The application of ROBINS-I guidance in systematic reviews of non-randomised studies: A descriptive study

The ROBINS-I tool is a commonly used tool to assess risk of bias in non-randomised studies of interventions (NRSI) included in systematic reviews. The reporting of ROBINS-I results is important for decision-makers using systematic reviews to understand the weaknesses of the evidence. In particular, systematic review authors should apply the tool according to the guidance provided. This study aims to describe how ROBINS-I guidance is currently applied by review authors. In January 2023, we undertook a citation search and screened titles and abstracts of records published in the previous 6 months. We included systematic reviews of non-randomised studies of intervention where ROBINS-I had been used for risk-of-bias assessment. Based on 10 criteria, we summarised the diverse ways in which reviews deviated from or reported the use of ROBINS-I. In total, 492 reviews met our inclusion criteria. Only one review met all the expectations of the ROBINS-I guidance. A small proportion of reviews deviated from the seven standard domains (3%), judgements (13%), or in other ways (1%). Of the 476 (97%) reviews that reported some ROBINS-I results, only 57 (12%) reviews reported ROBINS-I results at the outcome level compared with 203 reviews that reported ROBINS-I results at the study level alone. Most systematic reviews of NRSIs do not fully apply the ROBINS-I guidance. This raises concerns around the validity of the ROBINS-I results reported and the use of the evidence from these reviews in decision-making.

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Journal
Research Synthesis Methods
Published
2025-10-22
DOI
https://doi.org/10.1017/rsm.2025.10048
Primary Topic
Meta-analysis and systematic reviews
Type
article
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article

The application of ROBINS-I guidance in systematic reviews of non-randomised studies: A descriptive study

Russell J. Bowater, Jelena Savović, Julian P. T. Higgins, Zipporah Iheozor‐Ejiofor
Research Synthesis Methods
Meta-analysis and systematic reviews
article

The application of ROBINS-I guidance in systematic reviews of non-randomised studies: A descriptive study

Russell J. Bowater, Jelena Savović, Julian P. T. Higgins, Zipporah Iheozor‐Ejiofor
article en

Abstract

The ROBINS-I tool is a commonly used tool to assess risk of bias in non-randomised studies of interventions (NRSI) included in systematic reviews. The reporting of ROBINS-I results is important for decision-makers using systematic reviews to understand the weaknesses of the evidence. In particular, systematic review authors should apply the tool according to the guidance provided. This study aims to describe how ROBINS-I guidance is currently applied by review authors. In January 2023, we undertook a citation search and screened titles and abstracts of records published in the previous 6 months. We included systematic reviews of non-randomised studies of intervention where ROBINS-I had been used for risk-of-bias assessment. Based on 10 criteria, we summarised the diverse ways in which reviews deviated from or reported the use of ROBINS-I. In total, 492 reviews met our inclusion criteria. Only one review met all the expectations of the ROBINS-I guidance. A small proportion of reviews deviated from the seven standard domains (3%), judgements (13%), or in other ways (1%). Of the 476 (97%) reviews that reported some ROBINS-I results, only 57 (12%) reviews reported ROBINS-I results at the outcome level compared with 203 reviews that reported ROBINS-I results at the study level alone. Most systematic reviews of NRSIs do not fully apply the ROBINS-I guidance. This raises concerns around the validity of the ROBINS-I results reported and the use of the evidence from these reviews in decision-making.

Research Synthesis MethodsVol. 17(2)
University of Bristol (GB)
Openalex Percentile: Top 70%
Meta-analysis and systematic reviews
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The application of ROBINS-I guidance in systematic reviews of non-randomised studies: A descriptive study — Russell J. Bowater, Jelena Savović, et al. · Research Synthesis Methods (2025) | TGRS Research Map | TGRS