ROBINS-I V2 tool
We are pleased to announce Version 2 of the ROBINS-I tool, launched on 22 November 2024.
Access the tool here:
ROBINS-I V2 (editable document) or ROBINS-I V2 (PDF document)
The Risk Of Bias In Non-randomized Studies – of Interventions, Version 2 (ROBINS-I V2) aims to assess the risk of bias in a specific result from an individual non-randomized study that examines the effect of an intervention on an outcome. The document describes the ROBINS-I V2 tool for follow-up (cohort) studies.
The development group for ROBINS-I V2 was led by Jonathan Sterne and Julian Higgins. A full list of contributors will appear here soon.
Summary of key changes from ROBINS-I (2016) to ROBINS-I V2 (2024)
A key change is the addition of algorithms, which map answers to signalling questions onto proposed risk-of-bias judgements for each domain. A lot of the signalling questions have been revised to make them work better with these algorithms.
Some signalling questions now have more levels of response option: we introduced the idea of a “strong” yes (or no) versus a “weak” yes (or no) to replace the single "(Probably) yes" (or "no") response – these then lead to different risk-of-bias judgements.
A new ‘triage’ section (part B) provides a quick mapping to 'Critical risk of bias' when this is appropriate.
We refined specification of the effect of interest. We now refer to “a per protocol effect” rather than “the per protocol effect” and require specification of what that per-protocol effect is.
We dropped pre-specification of important co-interventions
Domain 1 (confounding):
We improved the table for evaluation of confounding factors
The domain is split into two variants (one for addressing baseline confounding only; and one for addressing both baseline and time-varying confounding)
Domain 2 (classification of intervention):
We moved this domain up (it used to be Domain 3)
We added new questions to address classification bias arising from immortal time
Domain 3 (selection into the study):
We moved this domain down (it used to be Domain 2)
We added new questions to address selection bias arising from immortal time
Domain 4 (deviations from intended intervention)
The domain is now split into two variants (one when interest is in the intention-to-treat effect; and one for when interest is in a per-protocol effect)
We expanded the first variant (ITT effect) expanded so that it matches the RoB 2 tool
We dropped the question about co-interventions when addressing a per-protocol effect
Domain 5 (missing data)
We have reconceived this domain and much expanded it as a result of extensive discussions with missing data experts
Domain 7 (selection of reported result)
We added a question on the availability of a pre-specified analysis plan
Development of ROBINS-I V2 was funded in part by Medical Research Council (MRC) grant MR/M025209/1. Development involved members of the Cochrane Bias Methods Group and the Cochrane Non-Randomised Studies Methods Group.