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ROB-ME: a tool for assessing risk of bias due to missing evidence in systematic reviews with meta-analysis.

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posted on 2023-12-21, 10:08 authored by Matthew J Page, Jonathan AC Sterne, Isabelle Boutron, Asbjørn Hróbjartsson, Jamie J Kirkham, Tianjing Li, Andreas Lundh, Evan Mayo-Wilson, Joanne E McKenzie, Lesley A Stewart, Alex J Sutton, Lisa Bero, Adam G Dunn, Kerry Dwan, Roy G Elbers, Raju Kanukula, Joerg J Meerpohl, Erick H Turner, Julian PT Higgins

Various methods are available to help users assess whether selective non-publication of studies or selective non-reporting of study results has occurred, but not its impact on a meta-analysis. This limitation of existing methods leaves users to decide their own approach for judging the risk of bias in a meta-analysis result. In this paper, Page and colleagues describe the ROB-ME (risk of bias due to missing evidence) tool, a structured approach for assessing the risk of bias that arises when entire studies, or particular results within studies, are missing from a meta-analysis because of the P value, magnitude, or direction of the study results. The tool is anticipated to help authors and users of systematic reviews identify meta-analyses at high risk of bias and interpret results appropriately. 

History

Author affiliation

Department of Population Health Sciences, University of Leicester

Version

  • AM (Accepted Manuscript)

Published in

BMJ (Clinical research ed.)

Volume

383

Pagination

e076754

Publisher

BMJ

issn

0959-8138

eissn

1756-1833

Copyright date

2023

Available date

2023-12-21

Spatial coverage

England

Language

eng

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