b11q&h..t.o really
consider unoertaintios in -their dis`,ouasions. Vilt'.1 think
that maybe in' an eppehdix or it maybe in an ax410# you could
. .. :~ .
run through tOe hypothesis of certa°in types ot 'uli?qoi,tainty,
evsn it it's a theoretical analyais:. Z! I havi~ -$us or minus J
. :
2o:percent on'two or three parameters of Oorcern, iaaed upon
the total weiqht of evidence for those .paramet*=li11.what would
,
it` do to my ptediotiftac? i tbitsk that 344ht bi: .'helpfal. '
8ut; again, making sure that &t'e fooui.p.-.Qn the
. , , . . . ~.
..; . .
particular tlalw of th: equation that you're deslifiq with.
All right? Mdke suro you're very ekplioit.
. ~
x hdpe I've made aryse3.f o;'L!ar. I've U-**q: to
.. r
rethink how to state this so you at-leagt undexptiqtid.whoro my
, . : ..
points are coming from. I think that's 1hy fiain 44-13it.
OR. :LiP1~4Ar1Nc Dr. Rookat~4. ` +
OR. ;ROCKM$s I egz*e,....cbrtA*,oly; vLt.h-'taolOe of ~ho -
clarity I thitik from the example -- the aame exatVls Ipioked
up that's on page t0 where you introduoe some pgiy~aeters you
will introduce and th*n neither Qafined thsm or .~~ us what
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they were. It kept leaving me hanging where I go to the
later sections to try to find out what they were. So I think
it could be made certainly clearer.
I think the sensitivity analysis is an important
part of this, and I think as much as possible, again, that
should be put in the tables. I found your one table very
useful in regard to the sensitivity analysis. And I think
that that's particularly important, given the difficulty you
would have in placing any-type of conventional confidence in
this thing.
And I think, you know, that without knowing what
the co-variances are of all these different parameters from
one another, I quite frankly don't know how you would put
confidence in the convention in the sense that people talk
about when they have a well-defined sample space. And I
think the sensitivity analysis is an important part of that.
I guess one of the things that came up, I found
you know, are the assymptions reasonable? I found that the
assumptions that you made were put in there, and I felt that
they seemed to be pretty reasonable.
One that bothered me just intuitively -- and I have
no way to know -- I guess it was just one as a lay person
that would stand out in my mind as being surprising and there,
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didn't seem to be offered much of an explanation -- is why
the unmarried never-smokers should have such a higher
level --
DR. BAYARD: Why is their level comparable to the
females married?
DR. ROCKETTE: Well, you made that assumption, but
I guess your level is in the -- it was based on the level
that was in the blood --
DR. BROWN: It comes from data. Yes. They seem to
get more exposure elsewhere. That's just the way the data
suggested, that the unmarried women are more likely to be
exposed than married women and unexposed married women.
DR. ROCKETTE: I guess it just was, again --
DR. BROWN: It needs to be clarified.
DR. ROCKETTE: Well, I don't know if you can
clarify it. It's just when one --
DR. BROWN: Where that came from.
DR. ROCKETTE: Yes, I see where it was made. It
just was a little surprising without understanding exactly
why that would be. But maybe there's nothing to be done
about it.
The other issue, of course, was the one of the
males, when you applied the adjustment that you had to that,
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of course, the numbers didn't work out. Presumably this can
happen with small numbers.
One of the things that comes up since you are using
your adjustment procedures in Section B, which I guess was
brought out before as being non-refereed at this point in
time, would it also have turned out that way had you used
some of the published methods of adjustment?
DR. BAYARD: It wasn't really the method that was
different, as we show in Appendix B. It was the parameters
of what went into the method.
DR. RocxMBs Well, okay. Again, that4a what I
suspected, but I think I just wanted to clarify that it's not
something that your partioular method of adjustment would
have produce. Specifically, I guess, the inaccuracy or the
small numbers used for these population -- for these
frequency rates that are probably causing the probXem.
But, in other words, it's not specific to your
method of adjustment.
DR. WELLS: It might be specific only to.the extent
of the survey's olassification factors and on hindsight.
They don't apply to males. We don't have enough never-
smokers to measure. And you get screwy results. And I think
the indication is you really need to survey from
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classification (inaudible). We don't have any (inaudible)
but -- so you don't know what (inaudible).
DR. ROCKETTE: The other issue, I just reacted a
little bit to this, I guess, second sentence in Chapter 6;
6.1. If an effect is large enough to detect in epidemiologic
studies investigating the consequences of ETS exposure at
common exposure levels, the individual risks associated with
exposure is considered to be high compared to most
environmental contaminants assessed.
I think I know what you're trying to say by that,
but it seems to me that when you talk about an effect being
large enough to detect, that that also is, of course,
intimately tied in with the sample size as well as the
magnitude of the effect. And also, when you're talking about
it, it is considered high enough to be -- the exposure is
considered to be high compared to most environmental
contaminants. Of course, that ignores the whole issue of
potential bias.
I just found that statement to be kind of over-
simplistic. In other words, just the fact that I can
identify something does not necessarily mean that I can make
that statement. There are these other issues such as power,
and everything else that comes in. So I just found that
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11-99
statement to -- I actually said that it's either vague. Or,
you know, the way I interpreted it, I'd say it's probably
incorrect. I mean, I think I could shoot holes in it being
an exactly correct statement.
I think that about covers the comments that I had.
DR. LIPPMANN: We had two other people who have
prepared detailed comments that I know about. Dr. Bill Blot
from the National Cancer Institute is going to be with us.
He, of course, provides a very nice 2-page summary of what
the chapter says, and I won't read that because you've all
read the chapter. I'll read his critique.
"While the overall estimate of approximately 3,000
lung cancer deaths due to ETS exposure annually in the United
States is based on reasonable assumptions, the chapter fails
to convey the uncertainty in the estimate. The citation of a
range of 2,500 to 3,300 ETS-related LCDs based on varying
only one of the parameters involved in the estimation is
misleading and implies a greater degree of precision in the
estimation than is warranted.
"The chapter tends to ignore the sampling variation
inherent in the estimate of the relative risk of lung cancer
among nonsmoking women married to smokers versus nonsmokers.
Taking this variation alone into account would result in a
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II-100
confidence interval based range for the annual ETS-induced
LCDs of as low as a few hundred or less, to as high as 5,000
or more.
"Other sources of uncertainty associated with each
assumption employed will tend to widen the potential range
even further.
"Thus I would recommend that for the summary
conclusions, the 2,500 to 3,300 range of LCDs not be quoted.
I would also suggest that the statement 'confidence in these
estimates is judged to be medium to high' be deleted.
Instead, it could simply be stated that the actual number of
LCDs per year in the United States that may be caused by ETS
is uncertain, but the best estimate is about 3,000.
"In the text prior to these conclusions I would
more fully describe the uncertainty in the overall estimate.
The use only of data from American studies to estimate LCDs
in the U.S. seems justifiable. Data from other countries are
relevant to and bolste,r the conclusion that ETS exposure can
increase risk of lung cancer in humans (that is, that ETS is
a Class A carcinogen) but the magnitude of the effect in the
United States seems better estimable using U.S. data alone.
"The use of data among nonsmoking women to estimate
LCDs due to ETS among nonsmoking men offers the advantage of
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the much greater stability of the estimated effect of ETS
among nonsmoking women.
"The U.S. studies included over 1,000 nonsmoking
women with lung cancer, but the number of nonsmoking male
cases studied appears to be nearly an order of magnitude less
and probably too few to base adequate national projections on
ETS-related LCDs.
"The chapter cites problems in adjustment for
misclassification as the rationale for not using the male
data, but a stronger case might be made on grounds of limited
information among males and the considerably greater
precision of the female data.
"Nevertheless, the text should more fully discuss
the claim that misclassification bias may be greater for male
than female nonsmokers and acknowledge the possibility that
the number of ETS-related LCDs among male nonsmokers may be
less than, in addition to greater than, the estimate of 500.
"The chapteg states that confidence in the estimate
of LTDs due to ETS is lowest for former smokers. It makes
the assumption that the risk of lung cancer from active
smoking largely diminishes after about five years from
quitting; an assumption that, depending on how one interprets
'largely diminishes,' is not necessarily true.
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"Large epidemiologic studies of smokers show that
some significant excess risk generally persists well beyond
five years of smoking cessation. Although ETS may cause some
lung cancer among former smokers, the excess risk from ETS is
likely to be less, perhaps much less, than the excess risk
from their past active smoking.
"Because of the document's stated low confidence in
the estimate and the difficulty in estimating directly or
precisely the risks of lung cancer from ETS among former
smokers, it may be preferable to restrict estimates of ETS-
related lung cancer deaths to never-smokers, excluding former
smokers, just as active smokers have been excluded from these
analyses.
"The decision to not use cigarette-equivalent low
dose interpolation techniques to estimate the number of LCDs
due to ETS, seems appropriate. It is not clear which one or
several of the many carcinogens in cigarette smoke is
responsible for the ir1creased risk of lung cancer in active
smokers, nor how variation in bodily cotinine concentration
relates to variation in lung exposure to these carcinogens.
Thus, there would be considerable uncertainty in using
cotinine or other biomarker data to translate ETS exposure by
nonsmokers into cigarette-equivalent exposures.
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"The biomarker data clearly show that the
nonsmokers inhale and metabolize components of cigarette
smokes and help establish that exposure to ETS can increase
the risk of cancer. But they are less useful in estimating
the number of cancers induced by ETS."
He offered a specific response to Question 5. That
is, does any of the new information alter the SAB conclusion
regarding the categorization of ETS as an EPA Group A
carcinogen?
His response is, "The conclusion that ETS should be
categorized as a Group A carcinogen made in the initial EPA
draft document and by the 1990 SAB, remains valid with thee
addition of the new information in the revised draft.
"The totality of epidemiologic evidence indicates
that nonsmoking women married to smokers have experienced an
increased risk of lung cancer. Increased risks have been
observed in most of the investigations in various parts of
the world, including %he United States.
"Biomarker studies have shown that nonsmokers
exposed to ETS inhale and metabolize compounds in cigarette
smoke, leaving little doubt that some of the various classes
of carcinogens in tobacco smoke reach bodily tissues.
"While low concentrations of tobacco smoke
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components are much lower in ETS than in mainstream cigarette
smoke, ETS and mainstream smoke share many qualitative
chemical similarities.
"Because cigarette smoking is such a powerful risk
factor for lung cancer, it is biologically plausible that
prolonged inhalation of ETS may result in some increase in
risk of lung cancer among nonsmokers. Thus, despite the
uncertainty about the magnitude of the risk of lung cancer
due to passive smoking, the overall evidence is sufficient to
declare that prolonged exposure to ETS is ideologically
related to lung cancer, and that ETS should be regarded as an
EPA Class A carcinogen."
He has further responses to Questions 6 and 7. By
and large he is agreeing with the position in criteria
document. And 8, he finds again that procedures used are
reasonable. And 9 is a restatement of what he said earlier.
Other comments have come in from Dr. Burns. His
written comments are solely in respect to the questions,
rather than a descriptive, but I'll read them to you.
His response to question 6, "Is the approach used
to derive estimates of U.S. female never-smoker lung cancer
risk is scientifically defensible?" his answer is, "Yes. The
estimates are based on both human epidemiologic and dosimetry
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data, the database upon which these estimates are based is
more complete than is usually available for assessment of
population risk for environmental carcinogens.
"The approach used of using U.S. data results in a
more conservative estimate of the magnitude of the population
risks, but the document adequately describes the reasons for
using this conservative estimate and the probabilities that
the estimate may indeed be an underestimate of the risk to
the U.S. population."
Question 7: "Is the approach used to extrapolate
lung cancer risk from female never-smokers to male never-
smokers and former smokers of both sexes scientifically
defensible?" His answer is, "Yes. The data that are
available on active cigarette smoking do not show substantial
differences in the dose-response relationships between males
and females for lung cancer.
"There are likely differences in the amount in the
ETS exposure between males and females in the U.S.
population, but the uncertainties involved in these
variations are discussed in the document and adequately dealt
with in the calculation of population risk.
"Once again, the risk estimate is probably more
conservative than is appropriate for this issue. However,
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the use of higher relative risks would generate only modestly
larger numbers, and it is a defensible position to adopt the
most conservative approach to risks calculation."
Eight: "Are the assumptions used to derive these
lung cancer population estimates and the uncertainties
involved characterized adequately?" His answer is, "Yes.
There is an extensive and detailed discussion of the
uncertainties and limitations involved in characterizing the
lung cancer risk for the U.S. population. The estimates that
are derived use the more conservative approach in these
calculations, and the limitations and uncertainties of the
approach are well described.
"Once again, it is important to note that the
database upon which these estimates are made is substantially
more complete than that available from any other Class A
carcinogen, and therefore the risk estimates are able to be
delivered with more confidence."
Nine: "Is the degree of confidence in these
estimates as stated appropriately characterized?" His
is, "Yes. The confidence in the female estimate being
answer
moderate to high is again conservative. The only limitation
is really the extrapolation of dose and exposure data to the
entire population, and there is now an adequate sample of the
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various environments and various populations to have great
confidence in the estimation of exposure for the U.S.
population.
"The estimates for male are less certain because of
the more limited database on relative risk. However, the
description of confidence of that estimate is adequately
described."
Are there any other members of the panel?
DR. STOLWIJK: I would like to bring up a question
that I think was already brought up a earlier, and that is
the sensitivity of the various parameters on the error of
bounds around the parameters, and there are -- for each of
these parameters it is essential or a single estimate and
there is a range and/or a confidence limit. Many of these
are co-related, but some are really quite independent of one
another.
My question is, are these uncertainties with
respect to one another, adequately propagated in all of the
analyses that you're doing? Was there an attempt made to do
an analysis of the combined effect of several of these
parameters? Because my guess would be that that might give
you a better idea of the combined effect of uncertainties
than you now are able to present.
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DR. BROWN: We vreated some various exaYaples, and
very wide-ranged, because we were essentially treating the
variables independently. I'd like to make a comment that
these extremes were likely not be immense because of the
correlation between the variables.
DR. STOLWIJK: Yes. Well, to the extent that they
correlated, you are saved by that. But to the extent that
they're not, or to the extent that they're partially
correlated, you will have to account for the possibility that
they combine in unpleasant ways and spread the tota7l
uncertainty considerably wider.
The question that I had also for myself is one that
I think is also expressed by Dr. Blot, and that is that I
have a feeling that they are not adequately propagated and
that in fact your ranges would widen considerably it you did
that. And I was wondering why that hasn't been done because
it's a relatively simple thing to try out.
DR. BROWN: :I think it goes the other way is what
I'm saying, the propagation. That this arrangement we come
up with would shrink rather than go up. On just the
sensitivity, now. There are other areas of uncertainty that
are not quantified, and they would have an effect. And we
tried to explain that.
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DR. LIPPMANN: I think you do it in words and say
that if we do this and if we do that -- but we are not made
privy to what the combined effects of these would be if
they're both -- or several of them are applied at the same
time.
DR. BROWN: When can we do then to make that clear?
DR. LIPPMANN: Dr. Kabat.
DR. KABAT: In re-reading Chapter 6 todqy, I was
struck by how it really does pile assumption on top of
assumption. And one assumption which at the very least needs
more justification than it gets is our ability to partition
lung cancer deaths into those not at all related to tobacco
smoke and into those four different compartments.
On page 617 and also on page 625 the same -- this
relates to the use of the Z-factor which is computed for
women at 1.75. It relates to the application of that Z-
factor to men. Now, you may be right that this would only
produce a conservative estimate, but you state on page 617
that males have higher background ETS than femalss. But you
ought to at least add that based on what we know, males would
have lower spousal exposure to ETS, which is the other
component of the Z-factor.
And that happens again on page 625, just to give
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the whole story. And then I think you should look at whether
using the female Z-score for men couldn't produce an
overestimate. I'm not certain.
DR. BROWN: Are you saying do men actually have
lower exposure if they are married to women, or are you just
saying that there are fewer men that are exposed?
DR. KABAT: Historically, since men over the past
30 or 40 years have had a higher prevalence of smoking and
smoke more cigarettes per day, we see in our data, and I
think it's reasonable to assume, that women with smoking
husbands have more ETS exposure than the reverse.
DR. BAYARD: What you're saying is that the Z-value
of the smoke --
DR. KABAT: Would be smaller.
DR. LIPPMANN: Dr. Samet. Oh, I'm sorry --
DR. KABAT: I was going to bring up the point that
Dr. Blot made about quitters, and I feel uncomfortable about
the extension to quitters. I really endorse his point, and
that came up in 1990. The conventional dogma is it takes 15
years for quitters to -- for their risk of lung cancer to
return to that of someone who has never smoked.
But in fact, it probably takes even longer. We see
that even after 15 years, a quitter has a risk of
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approximately 2, and most of these estimates don't adjust for
the fact that lung cancer cases smoked more amounts than
other determinants. So certainly, after five years you don't
want to consider an ex-smoker as someone who never smoked.
That's it.
DR. LIPPMANN: John.
DR. SAMET: Well, actually my point was really the
same one. You quote the 1990 Surgeon General's Report, which
exhaustively reviews this information, and comes to the
conclusion that no one -- I mean, in fact, even the question
of how you conceptualize what the risk of returning to is a
very difficult and nontrivial question which is trivialized
in the language here.
And I would suggest that the material on former
smokers is best excluded, as Bill Blot suggested. Certainly
the assumption that the risk is somehow absent after five
years is not defensible.
DR. LIPPMANN: Mike.
DR. LEBOWITZ: Yes. On that same comment, it's
quite obvious from a number of studies that former smokers
often quit because of respiratory health reasons which are
highly correlated with the probability of lung Ca. And that
persists throughout their life, as far as we can tell in at
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least 18 years of our study; that they have a much higher
death rate from lung Ca than the never-smoking group.
And that has come out in two other studies; one of
which I was just reading. I don't have the reference. But
in any case, I think the overwhelming evidence is that the
ex-smokers are very different.
Now, in women it's still one-third to one-half are
quitting because of respiratory reasons, and their lung
cancer death rates also correlate with that. So, in both men
and women, there is too much correlation there to -- too much
excess risks throughout their life to consider them ever -- I
think, the same as a complete never-smoker.
DR. BROWN: We have a little internal disagreement
on this issue. My concern was that former smokers may have
an ETA (inaudible.)
DR. LIPPMANN: Any further Committee input?
(No audible response.)
DR. LIPPMANIJ: It seems in this case, unlike
Chapter 3, that we're talking about some fine-tuning of the
chapter, taking into consideration the comments that you've,
received. But I don't think the Committee consensus is
clearly that it needs only fine-tuning and that the
justification that there are some at excess risk will still
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stand, unless I stand corrected by anybody on the Committee.
DR. EATOUGH: I do have a couple of comments that
are somewhat related to points that were made while we were
talking about Chapter 3 that probably should have been
brought up in connection with this chapter.
One of them is one that Kathy made, and that is,
that it is certainly true that smoking patterns outside the
home have changed significantly in the United States during
the last decade, and one ought to be very careful about
taking values of Z that are being determined now that are
probably much better measures of what's happening now than
the former measures were of what was happening then, but
nonetheless are not applicable to what was happening then.
I think that's an important point to keep in mind
as you try to interpret the new data that come to the front
as that situation has changed very much.
The other comment that I've made in my earlier
comments are related t,o the cotinine data, which in a sense
really are a measure of cigarette exposure equivalency, even
though we've regarded using that directly of the various
population groups. And you may want to give some thought to
the impact that using the best tracer that we currently have,
using a tracer that at least in the conventional CMB analysis
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meaning is really not conservative, what that means with
respect to data.
For example, in fresh sidestream smoke the trail
gets really produced, the ratio of mass to nicotine is about
2 to 3. The average ration of 10 is indeed what is seen as
an average ratio in homes. And that ratio changes because of
the selective removal of nicotine.
What that's going to do to the data is that, as you
go to lower concentrations and that as you go to more aged
material, you're going to tend to have a larger difference
between what you infer to be the exposure and what really
will be the exposure with the direction being
underestimation.
What that's going to mean is that you probably
have, if you like, a misclassification between those that are
spousally-exposed plus background-exposed, and those that are
only background-exposed that will tend to drive your
calculations to be an,underestimation of the -- rather, an
overestimation of the difference between the two and an
underestimation of Z. Which means that using nicotine as a
marker is, again, I think going to tend to underestimate the
overall impact because you're going to tend to calculate
values as much actually larger than they really were because
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of the fact that nicotine really isn't conservative.
I think there are data that will at least
let you
put some kind of balance on the error that that may introduce
into the calculation. But the direction, at least as I have
thought about it, certainly ought to be that you will tend to
underpredict rather than to overpredict the risk.
The only thing that will happen then -- the data
was presented yesterday, using what I at least considered to
be a more conservative, if certainly not a conservative,
tracer compared to measurements of nicotine and the relative
ratio to Z-values that were obtained were exactly opposite of*
what I would have predicted them to have been. But I haven't
seen any details of that study yet, so I don't quite know
what to make of that.
But I think you may want to give some consideration
to the effects of the changing composition of environmental
tobacco smoke and what it means in trying to calculate Z-
factors using a traceZ that's the best that we have, but is
not really conservative.
DR. LIPPMANN: Okay. I think, as I said, what you
have to do here is pretty straightforward. We've taken more
time this morning than the schedule indicated. I think it's
not reasonable to try and do Chapter 8 before lunch. Chapter
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8 may be an interesting chapter because it's a new chapter.
There's nothing like it in the earlier draft. We asked for
it. You've done it. And how happy we are remains to be
seen. It may in fact be the most important chapter in the
document because it comes to some judgments about the more
important -- I think -- impacts of the environmental tobacco
smoke.
So please, let's try to be back here by 1:00 p.m.
We have enough time, I think, to bring the discussion to a
close on time, but not necessarily a lot. We'll adjourn for
this morning and try to resume at 1:00 p.m. or a few minutes
after.
(Whereupon, at 12:07 p.m., the conference in the
above-entitled matter was recessed, to reconvene this same
date at 1:00 p:m.)
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AfTF $ II 4 0 H S E9914 N
( 1:15 p.m.)
DR. LIPPMANN: Mike, we would like to start our
discussion of Chapter 8, and I had you as the lead
discussant.
CHAPTER 8 - ASSESSMENT OF INCREASED RISK FOR RESPIRATORY
ILLNESSES IN CHILDREN FROM ENVIRONMENTAL TOBACCO SMOKE
DR. LEBOWITZ: Some of my comments have to be taken
in the light of the fact that I believe that this may be the
most important chapter in terms of bottom line in the
document. So I want to see a little bit more thought and
some careful rewriting; a little bit more inductive logic
than deductive logic.
I think that the emphasis on trying to remove the
effects of confounding has been a little bit arduous, and in
the process of trying to remove some of these considerations
the authors have gone a little bit too far. I mean, there
really isn't reason to. deny that sometimes others exposures
for instance, do have a greater impact than ETS and that
sometimes the effect of ETS, as an independent factor at
least, may disappear in terms of statistically independence
significant contribution.
I've tried to document some places where this has
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occurred; where this has been shown, and a couple have been
mentioned yesterday as well. Without belaboring it, I don't
think that one -- well, let me put it another way.
I don't think that that's either undeniable or even
when you have enough power that that's necessarily a strange
phenomena in terms of the level of contribution to certain
outcomes that you're looking at. Sometimes the other
exposures can just overwhelm the effect of ETS as an
exposure.
However, there's one aspect to this that hasn't
really been brought up and it should, and I was considering
and mentioning it at lunch. That is that sometimes, in fact,
the effect of ETS may be an interactive either additive or
multiplicitive effect, whereas in one of the studies of ours
quoted, in here we saw ETS contribute to formaldehyde
exposures in childhood in terms of being strongly related to
the prevalence of asthma.
This in fact, is still a contribution of ETS, as
pointed out, but the effect there maybe is either a promoter
or just as an additive effect. In that case, the independent
effect of ETS on asthma in that specific study population
wasn't found.
Obviously, it's much more difficult to calculate
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the risk of ETS as a contributing factor, say, rather than as
an independent factor in those cases.
But I think you'll find in the literature a number
of reports that show that and would strengthen the argument
that ETS is important in asthma incidence and prevalence in
the same way that it would strengthen the argument that ETS
is related say to, say, bronchial responsiveness and cough in
kids. And both of those taken together are pretty well
indicative of asthma in kids, whether diagnosed or not. You
know, not only biological plausible, but as key indicators of
the role and the mechanism of ETS in asthma.
Now, this takes a little bit more thought. The
other areas where something similar happens, where ETS
contributes to, say, greater decrements in lung function in
childhood or reduced growth of lung function in childhood, i
that although it occurs independently, it also occurs
somewhat more strongly in those who have persistent wheeze.
Persistent wheeze and,asthma aren't absolutely different.
It's a question of whether the kid has been diagnosed and
under treatment and know whether they make the other clinical
criteria for asthma.
But in any case, if the effect is there for both, I
mean, these things do go together. Therefore, in fact, they
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11-120
both add to the biological plausibility of it but also add to
the risk, both to the risk of reduced function and to the
risk of asthma. And I think it's appropriate to look at
that.
As mentioned yesterday, in some places some of us
think you have to also modify the statements relating to in
utero exposure to in fact increase the importance of it.
It's not just an effect modifier of ETS and the volume is now
called passive smoking in part because we thought the last
time that in utero exposure was important and is a form of
passive smoking. It's not just what they're exposed to in
the environment after birth.
So there are a number of approaches that are going
to require, I think, more thought to bring out the full
relevance of passive smoking and the ETS component of it.
There are other statements that I think again
reflect an attempt to minimize potential bias. The notion
that ETS effects incrgase with age. Well, if the intensity
and duration of ETS exposure increases with age, I don't know
why biologically you would assume that ETS effects wouldn't
increase with age. In fact, lung function is an excellent
example in kids where the effect does increase with age.
I think what you want to say there is that there
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are a lot of effects that occur in early childhood and other
effects in fact do increase with age. So again, it's a way
of thinking and looking at it and stating it properly.
In connection with other parts of this monograph,
specifically Chapter 3, in what I envision as its new form,
and in Appendix B, you will find that the likelihood of ETS
exposure outside the home increases with age too. And time
activity studies of children show that although the initial
few months usually are predominantly in the home setting,
that this starts changing rapidly with working mothers and
fathers and with the activity of the child even up to the age
of 5. And then you start seeing the increases of the outside
exposure factors.
One of the areas I think should be more emphasized,
in fact, is the exposure in the day care setting. I know
that Dr. Martinez and the group with whom he's working on a
study of children in fact have shown the effect of ETS in the
day care setting on sqme of these factors. This didn't come
out and it needs to come out. So that in that aspect, the
exposure definitely increased and the effects, therefore,
will increase as well within the narrow age range.
Getting back to something I said yesterday vis-a-
vis Appendix B, the biases in fact do sometimes work toward.
Ln
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the alternate hypothesis in terms of classification of
exposure. And so one has to be careful with that. On the
other hand, they're not balanced by the increase in exposure
that hasn't been measured here and certainly some of the
endpoints in which you concentrate on a very,narrow age -- in
fact, as you increase range of when these effects arise, you
mention it, but in fact the work has to be put in to show the
effects up to 3 years of age, up to 5 years of age, and so
forth, to get appropriate attributable risk and appropriate
population impact numbers for the endpoints.
As it were, in each of the age ranges that you look
at you have to consider the'time activity of the child and
you're going to have a different Z-factor. In other words,
based on that time activity and some possible misreportirig
bias.
But certainly, the exposure outside the home will
overwhelm any misreporting bias of just the mother smoking.
I think that would in,fact lead to statements about much
greater effects, and I've documented a fair amount of this.
The one thing you haven't done in this chapter that
has been done in some of the cancer chapters, including
Chapter 6, is to try to determine the importance of certain
studies and the lack of importance of others. I think you
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should do this a little bit more. You have at your hands in
the references already, plus some additional ones, enough
good studies so that you can ignore others that appear to be
either outlyers or for which there appear to be many doubts.
The Striken studies, I can tell you in evaluation
for other reasons, do not appear to be good. It was quite
appropriate also to leave out the Sally Young study since
later data show that they were probably wrong in their
conclusions as expressed by them. On the other hand, the
studies that Dr. Weiss and his group have done and Dr.
Martinez has done, I would say were much stronger and should
be relied on a little more.
Now, there's one down side to that and that comes
when you start estimating the likely number of incident cases
of asthma due to ETS. I might add, inthe calculations of
that I did get lost a few times as documented; including how
you went from prevalence rates to incidence rates and how you
determined proportion.exposed to 10 or more cigarettes a day
and so forth.
Looking at some of what I would accept as Z-factors
and the number of asthmatics and prevalence rates and so
forth, and looking at the observed risk ratios and what they
would be adjusted, and then adjusting at the upper end, such
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as the 2.5, 2.55 odds ratio that Dr. Martinez found, but then
adjusting for mother's education, where he also showed that
the incidence rate really -- that the high odds ratio really
had occurred only in those with lower education, which
represents only 50 percent of the population -- every time I
see that, in fact I have seen that, it shows about the same
thing.
So if you correct for parental reporting bias and
education, then my lower limit of the number of new cases of
asthma per year is about half of what you show.
On the other hand, by changing the Z-factors, you
may increase it again. And by changing the lower -- well,
removing some of the higher Z, you probably will see a higher
rate, especially at the upper end of your estimates. These
are the kind of reasonings that I would like you to go
through.
Let me talk also specifically to the issue raised
yesterday as to what are the important facts and, as someone
said, the first one is: Were there real causal relationships
or where can you say that the relation is very likely to be
causal based on Bradford Hill's criteria or someone else's?
Well, certainly the LRI, certainly the lower lung
function I think is much closer based on what I've suggested
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today; the asthma. And definitely the exacerbations of
asthma. In the exacerbations of asthma, I don't think you
spend enough time on estimating likely proportion exposed and
how many of those exposed are likely to be exacerbated.
My answer is that almost all of those exposed are
likely to be exacerbated, whether it's small, infrequent
asthma attacks in the mild cases when there aren't any other
contributing factors, or large numbers, as found by Evans and
the one other study -- O'Connell and Logan.
So even with the corrections based on the
populations evaluated and the mildness of cases and social
status, I get a rate where the minimum estimate is that 37
percent of asthmatics are going to have asthma attacks due to
ETS. My higher estimate is closer to 67 percent.
I reference my own studies, also, in which I show
that if you follow the asthmatics long enough -- all the
asthmatic kids that I've looked at -- with good monitoring
and get the daily diary of symptoms and peak flow, then in
fact, 100 percent of those exposed are going to show
exacerbation from ETS at one point or another. And that this
occurs at least once a year.
DR. BAYARD: Once a what?
DR. LEBOWITZ: At least once a year. Not that
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hospitalization does, but that a definite asthma attack does
occur, requiring increased medication; if they're not under
self-management programs, visits to physicians and so on. I
give you reference to those.
So for the asthmatic exacerbations and the LRI,s
for the reasons I mentioned, my estimates are much greater
than yours. And you don't actually calculate the true effect
of the decrements in lung function -- and I correct that. So
it's larger.
For the actual incidence rate of asthma, I think
the argument is stronger but the numbers may be different,
depending on what you finally end up as a Z-factor and the
two adjustments that I mentioned from the studies that I
mentioned.
I think that the impacts we're talking about, which
are not only thousands, but hundreds of thousands in terms of
LRIs, are so great and so much more important in my eyes than
some of the other things we've talked about. I really think
the chapter deserves the added attention that you and your
authors could bring to it to clarify it and do a better job
of your risk assessment.
Thank you.
DR. LIPPMANN: Thanks, Mike. Dr. Rockette.
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DR. ROCKETTE: I guess I had some concerns, as was
mentioned before, over some of the way the confounding was
discussed, particularly on page 8.2. You have "In summary,
there is no single or combined confounding factors which
explain the observed respiratory effects of passive smoking
in children."
Again, if you look at the previous points that you
made, many of them were setting up potential sources of
confounding and give reasons why they're not great enough.
Although, Number 4, where you talk about the effects of
passive smoking -- it's not numbered but I guess the one
that's the next to the last -- in my mind presents some
potential sources of things that could be confounders and I
see nothing there that rules those out. That's almost a non-
sequitur to have that implying the confounding factors away.
Also, I don't think -- and this has come up before
a little bit -- I don't know that anything here really
addresses this issue qf combinations of confounding factors.
I mean to me, if you looked at some of these issues relative
to them being potential confounders, to say there's no
combined confounding factors that could explain it away, I
think if you put in some estimates there, you might get -- I
mean, you may argue that you don't think that they're likely
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to explain it, but to rule it out I think is a rather strong
statement.
Also, again on page 8.4, there's a statement
relative to the -- I guess it's the 6th line from the bottom,
or 7th -- that the evidence available clearly indicates that
this is very unlikely. I think you should document that a
little better. You give one example about it not explaining
the under-reporting at the older age group but, again, I
don't know if what you've presented here merits that kind of
statement. I think it needs further documentation.
I also had difficulty, as was mentioned before,
going to these estimates too. This is page 8.10, where you
actually get to your 8,000 to 26,000. Again, I was a little
bit thrown off track about all the prevalence figures being
given and then you jump to incidence. So maybe I'm missing
something but the previous reviewer also noted that it's not
clear I think. I think most readers will have trouble
getting to that 8 to 2L6, particularly when you're setting the
stage with prevalence and then jumping to incidence. You
know, that transition is -- I think you need to clarify how
that number was attained and how you got this distinction
between prevalence and incidence.
Also on that same page, there's one type of
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statement that actually it's not just in this chapter but
it's in others. I think it was pointed out once before. I
really don't know how much it adds to these kind of
statements where we say confidence in the estimate is medium
or confidence in the statement is high.
I don't know how others feel. My personal
preference is I feel that's a very subjective thing and I
think it takes away from just stating what the conclusions
are and putting some kind of estimates of error on. Again,
that's a very subjective type of opinion and I think it's
here and it's also later on where in some of your other
estimates the confidence is high.
I guess your last statement I find interesting and
it caused me to go back to Chapter 7. It's been pointed out
earlier that some of these are interrelated. You make the
statement that the estimates that ETS also leads to increased
prevalence of middle ear effusion. I think that might be
still somewhat of a controversial issue as to whether that's
true.
I went back to your Chapter 7 and looked at those
studies you referred to. I think there's some studies, first
of all that you're missing, and I certainly didn't do a
literature review of that area. Secondly, there is no
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distinction made, or there seems to be in your writing of
some of these like chronic otitis media, otitis media with
effusion -- are kind of used interchangeably.
In some of those studies, as you pointed out, you
did make the distinction of acute otitis media. But then you
have the issue of otitis media with effusion, which, of
course, in early infants, 80 percent of the kids probably
have at least one bout of otitis media with effusion by one
year of age, as opposed to chronic otitis media with
effusion.
I'm not so sure if you sat down and you took all of
the studies and did them as rigorously as you did your
epidemiological review for the ETS and, as I said, made an
effort to get all the studies, I'm not so sure you would be
able to demonstrate that they are consistent in maintaining
that prevalence or increase in prevalence.
And again, when we talk about that I think it's
probably important to,distinguish the chronic otitis media
from the otitis media itself because otitis media, the fact
the kid has one episode, may or may or may not have much
ramification and may be more difficult to identify.
So I actually found from what you said -- again, I
don't think that what was presented is convincing to me that
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smoking increases the prevalence of otitis media with
effusion.
Finally, I guess the other thing that we might
mention is if one goes back and does the simulations, which
was suggested by others on Chapter 6, to get some combined
estimates of error for the cancer, then probably a similar
type of thing should be done here.
I think that's probably all I have.
DR. LIPPMANN: We'11 then we move on to Dr. Woods.
DR. WOODS: Thanks, Mort. I think the first thing
I'd like to do is congratulate you for tackling this. Trying
to put an assessment on the various types of non-cancer
disease is no easy task and I think that even though this is
a first shot, I think that it's a brave effort and you should
be commended in attempting to do this. I think you're moving
the science forward in the process.
In going through the chapter, one of the issues I
was curious about is the confounders. My feeling is that the
confounders in this multitude of non-cancer type illness is
going to almost have to be looked at, and as you go through
each disease you're going to have to think about the
confounders are.
For example, in the asthma, or in the lower
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respiratory illness, effects such as temperature and humidity
or other types of contaminants, especially microbials and the
interactions that might occur, it seems to me could cause you
to underestimate the impact of ETS on the effect of non-
cancer illnesses. And that has not been addressed.
I'm not sure it's quantifiable at this point but I
think a caveat needs to be made that the model that you're
using, the assessment procedure that you're using now, does
not really take into effect some of the interactions that
might occur, I think specifically in terms of temperature,
humidity and microbial concentrations that probably are
interactive with this.
Again, on the comment about that no single or
combined confounding factor explains the observed respiratory
effects, I'm not sure that they have been studied to the
point that you can say that with certainty at this point. So
there's going to have to be some kind of a hedging with
regard to the confounders I think even more so. And then, I
think you need to clearly address the potential effect of
confounders as opposed to interactions. I'd like to make
that specific distinction characteristic between confounders.
DR. BROWN: And can it affect modifiers?
DR. WOODS: And can it effect modifiers, right.
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think you've done a good job in attempting to deal with
misclassification where you could. And again, this is
difficult.
I like very much the idea that you worked with both
a threshold and non-threshold model in trying to deal with
the problem and then select which of the two seemed to make
more sense under a particular situation. That added power, I
think, to the assessment that you're working with.
In trying to relate Chapter 7 and Chapter 8,
there's actually several areas that you were not able,
apparently from the information available to you, to make
estimates. But there's not really much of a statement made
to the effect as to why you couldn't do it.
I think it's important for completeness of the
document to indicate why it was not attempted or why you were
-- maybe it was attempted and you found out that the data
were just not available to be able to give you the confidence
to make that estimate, But I think a statement to that
effect is important.
I think that probably is the extent of the comments
I have. I think it's a good first attempt and it's very
difficult to do.
DR. LIPPMANN: Thank you, Dr. Woods. Dr. Hammond..
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DR. HAMMOND: I just have a couple of comments. I
think that one does need to be careful to distinguish
confounders and effect modifiers and when we deal with panels
we need to remember that.
I'm not sure that one necessarily adds up
confounders, as has been mentioned, and I'm not sure that one
expects those to all add up in one direction; to be
directional. That's just a comment.
In terms of background exposures, I'm a little
concerned -- I don't really know where truth lies here; it's
just conjecture. But to see such a large percentage of
children of non-smokers having exposure surprises me. And I
wonder -- it's not clear in the presentation of whether there
was any cutoff of cotinine or if any cotinine was translated
as exposure to'ETS.
If we're talking about very low levels, as some of
the techniques now allow us to measure, maybe we need to take
into account again the dietary sources that have been
mentioned. I don't necessarily think it's a lot and I don't
think it is necessary is a major at high levels but at the
very low levels. I guess I would like a little bit of that
to be addressed so that there is some sort of cutoff.
I believe that's all I have to say.
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DR. LIPPMANN: I have some written comments from Dr
Burns to share with the Committee. I think I'll just
restrict my reading of it to Questions 13 and 14. On the
previous which relate to 7 and 8, he simply says, yes, he
agrees with you, so I won't go into that. ,
Question 13: Is the evidence with respect to
maternal smoking and Sudden Infant Death Syndrome properly
characterized? Should this evidence be included in this
report?
His response is: "The evidence is appropriately
characterized in terms of the strong association and the
suggestion that environmental tobacco smoke may play a role.
The conclusion that it is impossible, given the existing
data, to determine whether this is an in utero effect or an
effect of environmental smoke exposure is appropriately
characterized and I believe the data do not yet clearly
define the ability to calculate a risk from environmental
tobacco smoke exposure.
I believe that it is important to leave these data
within the context of the report because they address a major
concern relative to the exposure to ETS and one upon which
public policy may well be made.
The fact that there is ample data to raise concern
y
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on this issue should be brought forward to those responsible
for making public policy, even though the data to derive a
causal ideologic association are not yet complete."
Question 14: Is the presented population impact of
ETS on lower respiratory infections and asthma in children
scientifically defensible?
Dr. Burns' response is: "The major limitations in
these data are the limitation and the understanding of the
dose and ETS that children, and particularly children with
asthma, are exposed to and the prevalence of these problems
in U.S. society. Both of these limitations are common in the
assessment of any respiratory impact.
The numbers that are used for the U.S. population
are defensible and similar to the numbers that are used for
other assessments and, therefore, it is appropriate to use
them for the impact of ETS.
The dose and exposure data for environmental
tobacco smoke in childxen is again probably better than for
most respiratory irritants."
Question 15: Are the assumptions and certainties
and degree of confidence in the ranges of population impact
estimates adequately characterized?
His answer is: "Yes. This is the most complete
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description of the assumptions and uncertainties in the data
set that I have ever seen. This is an enormous improvement
from the first draft of this document. It provides a solid
scientifically defensible base upon which to draw the
conclusions drawn by the document."
His final words are, "Once again, I regret that I
will be unable to attend the meeting but would like to
congratulate the EPA staff on what has been a monumental
effort that has produced a truly superb document."
You have at least one enthusiastic fan.
Anyone else? John.
DR. SAMET: I'd just like to return to the issue of
confounding because I feel that a misimpression has been
left, perhaps by the comments of Howard and Jim, concerning
the rigor with'which that issue has been addressed in
published studies, particularly as related to lower
respiratory tract
lung function.
I think
which confounding
think if you look
example for lower
illness and to respiratory symptoms and
Chapter 7 did try to address the degree to
had been controlled in these studies. I
across the array of studies -- and for
respiratory tract illness, in my last count
related to ETS under age 5, I found 30 -- confounders have
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been controlled. Perhaps not every study has controlled for
every potential confounder, but the major confounders have
been controlled and the pattern persists through these
studies of an effect.
So I'm not sure that there should be concern that
somehow there's some confounder that remains across a whole
body of studies from different countries that is introducing
an exposure response relationship in the case of LRI, for
example, that is misleading us.
I'd like to hear your response. I understand that
there's always the possibility of uncontrolled confounding.
This has been, in fact, one of the favorite criticisms lodged
against epidemiologic studies from many parties for many
years. But it's really sort of a know-nothing kind of
approach because it's not based on a biological argument.
So I think the issue here is what confounders are
you concerned about. And in this literature, the literature
specifically on LRI artd on respiratory symptoms and lung
function, should we be concerned. Like you, I always share
the concern that there's a missing confounder that I haven't
controlled for but I need to know what it is and I need to
know why I'm worrying about it.
I think we need to discuss this because I think
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Chapter 7 delved into these matters and there's a sentence
sort of dangling in Chapter 8 that's not well supported by
what comes before it.
But in regard to confounding, and I think where we
have some large data sets that have accumulated over a long
period of time, what are we missing?
DR. WOODS: Well, maybe I can take the first shot
at it. I guess the though process I was going through is
that most of the studies I believe that are reported with
regard to children deal with the baseline exposure of
residences. So I think we've got to think about what's going
on from the environmental standpoint in residences.
Now, if you look at other types of studies that
have gone on with regard to inhalation, the two types of
interactive effects I think that are fairly well documented
would be asbestos and radon, and the interactive effects that
can occur because you've got the presence of some other
factor in there making more than the individual component.
So I would look at that as a modifier rather than a
confounder.
What I'd like to see is somebody address the
potential modifiers of what could happen and distinguish that
from the confounder, as to something that you can't tell .
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whether it's this or that.
DR. SAMET: Jim, I think these issues are pretty
complex both biologically and conceptually in epidemiology.
And the example that you raised is one having to do with
carcinogenesis in fact.
I think what we have to really deal with is with
the set of non-malignant outcomes. I mean, I agree that we
should be concerned that the combined effects of factors may
be different from what we would anticipate from their
individual effects. That's what we were really referring to,
is the effect modification here.
But to the extent that using the available
techniques and attempting to control for these variables,
either by considering that they may have confounding effects
or that they may have modifying effects, and still in effect
of the environmental tobacco smoke exposure variable emerges,
I'm not sure we're missing anything within the context of
present technology.
DR. ROCKETTE: I'd like to respond also. First of
all, my comments related solely to what was written here and
not an evaluation of how they were addressed in the
literature. If you look, again, there were five dots given
here relative to statements and then in summary of those
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statements, they're saying that there is no single or
combined confounding factors that can explain. If I were
just reading this, I would think that those five things were
all providing evidence to me that I can make that statement.
The important one, which is the first comment I.
made, in no way seems to me, if what you said is true, that
they've been ruled out in all of these studies. Then perhaps
the fourth one should say that in addition these factors have
already been addressed or controlled for adequately in
previous studies and, therefore, cannot explain what is being
observed. But it doesn't say that. It just poses that
they're potential confounders.
I also did not see any of these five points that
related to a combination being explained away. So in my
mind, without going back and coming up with it and seeing
what Chapter 7 says, in my mind I think that that statement
being made is still somewhat of a non-sequitur from
particularly the fourth point being made in that it does not
apply to the combination.
And if in fact you're right and there's been
adequate studies done that handle all of these, then perhaps
those points could simply be strengthened and then the
statement could be made. If that's not the case, then the
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statement should be weakened.
DR. SAMET: Well, since this discussion seems to be
perhaps misplaced and more appropriately belongs in Chapter 7
and is in fact largely included in Chapter 7, because it has
to with the judgment as to the causality of the association
and not to the risk assessment itself, it might be better if
in fact this were removed and this dangling statement that is
troubling you, and your interpretation of it is troubling me,
this could be taken out and then perhaps that would solve it.
I mean, I agree it's sitting there quite lonesome with a
bunch of dots above it that don't have much to do with it.
DR. LIPPMANN: Mike.
DR. LEBOWITZ: Let me address Jonathan's concerns
from a know-something attitude.
I agree that it should be removed to put in Chapter
7 for the reasons in the way he expressed. And I certainly
agree that in terms of LRIs that the "confounders, even the
effect modifiers, et cetera, et cetera," have been handled
very well, and possibly only in the case of LRIs.
In the case of lung function and in the case or
asthma I would say it's not the confounders that haven't been
handled but it's the fact that there's new evidence that
effect modifiers increase the effect of the ETS, as it were,
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or that the effect of ETS is greater in certain subgroups and
that that part belongs in Chapter 8. That is, what is the
additional risk to certain subgroups of the population from
ETS in terms of decrements in lung function during childhood;
in increased asthma rates, both incidents and exacerbations
in childhood, et cetera?
Part of what I understood from Jim Woods and part
of what I was saying is that this chapter should include the
risk assessment that includes the increased risk in subgroups
of the population, and it doesn't address it.
DR. SAMET: But again, I think it may be that you
can draw out that certain subgroups are at greater or perhaps
lesser risk from ETS because of effect modification. That is
relevant if you want to draw the inferences for those
segments of the population, not necessarily relevant to
drawing the overall assessment of hazards of what they are.
DR. WOODS: John, I agree with that. I wasn't
trying to say that what is in here is an overestimation of
the problem. But it may be an underestimation of the
problem.
DR. STOLWIJK: Well, I think that the first part of
8.1 of the text before the bullets, and the sentence after
the bullets, could be pulled together and they can and should
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11-144
be dealt with in Chapter 7 where they belong. Then the
confusion goes away because here you set off a bunch of
modifiers and confounders, or potential confounders, that
appears you're not have been dealt with but in fact they were
already dealt with in Chapter 7.
I think you would clarify the situation a great
deal by removing the various strawmen that you have behind
the bullets here. Then the confusion that now arises in this
discussion wouldn't have been there.
DR. LIPPMANN: Dr. Weiss, you weren't particularly
assigned to this, but I know this is an area you have strong
interest. Do you have anything to add to this?
DR. WEISS: Well, I was asleep here a little bit
because I thought we had this discussion yesterday.
(Laughter.)
DR. WEISS: Paul made these points yesterday. I
mean, we said we were going to bring it up again today, but I
think we're beating a,dead horse here. You know, let it come
out and deal with it in the other chapter. It's not relevant
here.
Just to belabor the obvious here, it seems to me
that even some of the public testimony from Dr. Witorsch
yesterday made it very clear that confounders cannot explain
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at all what's going on with LRI. I think that that just
reemphasizes the point that John made.
I think that there is new information that would
suggest that the in utero exposure has some important
biologic effects here that is difficult to perhaps from the
postnatal exposure, and that may be the most relevant of all
of these points. And again, we dealt with this yesterday and
Dr. Laties made the comment and I seconded it. So I really
think that probably if you just remove it, you won't have the
problem.
DR. LIPPMANN: What about the rest of Chapter 8?
Do you have any problem with the quantitation of the extent
of effect?
DR. WEISS: Maybe this is just my own problem, but
I think that both here and in the cancer area there are so
many leaps from the biology, the stuff that we were talking
about with regard to dose and deposition -- one of the other
areas which I think iq critical is the timing of exposure in
phase of human development with regard to active smoking, for
example, and it's relationship to lung cancer.
I think that those of us that do clinical medicine
have seen cases clearly, where relatively small amounts of
active smoking at a particularly vulnerable phase in
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development, adolescence for example, maybe uniquely
predisposes an individual to the development of malignancy at
a much later date in life. These issues are so complex from
a biological point of view that I think it's probably not
worthwhile to nit-pick about these estimates.
I mean, the numbers here, from a public health
standpoint, are quite substantial and most of the issues I
think would probably tend to bias the estimates toward a
higher level rather than a lower.
So I think that within the limits of the risk
assessment, and given that you're pretty far removed from the
biology, I think that I don't have big problems with the
numbers here.
DR. LIPPMANN: All right. We're obligated to
review the basis and use of science in coming to quantitative
risk assessment, which some of us don't normally do. But
still, the arithmetic is science --
DR. WEISS: Right.
DR. LIPPMANN: -- and we have to say whether EPA is
being reasonable. I gather what you were saying was that you
feel they are being reasonable.
DR. WEISS: Yes. I would say these are probably
conservative estimates based on what I presume to understand
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11-147
about the biology.
DR. LIPPMANN: Anybody else? Paul?
DR. LIOY: In terms of the methodology I think in
contrast to Chapter 6, this is much more clearly laid out. I
had no intellectual difficulties with going from one place to
another. Obviously, you made a number of assumptions, but
they were reasonable and credible.
Again, I'11 go back to my point from yesterday that
the emphasis in Chapter 8 should be reflected by that summary
presented in Chapter 7, based upon the emphasis of what the
effects concern and the magnitude. And I think clearly that
the lower respiratory effects are really, I think, eye
openers to me and I think that this has to be seriously
considered.
Again, I'll get back to the issue of SIDS as being
something that I really think that we have to walk very
gently on. And I think on page -- I'1l bring it up from
yesterday just for the. sake of completion -- I guess it's in
Chapter 8, page 13, I guess paragraph 5 -- I really think you
should reconsider the thrust of that statement because I
don't think that the data supports it.
In other areas, I think there's very strong
supporting evidence, but I think in terms of SIDS right now I
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think the data is not that supportive, unless someone has
other information that would lead me to another conclusion.
You made a lot of qualifiers in Chapter 7. I think
it's an important point to bring out and it's an observation
and something that should be considered and seriously delved
into in the future. But I don't think it warrants being in
the conclusions at this particular point in time.
In fact, I think it detracts from some of the more
supportable evidence that you have in here and I don't think
it makes any difference to me whether or not that's in the
conclusions. It's an important point; something that has to
be dealt with; but I don't think it warrants it in the
conclusions in the way that you state it.
DR. LIPPMANN: Well, that's Question 13 on our
charge. Is the evidence with respect to maternal smoking and
sudden infant death syndrome properly characterized and
should the evidence be included in this report?
Is what you!re saying that you believe it should be
in Chapter 7 and not in Chapter 8 at all? Is that what
you're saying?
DR. LIOY: That's my opinion but I'll defer to more
experienced colleagues.
DR. LIPPMANN: Clarify what you're saying. You're
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simply saying delete the paragraph?
DR. LIOY: Right.
DR. LIPPMANN: That's your message.
DR. LIOY: That's my message; especially in the
conclusions.
DR. LIPPMANN: That is one of the items of our
charge. We have to give an answer. How do other people feel
about suggesting that it not be cited in Chapter 8 at all?
(Chorus of ayes..)
DR. STOLWIJK: I would agree with that. I think it
probably should also be removed from the summary.
DR. LIPPMANN: Anybody wish to speak for including
it?
DR. WEISS: I think it's important to distinguish
between ETS and passive smoking here.
You know, I have not reviewed this literature
recently, and I think it's actually written quite well in
Chapter 7. But if you look at the number of studies that
have looked at in utero cigarette smoke exposure and its
relationship to SIDS, the evidence is substantial, I think,
that there is an association.
Now, going back to the point that Dr. Lippmann made
earlier with regard to some of the inhalation toxicology and
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its relationship to cell type with regard to lung cancer, I
think that there is at least some plausible biological
mechanisms as to how in utero exposure might be related to
the development of the respiratory controller and how that
might ultimately influence SIDS occurrence.
I think that it's really stretching it a bit to say
that this is ETS-related. But in considering the issue of
passive smoking, I think that the relationship is
substantial.
That's my only point. I don't care whether it's
included or not particularly, but I think that I just wanted
to speak to the issue of the science as to whether in utero
cigarette exposure is related to SIDS, and I think that there
is clearly data to support that.
DR. LIPPMANN: The Agency clearly has not taken the
position that this is an encyclopedic review and quantitation
of ETS-related health effects. In fact, it's explicitly
excluded cardiovascular effects, which may or may not be
substantial. Since we haven't reviewed it, we can't say. So
there's no reason why we can't have other exclusions where
the data are not at a point where judgments can be made.
Mike?
DR. LEBOWITZ: I would remove it from 8 and keep it
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in 7 only because you're not making new risk assessment on
SIDS in 8 and I would keep 8 preserved for the things that we
feel are strongly related and on which you're doing some risk
assessment calculations.
DR. LIPPMANN: I think we have a consensus then
that --
DR. WOODS: I'd like to talk to this other side for
just a minute.
I think if you take it out and leave it in 7, there
are at least 5 other subjects that were mentioned in 7 that
are not assessed in 8. So rather than make an assessment in
8, or if it's going to be left in Chapter 7, what I'd prefer
to see is some kind of a statement to say that there's not
sufficient information to be used to make an independent
assessment.
DR. LIPPMANN: On these 6 things, rather than just
on the one.
DR. WOODS: On the six, right, that's fine.
DR. LIPPMANN: There seems to be an easy consensus
for us to come to here. Any other discussion
of Chapter 8? Jerry?
on any aspect
DR. WESOLOWSKI: Two points. First of all, I want
to congratulate EPA in taking what is a rather a bold but .
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very reasonable step that I think will help a lot of risk
assessors who can't seem to do a risk assessment unless they
have mortality data. So I was pleased with this chapter.
There is one error, I think on page A-12, the last
sentence. It says "when new cases of asthma in continuously
symptomatic children under 18 years of age, we estimate that"
I think it should be an asymptomatic.
The other thing, as I mentioned to you, Dr. Bayard,
yesterday, was on page A-12 where we get LRIs, you stated
that the population at risk is 5.5 million and you should use
the same algorithm that was used to get asthma cases. I
naively did that and got a much different number and you
pointed out to me how it should be done. That took about six
separate steps because the population at risk is not 5.5
million children but a much smaller amount which are the
people who have had attacks.
So because this is such an important step from the
ART to the number of children, I think that a very simple --
and it is simple -- but detailed discussion of how you to go
from ART of .1 to 150,000 would be very rewarding for the
readers.
DR. BAYARD: Just for the record, though, you're
not arguing with the calculation or the way it was
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calculated? You just want it more explicit?
DR. WESOLOWSKI: No. The calculation is correct;
150,000 is correct. I get that answer now but I didn't get
that answer when I used the words that were in there.
. DR. LIPPMANN: Any other suggestions or comments on
Chapter 8?
(No audible response.)
DR. LIPPMANN: Okay. Well, this was a new chapter
which we didn't have any need to go back to completely
rewrite but simply a little more fine-tuning than on the
previous chapter. So in terms of the bottom line conclusions
about health impacts of environmental tobacco smoke, it
appears that there's not likely to be any major changes in
numerical estimates or judgment as to which are deserving of
quantitation. '
Clearly, there have been suggestions and input to
you which will cause you to reexamine many specific points
and come to perhaps some different judgments or numerical
predictions on some of them. Clearly, the statements in the
draft remain those of draft nature and are subject to final,,i
calculation. J
COMMITTEE REVIEW OF CHAPTERS 1 AND 2
DR. LIPPMANN: Having come this far -- and I'm glad
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we're at this point at this time, we can turn our Committee
attention to the review of Chapters 1 and 2, as appropriate,
and our decisions and commitments for our own committee
business of writing our report to the Administrator and
finishing our task in a reasonable time.
The Science Advisory Board, of course, determines
its own agenda and schedule as it sees fit. But clearly we
do take into account the requests of the Administrator, whom
we serve when we're here. We will make every effort that
we're likely to be able, to come up with our report on a
relatively short time schedule as SAB reports go.
I know the Administrator has expressed the desire
that we have our report ready for the Executive Committee
review in late October, and I see no reason why we can't do
that. I don't see any lack of consensus on most issues.
We have had a hard working committee who has for
the most part already prepared written commentary, which will
require relatively little modification, some addition, and I
imagine the committee members will be able to get their
additional material and/or their modified material to Mr.
Flaak within the next week or two and he can work with me on
pulling it together into a draft report.
I think the order of our business is
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straightforward. our charge is very specific in terms of the
15 items which have been laid out. Most of the panel has
already addressed them explicitly and from what I've seen we
don't have very many inconsistencies to work out. Those will
be our task to work out to the extent that we do. I think we
directly or indirectly addressed each of these 15 items as
we've gone. And if you have any questions about whether
you've gotten the message on our views on these items,
perhaps you should ask us-now.
We then have a fairly clear understanding of where
we've come from and where we've been the last few days and of
where we're going. It's clear that we have some difficult
issues to wrestle with still, as a committee, in coming to
consensus judgments.
It's apparent from the consensus judgment of our
last meeting that there is some excess of cancer associated
with spousal smoking remains. The number again can change,
in particular with the previous draft. We do encourage you,
when you do some of the additional calculations, to not only
come up with your best central estimate but the range of
uncertainty.
I think, clearly, since our collective judgment is
23 1 different from that of a good number of the public ~
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commentors, I think perhaps I should try to reiterate where I
think this panel is coming from, ask for any comment from
other members of the panel and some reaction from you.
I think a lot of the confidence on which we come to
this conclusion that there is an excess is largely on a basis
of the coherence of the data and the total weight of the
evidence. That is, we clearly are not happy with the
judgment in Chapter 4 that just because mainstream smoke is a
carcinogen, and there are some of the same materials in
sidestream smoke, that therefore ETS is, on that simple
basis, a human carcinogen. Clearly, the coherence
demonstrated in the discussion of Chapter 4 lends weight to
our belief that the relative risks in Chapter 5 are
plausible. Together they give us that degree of confidence.
I must say that this is a very different issue in
my view from the other Class A carcinogens, which are largely
based on human epidemiology with larger relative risks but of
much smaller populations.
This is in the class issue, it seems to me, that we
deal in the criteria pollutants -- ozone, the TMSOX and lead
-- of which there are no studies that look at one material
alone or even one material that's dominant but are looking at
a situation with relatively low relative risks and relatively
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high numbers of exposed people. The weight of the evidence
really determines the extent of belief that there is an
association or not.
And so, one can say that as in those pollutants, as
well expressed by David Bates, I believe, that when you get
to coherent evidence from many sources, the weight of the
burden of proof should logically shift from those who say you
must be absolutely sure to those who want to deny the weight
of the evidence and say because you can't be absolutely sure
in the calculation based on many uncertain inputs, that,
therefore, you can't do anything by concluding that the risk
is there.
At least in my personal view, this is a situation
where the coherence of the overall evidence is so nearly
complete and the potential impact is so high that the burden
of proof should be on the other side.
Therefore, not only must there be bias, but it must
be a differential bias which is hard, in my view, to
establish a basis for. So I would say that one could
interpret the criteria for causality in the guidelines to be
that they're met; that there is no identified bias that could
explain the association. There I emphasize the word
identify.
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You have indicated the biases you can identify and
have given, in my view, a reasonable account of them and
whether they're likely to be differential and I accept your
conclusion that there aren't.
The possibility of,confounding has been considered
and ruled out. It's hard to really say they've been ruled
out, but on the other hand again, I see no evidence that
confounding is likely to overwhelm the judgment. Clearly the
third item, that the association is unlikely to be due to
chance, is an extremely compelling reason for making the
judgments that you have.
Some may argue that we have not come to a
sufficiently compelling case for these three criteria being
made, but that's for a matter of individual judgment to
decide. This is, as I say, not the normal carcinogen risk
assessment but one based on a coherence of many, many
studies, each of relatively weak power but where the most
likely confounders have been studied in greatest detail, as
in Fontham, it doesn't seem to shift the results from those
where there's been less attention.
I invite other members of the committee to comment
on my comments and to disagree if they choose and see if we
need to modify the consensus I've tried to state.
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DR. STOLWIJK: Well, I would most probably endorse
to the comments you made, Mort.
I think the only reservation that still remains
with me is the calculation of the likely population impact
and developing the narrow ranges as I've indicated here. I
have some discomfort with that, although I cannot point to a
particular reason why they are there. But I would like to
make sure that these uncertainty ranges are carefully
explored before they get put into a final document.
They look to me narrower than they have a right to
be. That is based on instinct as well as other opinions of
clarifying simultaneous uncertainties.
DR. LEBOWITZ: Jan, is that strictly for cancer,
lung cancer?
DR. STOLWIJK: Yes.
DR. LIOY: Just cancer?
DR. STOLWIJK: Yes. I think that the situation is
most serious with cancer, although it propagates to some
extent into the other diseases also. But I think that the
likelihood that there are a great many things simultaneous
tracking the other things, it's just not as high.
DR. LIPPMANN: Anyone else?
(No audible response.)
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DR. LIPPMANN: While we still are in committee
then, let's turn to some other committee business. We're
early enough to engage in that. Does anybody want to offer
specific comments now?
DR. STOLWIJK: I have a comment on Chapters 1 and 2
that has perhaps some effect throughout the report. It is a
matter of language and specifically language that could be
identified and interpreted as being expressing the opinions
of the authors, or the hopes of the authors, or the fears of
the authors, and they deal with an excessive use of strong
evidence instead of just evidence.
The words "strong evidence" appear -- the
association with strong evidence appears in a large number of
cases and there is a tendency in general to put adjectives
there that reflect a value judgment as opposed to just a
presentation. I think it is not helpful in documents of this
type to have an excessive use by the authors of imposing
their judgments or values in statements that are being made
in the document. It invites the suggestion that there was a
bias in the writing, that there was a hoped-for result or a
planned-for result.
I trust such biases did not exist when the writing
was done, and I think the appearance of such biases or wishes
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existing within the minds of the authors should be avoided.
And it requires if you do a search through the text where you
look for "strong" and "highly" and everything else, you'll
find that are a very large number of occasions where you can
omit the word.
DR. BAYARD: I'm having trouble with this, Jan.
DR. STOLWIJK: It is there in such magnitude that I
though there might be trouble with it. But I still suggest
that --
DR. BAYARD: It was obviously a conscious effort to
try to characterize the evidence as we felt, as we tried to
establish in the report, so you wouldn't just get a
(inaudible) stating evidence.
DR. LIPPMANN: But you don't need the adjectives.
If you end up with the numbers, they speak for themselves.
DR. BAYARD: That's right. I won't argue that.
DR. LIPPMANN: And there are uncertainties, of
course.
DR. BAYARD: That's right. I'm referring to the
extent that we made a statement of the cases of asthma and
such. We didn't feel that the evidence for asthmatic
(inaudible) exacerbations. So just stating the numbers
without characterizations of how we felt about that would be
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inappropriate.
DR. STOLWIJK: But if you then say one line of
evidence is stronger that the other, I would be happy. But
if you say in one case it's strong and in the other case it's
even stronger, that comparison doesn't upset me. But when
you have summary and conclusions and you find a substantial
number of these occasions, which I will hand in so you can
look at them -- but I'm giving it to you as a general
concern, probably grew from being a conservative person who
does not put too many exclamation marks in his writing, I
think the disappearance of many of these words would not hurt
the document and it might actually make the document somewhat
more evenhanded in the way it sounds.
DR. LIPPMANN: I think we already got this message
in part in reference to words in other chapters. As was
mentioned yesterday, your summary and conclusions chapter is
the one that's most likely to be read by large numbers of
.people and it's especially important there not to go beyond
the evidence.
DR. STOLWIJK: I have one other plea that applies
throughout the document and that is the use of exposure
response terminology. Somehow it offends me a little bit to
think of an exposure response in a population being there's
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11-163
an excessive number of people who die of lung cancer. That's
not the kind of response, I think -- that's not the kind of
terminology that I would like to see. Exposure and effect
would perhaps be better. I don't know.
But that again, a searching could probably take
care of almost all of that without too much difficulty. I
don't know how the rest of the panel feels, but exposure and
effect gives me more solace than exposure response.
DR. LIPPMANN: Paul.
DR. LIOY: I think the way that the judgment -- you
know, stronger or strong, weaker -- I think should be based
upon some kind of supporting evidence that you put in. If
it's going to be put in the conclusions, you'd better back it
up to say supporting evidence-- you know, don't just say the
words.
I understand where Jan's coming from, that
sometimes you make a statement about "strong" but I don't see
the rationale clearly,presented. I think that in an
executive summary of that sort, if you're going to make that
kind of statement, that it should be supported in that
statement. It doesn't mean it has to be 14 paragraphs but
there has to be a concise statement behind it saying exactly
why. And I think that will, again, make your use of the word
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"strong" more prudent and more effective.
DR. LIPPMANN: Kathy.
DR. HANIIMOND: Along a different line. I actually
am a strong advocate in general, not just because of
yesterday, in having an executive summary which is accessible
to the layman. I think that the suggestion was very good,
that we have a science writer or someone who can help.
Now I'm speaking for myself and not the panel at
this point, although someone else may want to add to that.
But I myself think that, especially when there is public
interest in something, it's good to have a document that is
written the people who are the authors of the document that
people can read and understand as distinct from someone else
translating it.
DR. LIPPMANN: Jim.
DR. WOODS: I guess I have two comments and I would
sure second that point.
In the summary and conclusions, I had some trouble
trying to separate the summary from the conclusions. I'm not
sure you wanted to do that but it seems to me that this
document is massive enough that you need to be able to
summarize and maybe have either a section in the summary and
conclusions that would be the conclusion section or that you
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have a separate chapter of conclusions that might even -- I
don't know that we're going to have recommendations, but at
least separate out the conclusions so that they can be
highlighted.
The other point is that in the introductory
chapters, Chapter 1, Summary and Conclusions, and in the
Chapter 2, Introduction, I think an overall objective
statement is really needed. What is this document about?
That should be clearly stated.
The only place I could find that is to kind of wade
through the preface a little bit and you see it there. But I
think it needs to be in the body of the material; you know,
specifically what is it that's going on here.
I guess the last point I'd like to make is in the
summary and conclusions section and in the introduction, I
think you really need to try again to more clearly
distinguish between passive smoking and sidestream and
environmental tobacco.smoke.
I read that and I've read it over and over again to
see if I'm missing something. And now this afternoon we
heard a little bit more about the in utero effects, which can
be a passive smoking phenomenon. I think that we really need
to distinguish between these term and get some concise
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definitions into the introductory paragraphs, both in the
summary and conclusion and in the introduction chapter.
DR. LIPPMANN: One other thing. I think the only
chapter we're anticipating a really major rewrite is Chapter
3. And I don't think that justifies us suggesting that you
need to have another public review at all.
But on the other hand, there's sufficient amount of
work to be done that you may want some SAB committee input
into it. I suggest that you decide how much of that you want
and we can try and arrange for some further guidance from a
subcommittee of this group on that chapter.
DR. BAYARD: Thank you, very much, Dr. Lippmann,
and thank you very much all the members of the committee for
your hard work and great effort, and the sound advice you've
given us. On behalf of my office in ORD and OAR I want to
thank you.
DR. LIPPMANN: Thank you. Bob, do you have any
leftover housekeeping?
MR. FLAAK: No.
DR. WESOLOWSKI: I want to make one last statement.
We earlier talked about the chapters and we wanted -- on the
health effects on adults and health effects on children. I
want to make the suggestion, but there seems to a better way
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11-167
to classify and also take away some of (inaudible) of lung
cancer.
DR. BAYARD: I think so.
DR. WESOLOWSKI: If you do that, then I presume
that the title page should also change to Health Effects of
Environmental Tobacco Smoke on Adults and Children.
DR. KOPPIKAR: Respiratory health effects.
DR. WESOLOWSKI: Yes. Thank you.
OTHER ISSUES AND FUTURE BUSINESS
DR. LIPPMANN: Turning to other business, Dr.
Stolwijk has drafted a statement entitled Reduction of
Population Exposure to Air Toxics. Everybody on the
Committee, if they haven't looked at it so far, at least has
it in front of them.
For those in the audience who chose to stay, let me
briefly tell you what we're discussing.
As many of you know, the Clean Air Act Amendments
of 1990 had a major s9ction on air toxics. It identified 189
chemicals for which the EPA is required to apply best control
technology initially and eventually write criteria documents
on each of those entities -- chemical, or a chemical mixture
or a group of chemicals -- and to come up with residual risk
calculations.
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11-168
This is a tremendous burden. I don't know if Bill
Farland will last long enough to ever see the end of that
exercise, if he has to in fact do it.
But it's a logical absurdity in that to control the
outdoor air of most of these chemicals when the dominant
exposure to these chemicals of people is indoors and in fact
those of us exposed indoors become sources perhaps requiring
control when we ventilate outdoors.
As a committee on indoor air exposure and total
human exposure, clearly this causes us some concern about
whether EPA is going to be devoting its scarce resources in
an intelligent way as a contributor to the reducing risk
report. It clearly in my mind would not be. And Dr.
Stolwijk proposes that we examine this draft statement and,
if we can endorse it, it could form the basis of a letter to
the Administrator telling him what we think.
A slightly analogous situation arose recently in
SAB where the Radiatiqn Advisory Committee_sort of rebelled
against helping to construct drinking water standards for
radon because under the provisions of the regulations for
drinking water standards they were obliged to come up with
drinking water content of radon, which added a less than 1
percent incremental risk to that which is associated with the
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4 peak per liter guideline for indoor air radon.
So this was an absurdity which needed to be pointed
out, and it would cost perhaps billions of dollars in
cumulative cost to water treatment authorities who would be
obligated to remove radon from drinking water to remove a
negligible incremental risk of radon.
The Administrator has been very anxious to be
advised on some of the absurdities that go on in the Agency
because he is committed to the philosophy of reducing total
risk. And if it requires legislation, at least he can ask
for legislation from the scientific base, and give his
priorities to the most important things.
So we don't have time to discuss this in committee
since you have all just gotten it, but I ask each member of
the committee to look at it in the reasonably short-term and
to provide any comment to us. If you endorse it or endorse
it with only modest changes, we can send that letter to the
Administrator and ask,for a discussion with him or his
representatives on that issue.
As the standing members of the Committee already
know, we have sent sometime ago a letter to the Administrator
on asbestos and substitute fibers and are awaiting a response
as to how we can help deal with some of the'absurdities in .
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the asbestos program in terms of providing scientific advice
on overall reduction of risk in a cost-effective manner.
My hope is that we will be able to get sufficient
expression of interest from the Administrator to meet with
him or his designated deputy at a meeting in September at,
which time we will perhaps also meet in committee to polish
up our report from this review to get it to the Executive
Committee by the first week in October.
So we don't have any committee date established
yet, but keep in mind that we may want to get together on
these issues, depending on the one hand on whether we need to
meet in committee to polish up our report and, second,
whether the Administrator, or any of his people, are willing
to meet with us to discuss what role we might play in meeting
the Agency needs on these two issues.
DR. DAISEY: Can I just raise a question? The
Clean Air Act, of course, came out of Congress and it has a
little bit of the flav,or of Congress legislating science to
some extent and a number of scientific organizations spoke
out against that particular recommendation.
I guess I'm asking whether the Administrator is the
appropriate audience for these comments or whether it should
be addressed to the appropriate congressional committee. In
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a way, the Administrator has his hands tied; Congress has
told him to do this.
DR. LIPPMANN: But Congress is aware and interested
in the Reducing Risk Report which has come out since that Act
and I think might well be responsive,in this era of
diminishing resources and to perhaps go through the
Administrator in getting to Congress. At least that's my
perception.
DR. DAISEY: I just raise that issue as a
procedural one, not one in substance.
DR. STOLWIJK: We normally report to the
Administrator and not to a congressional committee.
DR. DAISEY: That's true.
MR. FLAAK: Although I might point out that the SAB
committees in the past have had mandates to respond directly
to Congress, including this Committee in its initial report
on the implementation of the Indoor Air Program.
So there is precedent for and, in fact, often
requests from Congress, particularly several of the
committees, for the committees of the Board to provide direct
responses to them. So this has happened in the past,
although generally committees don't do this unsolicited.
DR. LIPPMANN: Because it has a separate charter.
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Jerry?
DR. WESOLOWSKI: Well, I read this quickly. It's a
nice letter, Jan. The question is a little bit vague as to
what we're asking the Administrator to do, except take into
account the total exposure. We can probably call on people
and say what did they mean and some of those people might
say, well, go after funding the NEXAS project. Is that the
bottom line here?
DR. STOLWIJK: No. I think the bottom line, Jerry,
would be that there are avenues within the Agency that can in
fact make a direct contribution to the reduction of these
exposures by going through the Indoor Air Office or other
similar arrangement. It doesn't have to be through
regulation that this is accomplished. As a matter of fact,
it's probably not possible to accomplish it through
regulation.
PARTICIPANT: But there are non-regulatory ways in
which the EPA can act.
DR. WESOLOWSKI: But you do ask in here for an
effective scheme for monitoring the population exposure and
this goes back to a recommendation that I made a number of
years ago, and others as well. To take some of the some of
the money from your fixed station monitoring network and
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close some stations and instead do maybe a biyearly random
sample of the population in several cities in order to
determine what their exposure is in various toxic and
bacterial pollutants to determine if you strategies are
working.
DR. STOLWIJK: But I think that introduces an
element of being able to be held accountable for the
effectiveness of what you're doing.
DR. WESOLOWSKI: From the point of view of exposure
and hence, health effects?
DR. STOLWIJK: From the point of total population
exposure reduction, right.
DR. LIOY: Well, Jan I think that what Jerry's
leading towards is this in a sense is a supportive statement
of the ideas of NEXAS, the National Human Exposure Assessment
Program.
DR. STOLWIJK: It would give a task to NEXAS, yes.
DR. LIOY: The question I have is right now I think
most of you are aware, or some of you are aware at least,
that the NRC is looking at residual risk portion of these 189
air pollutants and how would we interface that? Because it's
very important, I think, that SAB perspective be brought on
this issue, and I think Jan's statement is very reasonable
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and clear.
DR. WESOLOWSKI: NEXAS I think at the moment is
still a concept looking for actualization in --
(Interruption by audio interference.)
DR. WESOLOWSKI: -- including the one who said that
environmental tobacco smoke should be one of the pollutants
of interest, which makes sense, as we've all heard today.
Now, if we write this letter, then in a sense we're saying
without having formally met to talk about the NEXAS Program
that we are endorsing it.
DR. STOLWIJK: No. We're saying there's a task to
be done and if NEXAS is applied to it, then that would be one
way of doing it. There are other ways of doing it. You
could have another team.
DR. LIPPMANN: Consider this. Tell us what you
think; if you want to draft and alternate statement. I think
the point is well taken that indoor air and total human
exposure, which is why. we're a committee -- and we think
those are both important things -- are inconsistent with this
regulatory approach and we'd like to offer our services to
the Administrator to help him come up with an Agency
position.
23 1 I don't see where that directly impacts the
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11-175
National Academy Committee who can listen to us or not listen
to us as they see fit.
DR. LIOY: Oh, yes. I don't think that's a major
-- but that's a point of information that's going on at the
present time and just be aware of it.
MR. FLAAK: I might point out that the Agency
expects to present the exposure survey to the Committee
sometime in the December or January timeframe at a formal
review.
DR. LIOY: I'll be in a workshop tomorrow and
Friday on that topic. It'll be interesting.
DR. DAISEY: Could we get a list of the 189 toxics?
DR. LIPPMANN: Do you really want it.
DR. DAISEY: Yes, because not all VOCs have been
measured in the homes and I want to make sure that --
DR. LIPPMANN: They're not all VOCs.
DR. DAISEY: Yes, part are called toxics. I just
want to make sure that -- sort of the refinement of the
letter, not the substance. The substance of the letter I
agree with.
DR. STOLWIJK: The letter is a 2-page thing which
could probably be expanded to 4 or 5 pages or so.
DR. DAISEY: It doesn't even have to be.
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11-176
DR. STOLWIJK: And it could probably take care of
the various (inaudible) to present the insights that
Committee has. It is just that such letters do not get
spontaneously developed unless there is a proposal --
DR. DAISEY: No, I agree with the thrust of the
letter. -
DR. WESOLOWSKI: When is this Committee going to
meet on NEXAS, in September or October?
MR. FLAAK: The Program Office has advised us it
won't be ready until around the end of the calendar year.
DR. WESOLOWSKI: So when we meet in September it
will be on asbestos?
DR. LIPPMANN: We may or may not have a meeting,
but if we have a meeting, it would be hopefully on both
asbestos fibers and as a last chance to polish our report on
this review.
MR. FLAAK: When Mort talks about a meeting, he's
talking about the standing committee at this point, the
meeting in September.
We'll evaluate the availability of that information
of whether or not we can in fact hold a meeting, in the next
week or so and check back with you for dates if in fact we're
going to do this. If not, the next meeting of the Committee
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will probably be in December or thereabouts, depending on
when these other issue become available. Perhaps sooner.
DR. LIPPMANN: Thank you all for your very good
contributions to a productive review and discussion. It was
a pleasure working with you. I guess we are adjourned.
(Whereupon, at 2:50 p.m., the hearing in the above-
entitled matter was adjourned.)
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