Risk of Bias in Network Meta-Analysis (RoB NMA) tool

Carole Lunny*, Julian P T Higgins, Ian R. White, Sofia Dias, Brian Hutton, Wright Jim M, Areti Angeliki Veroniki, Penny F Whiting, Andrea C Tricco

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

5 Citations (Scopus)

Abstract

Systematic reviews with network meta-analysis (NMA) have potential biases in their conduct, analysis, and interpretation. If the results or conclusions of an NMA are integrated into policy or practice without any consideration of risks of bias, decisions could unknowingly be based on incorrect results, which could translate to poor patient outcomes. The RoB NMA (Risk of Bias in Network Meta-Analysis) tool answers a clearly defined need for a rigorously developed tool to assess risk of bias in NMAs of healthcare interventions. In this guidance article, we describe and provide a justification for the tool’s 17 items, their mechanism of bias, pertinent examples, and how to assess an NMA based on each response option.
Original languageEnglish
Article numbere079839
Pages (from-to)e079839
Number of pages23
JournalBMJ
Volume2025
Issue number388
DOIs
Publication statusPublished - 18 Mar 2025

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