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Re: cancer clusters
Epidemiology works best with exposures that have a high (> 2-3) relative
risk for a given outcome, like E. coli (currently big news here in
Colorado), HIV for AIDS and tobacco smoke for lung cancer. Most of
those have been identified, or are so rare they aren't much of an issue
for the public. Classic epi techniques are less useful for exposure
with low relative risks (between 1 and 2) or where exposure is very
rare. Good epidemiologists know this and focus where they can do good.
Bad epidemiologists know this and use it to milk the system (this
generally only works for a little while) or for political reasons.
Cancer (and other disease) clusters occur randomly, and epidemiologists
know this as well. But until a cluster is thoroughly investigated, how
confident should we be that we are witnessing a collection of random
events, and not a true outbreak of preventable disease?
Tony Harrison, MSPH
Colorado Dept. of Public Health & Environment
Laboratory and Radiation Services Division
(303)692-3046
tony.harrison@state.co.us
>>> <RuthWeiner@AOL.COM> 07/18/02 08:10AM >>>
Three comments on clusters:
Disclaimer: I am not an epidemiiologist.
1. Several years ago one of my M. S. students investigated "leukemia
clusters" near industrial ponds in northwest Washington. She could not
show
any association except geographical proximity: no consistent dose
response,
not even consistent exposure to the water or consistency in the
duration of
the geographic proximity.
2. Two years ago, the New Yorker published an article on disease
clusters by
Malcolm Gladwell. As I recall, the author stated that geographical
clusters
had not proved out in any case that he looked at. Disease clusters
seemed to
be much more the result of common behavior than of geographical
location.
3. I remember the study of spontaneous abortions in Alsea. Oregon,
where it
was claimed that the unusually high incidence was related to effluents
from
the local tree-spraying operations (spraying with pesticides). It
turned out
that there was not an unusually high incidence of spontaneous
abortion.
The epidemiology of AIDS, which did ultimately lead to elucidation of
the
cause of the disease, strikes me as a classic example of good
epidemiology,
particularly because it began with observation of a serious adverse
effect --
a complex of fatal diseases -- and not with any preconceived notion
about
possible causative factors.
Ruth Weiner, Ph. D.
ruthweiner@aol.com
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