LDL-Lowering Pharmacological Therapy in Women. Although clinical trial data supports the efficacy of LDL-lowering therapy, particularly with statins, in reducing cardiovascular disease events in both primary and secondary prevention settings, there are relatively fewer data in women than in men.57 However, there is little indication of gender-specific variation in the effect of these drugs.56 Walsh and Pignone conducted a meta-analysis of drug treatment of hyperlipidemia in women.57 They found that LDL-lowering therapy in women with prevalent heart disease was associated with no overall effect on total mortality (RR, 1.00; 95% confidence interval [CI], 0.77-1.29), a statistically significant reduction in CHD mortality (RR, 0.74; 95% CI, 0.55-1.00), nonfatal myocardial infarction (RR, 0.73; 95% CI, 0.59-0.90), and need for coronary revascularization (RR, 0.70; 95% CI, 0.55-0.89), and an overall 20% relative reduction in CHD events among women randomized to receive statin therapy compared with placebo (RR, 0.80; 95% CI, 0.71-0.91). In the setting of primary prevention there were relatively few outcome events among women in the examined trials, resulting in imprecise effect estimates with wide confidence limits. They found no significant overall effect of treatment on total mortality (RR, 0.95; 95% CI, 0.62-1.46) or CHD mortality (RR, 1.07; 95% CI, 0.47-2.40). The risks of nonfatal myocardial infarction and need for coronary revascularization were lower in the groups treated with statins, although these effects did not reach statistical significance (RR, 0.61; 95% CI, 0.22-1.68 and RR, 0.87; 95% CI, 0.33-2.31, respectively). Overall, there was a non–statistically significant 13% relative reduction in CHD events among women randomized to receive statin therapy compared with placebo (RR, 0.87; 95% CI, 0.69-1.09). In interpreting these data, it is interesting to note that the magnitude of the observed protective effect was similar to that reported among men enrolled in these trials. In the setting of an overall significant effect, the finding that a subgroup representing a minority of the participants does not reach statistical significance, despite a similar effect size as the majority of the participants, does not prove a lack of effect of treatment in that subgroup.65 Based on this estimate, approximately 150 women with a 10-year risk of 5% would need to be treated for 10 years to prevent 1 event. However, that number would increase to more than 750 for women with an estimated 10-year risk of approximately 1%.