Interpretation of network meta‐analyses of the efficacy of rheumatoid arthritis drugs

WHAT IS KNOWN AND OBJECTIVE Both biological agents and Janus kinase (JAK) inhibitors have been shown to be effective in rheumatoid arthritis (RA) patients with inadequate responses to tumour necrosis factor (TNF) inhibitors. Network meta-analyses are useful for comparing drug effectiveness in the absence of direct head-to-head comparisons. We comment on two such meta-analyses reported in this Journal to highlight aspects of their interpretation. COMMENT In network meta-analyses, it is important to critically examine whether the direct and indirect estimates are divergent, keeping in mind that the surface under the cumulative ranking probability curve (SUCRA) is a relative value in such analyses. In two studies, examining the effect of therapeutic agents for RA by using NMA, the SUCRA method, produced a distinct ranking for JAK inhibitors in monotherapy, and non-TNF inhibitors and JAK inhibitors, in cases of TNF failure. Nonetheless, the differences in treatment effects were small and their clinical significance requires validation. WHAT IS NEW AND CONCLUSION NMA is a useful method for studying the comparative effectiveness of multiple treatments. However, increased attention should be paid when using this method to distinguish statistically significant differences from clinically meaningful differences.