Oliver Kuss

Aims To assess the potential for precision medicine in type 2 diabetes by quantifying the variability of body weight as response to pharmacological treatment and to identify predictors which could explain this variability. Methods We used randomized clinical trials (RCTs) comparing glucose‐lowering drugs (including but not limited to sodium‐glucose cotransporter‐2 inhibitors, glucagon‐like peptide‐1 receptor agonists and thiazolidinediones) to placebo from four recent systematic reviews. RCTs reporting on body weight after treatment to allow for calculation of its logarithmic standard deviation (log[SD], i.e., treatment response heterogeneity) in verum (i.e., treatment) and placebo groups were included. Meta‐regression analyses were performed with respect to variability of body weight after treatment and potential predictors. Results A total of 120 RCTs with a total of 43 663 participants were analysed. A slightly larger treatment response heterogeneity was shown in the verum groups, with a median log(SD) of 2.83 compared to 2.79 from placebo. After full adjustment in the meta‐regression model, the difference in body weight log(SD) was −0.026 (95% confidence interval −0.044; 0.008), with greater variability in the placebo groups. Scatterplots did not show any slope divergence (i.e., interaction) between clinical predictors and the respective treatment (verum or placebo). Conclusions We found no major treatment response heterogeneity in RCTs of glucose‐lowering drugs for body weight reduction in type 2 diabetes. The precision medicine approach may thus be of limited value in this setting.