Originally posted April 25, 2014.
If you have been prescribed a statin drug, you will benefit greatly by reading the research presented here, here and here. The concept of NNT, or number needed to treat, offers compelling insight for every patient regardless of the prescribed drug or disease in question.
The harms of statins are less publicized than benefits, but are well documented. A recent narrative review of statin myopathy suggests that 10% is a relatively conservative estimate for this side effect,1 which may be a primary contributor to high rates of drug discontinuation.2 An additional, more concerning side effect is statin-induced diabetes, as noted in the JUPITER study and a large Women’s Health Initiative cohort, studies that best represent primary prevention cohorts.3 We use an absolute risk estimate for statin-induced diabetes with the understanding that this may underestimate risk for many. Baseline risk of diabetes is likely the greatest driver of risk for statin-induced diabetes, and the JUPITER trial enrolled patients at lower risk (2.4%) than many, perhaps most, patients who take statins. Our calculation presumes this low baseline risk and that the aggregate chance of diabetes is time-dependent and linear. We have thus extrapolated from the 1.9-year trial data to a 5-year endpoint, the same time endpoint and calculation used for benefits. These data are relevant to new onset diabetes only, and do not address the equally concerning possibility that some diabetic patients may experience statin-induced worsening of their disease, or inability to manage or cure their disease using lifestyle changes. We look forward to data addressing these issues.
Our sense, based on factors noted above, is that the benefits of these drugs are likely exaggerated partly by an unconscious ‘hope bias’ on the part of readers and authors. This is common in the early literature on therapeutic innovations, and is often attenuated as further literature emerges. In addition, post-marketing surveillance data is in its early stages with this class of drugs and preliminary reports suggest that cognitive decline, tendonopathies, and other side effects may emerge in future literature. Finally, the source of the great majority of these data is industry, which has a spotty history of integrity in trial data reporting, suggesting these data to be a best-case scenario.