There may be some confusion by Sundar et al 1 and Höcht et al 2 regarding our meta-analysis. 3 Although we fully agree with the dangers of multiple testing and unplanned subgroup analyses, much of what they have stated are in fact strengths of randomization and limitations of observational research, especially in the context of our paper. 3 Every study design, including meta-analyses, has strengths and limitations. The strength of a metaanalysis is to capture the heterogeneity of study designs, broad inclusion criteria, treatment differences, and other potential biases or confounders, and finally to determine if a consistent treatment effect can be observed by virtue of a large sample size and consequently a greater power to detect differences that might be missed by individual trials. Importantly, it is grounded in the strength of randomization of the study question. Meta-analysis prevents a reliance on the test of significance of any one trial as a measure of its value. It helps us capture repeated effect sizes, even if one of them in isolation is not significant (P . .05).