Philip Morris
Review of the Report on Respiratory Effects From Ets
Fields
- Author
- Hertzberg, R.C.
- Type
- MEMO, MEMORANDUM
- REPT, REPORT, OTHER
- Area
- HAN,VICTOR/SEC'Y FILES
- Attachment
- 2046458056/2046458185
- Recipient (Organization)
- Meds
- Recipient
- Murphy, P.
- Request
- Stmn/R1-048
- Site
- N332
- Master ID
- 2046458005/8185
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- Named Organization
- Nrc
- Author (Organization)
- Epa, Environmental Protection Agency
- Meds
- Named Person
- Greenland, S.
- Robins, J.M.
- Litigation
- Stmn/Produced
- Date Loaded
- 05 Jun 1998
- UCSF Legacy ID
- lva65e00
Document Images
UNITED STATES ENVIRONMENTAL PROTECTION AGENCY
OFFICE OF RESEARCH AND CLEVELOlPMENT
ENVIRONMENTAL CRITERIA AND ASSESSMENT ORF(CE
GtNCINNATt. OH10 452156
March 21, 1992
SUBJECT: Review of the Report on Respiratory Effects from ETS
FROM: Richard C. Hertzberg~
MEDS
TO: Pat Murphy, Review Coordinator
MEDS
Revi.w Conditions
This review only considers section 8 and Appendix B. The
severely restricted time allowed for the review precluded the
consideration of other sections. The principal methodological
issues depend strongly on the validity of the epidemiologic
studies, which I am not qualified to judge. Consequently, this
review concentrates on procedure: whether major assumptions are
listed, Judgments are presented on tha validity of each assumption,
calculations are correct given the presumed validity of the
assumptions, and conclusions are characterized within the context
of the assumptions and variability identified earlier in the
report.
chapter 8
The understanding of this chapter would be aided by a summary
table, for each stage or subsection, of assumptions, their
validity, and their numerical impact on the concluding risk
sstimates. Also helpful would be a table listing the ma jor sources
of uncertainty in ths final risk estimates and, for each source,
whether it was possible to include a numerical representation of
that uncertainty into the final range for the risk estimate.
Section 8.3
The key information on which calculations are based is
cotinine concentrations in body fluids. Yet this measure is
sharply criticized (top of p. 8-6) and the warning is given that
dependent results "may thus be subject to considerable error and
should be interpreted with caution." This uncertainty is not
addressed in the ensuing calculations, but should be. In several ~
instances, only mean cotinine values are given, and in others an ~
undefined range is presented. My interpretation of this section is ~
that the various studies cited, combined with the adjustment model ~
(eq. 8.1), are only used to indicate the potent3a.I tor'~
underestimation of the true relative risk but that no numerical CP
correction tor that underestimate will be performed. Tf this ~
impression is correct, it should be stated more clearly.
.._. ~
Pnnt®d on Recy:led Paper

The NRC assumptions (bottom of p. 8-5) actually carry an
additional assumption that should be stated. The first two listed
are:
[cot) - a, + b1* [ETSbi,.]
excess riskre,p - a2 + b2* [ETS,w,,,bd]
Clearly, for cotininn to be an indicator of ambient ETS exposure,
there needs to be a relationship between ambient ETS and absorbed
ETS, or between internal cotinine and absorbed ETS. The later use
of this information (eq. 8.1) implies this "absorption" model is
linear, but it should be so stated as an additional assumption.
The discussion following eq. 8.1 is confusing. The left-hand
side is the observed RR for individuals reported as "exposed." The
right-hand side uses dN for individuals reported as "unexposedi'
that includes those truly unexposed in addition to those
misclassified. The conclusions (p. 8-7, para. i),, however, give
bdN as the increased risk in misclassfffed persons and then give
the RR for the "unexposed" person (both misclassified and true
unQxposed). I believe the bdN term actually applies to the entire
group designated as "unexposed" since that is the group from which
the Z factor is derived. It then represents the average excess
risk for the group, not just for the misclassified persons. The
adjusted RR for the exposed-classitied child, given as 4, then
seems to be correct, but no inference seems possible for those in
the "unQxposed" group that are misclassified. It follows that the
misclassified "unexposed" persons have RR > 2. This discussion
might be easier to follow if you identify the excess risk terms,
e.g., change para. 1, line 6 to be:
Solving for the excess risk in the "unexposed" category,
bdN - 1.
Note that the following phrase should be "twice the observed
relative risk" instead of observed risk.
Section 8.4
in para. 2, line 6-7 ("This may explain, for...."), the phrase
"stronger relation" is misleading. The previous sentence suggests
that the number of parent-smoked cigarettes is a poor and highly
uncertain indicator of total ETS exposure. The relation you
identify is then not stronger in the sense of smaller variation (a
better model) but shows a st.eper slope (e.g., x cigarettes
corresponds to 3y disease cases instead of y, due to the extra BTS
unaccounted for by the parents' cigarettes). The uncertainty could
still be very high.
Somewhere you should carefully define what you are estimating,
I believe it is excess risk according to the definitions of
Greenland and Robins1 (1988), i.e., only those cases that would not
have occurred had exposure not occurred. The cases excluded, that
' Greenland, S. and J. M. Robins 1988. Conceptual problems in
the definition and interpretation of attributable fractions. Am J
Epidemiology 128(6):1185-1197.

you should note, are those that would have occurred without the
Qxposure, but whose severity is increased or time of onset is
advanced because of the exposure (Greanland and Robins' 'ftype 1"
case).
