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A meta-analysis is an accepted statistical method for pooling published comparative information and an attempt to understand a disease pathway. In this study, a very small selection of peer-reviewed studies, found by key wording in the literature, are pooled and analyzed.1 The intention of this publication is to summate separate published cohorts using meta-analysis to discover if there is a statistical connection between breast cancer and use of the generation of breast implants utilized mostly before 1989. Unfortunately, this type of study is often far from persuasive and not an exact science. It very much depends on the quality of the review, the comparability between each cohort included in the study, and the quality of initial peer review of papers included within the study. In this case, there are serious flaws, but the general conclusion is that breast implants, however manufactured, do not cause breast cancer, and this is an important take-home message that the authors seek to emphasize.It does not take a genius to discover this because there has never been a publication of a cohort that can show that breast implants cause breast cancer in women. The Oppenheimer effect that can occur in the genetically predisposed rodent is not a human phenomenon. There is, however, an increasing awareness that anaplastic large-cell lymphoma (ALCL) may, extremely rarely, have an association with any silicone implant, especially textured silicone implants, particularly those textured using salt extraction technology. At reporting, Reisman2 identified 8% of a responding cohort of plastic surgeons in the United States that had personally treated ALCL and emphasized the importance of early reporting and, perhaps, centralization of care. This, however, was not known at the time of publishing the few, historical studies included within this meta-analysis, which, incidentally, appears to have analyzed data only in the …

Commentary on: Breast Implants and the Risk of Breast Cancer: A Meta-Analysis on Cohort Studies