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  Vol. 161 No. 5, March 12, 2001 TABLE OF CONTENTS
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Observational Data Do Not Establish Cause and Effect

Since this article does not have an abstract, we have provided the first 150 words of the full text and any section headings.

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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