Clinical vs statistical significance
Keywords:
clinical significance, statistical significanceAbstract
In 1991 a prospective observational study of 48 500 women from the Nurses’ Health Study was published.1 It documented nearly 340 000 person-years of patient follow-up, and showed that oestrogen supplementation in postmenopausal women was associated with an adjusted relative risk (RR) of 0.56 (95% confidence interval [CI] 0.4–0.8) for major coronary disease and similar risk reduction for fatal cardiovascular disease. The following year a quasi-meta-analysis of 35 epidemiological studies showed a reduction in coronary heart disease, stroke and hip fracture, but a significant increase in breast cancer.2 This scare led to a randomised controlled trial (RCT) where patients were randomised to oestrogen and progesterone or placebo, with outcomes of coronary artery disease and invasive breast cancer.3 This trial showed that hormone replacement therapy was associated with an increase in coronary heart disease events, strokes and breast cancer and a reduction in hip fractures. The recommendation was that hormone replacement therapy should not be used as a primary prevention.3 In a 10-year period, there was a turnaround in findings from protection to harm with hormonal replacement therapy in postmenopausal women. How did this happen?
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