Graphs showing how the relative treatment effect (eg, log odds ratio) for Treatment 3 vs Treatment 2 could change with a covariate value with separate lines representing direct evidence (from trials that allocated Treatments 2 and 3), indirect evidence (from the remaining trials), and all evidence in various scenarios: A, there is no treatment by covariate interaction based on all evidence, and the relative treatment effects at 0 covariate are consistent, and the regression coefficients for the treatment by covariate interaction are consistent; B, there is an interaction based on all evidence, and the relative treatment effects at 0 covariate are consistent, and the coefficients are consistent; C, there is no interaction based on all evidence, and the relative treatment effects at 0 covariate are consistent, and the coefficients are inconsistent; D, there is an interaction based on all evidence, and the relative treatment effects at 0 covariate are consistent, and the coefficients are inconsistent; E, there is no interaction based on all evidence, and the relative treatment effects at 0 covariate are inconsistent, and the coefficients are consistent; F, there is an interaction based on all evidence, and the relative treatment effects at 0 covariate are inconsistent, and the coefficients are consistent; G, there is no interaction based on all evidence, and the relative treatment effects at 0 covariate are inconsistent, and the coefficients are inconsistent; and H, there is an interaction based on all evidence, and the relative treatment effects at 0 covariate are inconsistent, and the coefficients are inconsistent. Direct, indirect, and all evidence is overlapping in plots (A) and (B)