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Observational Data Do Not Establish Cause and Effect
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| Since this article does not have an abstract, we have provided the first 150 words of the full text and any section headings. |
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Dr Mosca,1 in her comprehensive review
of the literature on the role of hormone replacement therapy (HRT) in the
prevention of postmenopausal heart disease, falls into a trap that is all
too common: she attributes causality to associations found in observational
studies. Consider the following quotes from her article that appear in the
"Observational Studies" subsection of the "ERT [estrogen replacement therapy]/HRT
and CHD [coronary heart disease] Events" section:
- "These studies have consistently shown a reduction in the incidence
of CHD and in the overall mortality of postmenopausal women using ERT/HRT."
- ". . . a 16-year follow-up of the Nurses' Health Study . . . reported
similar beneficial effects."
- "A similar beneficial effect . . . was observed . . . in the Iowa
Women's Health Study."
- ". . . [estrogen] . . . reduced the incidence of a first MI [myocardial
infarction] by 31% . . . ."
- "Meta-analyses . . . [Full Text of this Article]
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