“…Small samples provide unreliable estimates of treatment effects and, when coupled with publication bias, can produce biased meta-analytic estimates. Although publication bias was not detected by Lv et al (2023), trim-and-fill analyses can themselves be underpowered particularly in the presence of high heterogeneity (which was certainly true in this case, I 2 = 98.60%). Aside from biased overall effects, small samples also limit one's ability to conduct properly powered tests of mediation and (even more so) tests of moderation within the primary trials.…”