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Julian P. T. Higgins, Rebecca L. Morgan, Andrew A. Rooney, Kyla W. Taylor, Kristina A. Thayer, Raquel A. Silva, Courtney Lemeris, Elie A. Akl, Thomas F. Bateson, Nancy D Berkman and 16 more
BACKGROUND: Observational epidemiologic studies provide critical data for the evaluation of the potential effects of environmental, occupational and behavioural exposures on human health. Systematic reviews of these studies play a key role in informing policy and practice. Systematic reviews should incorporate assessments of the risk of bias in results of the included studies. OBJECTIVE: To develop a new tool, Risk Of Bias In Non-randomized Studies - of Exposures (ROBINS-E) to assess risk of bias in estimates from cohort studies of the causal effect of an exposure on an outcome. METHODS AND RESULTS: ROBINS-E was developed by a large group of researchers from diverse research and public health disciplines through a series of working groups, in-person meetings and pilot testing phases. The tool aims to assess the risk of bias in a specific result (exposure effect estimate) from an individual observational study that examines the effect of an exposure on an outcome. A series of preliminary considerations informs the core ROBINS-E assessment, including details of the result being assessed and the causal effect being estimated. The assessment addresses bias within seven domains, through a series of 'signalling questions'. Domain-level judgements about risk of bias are derived from the answers to these questions, then combined to produce an overall risk of bias judgement for the result, together with judgements about the direction of bias. CONCLUSION: ROBINS-E provides a standardized framework for examining potential biases in results from cohort studies. Future work will produce variants of the tool for other epidemiologic study designs (e.g. case-control studies). We believe that ROBINS-E represents an important development in the integration of exposure assessment, evidence synthesis and causal inference.
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Higgins, J. P. T., Morgan, R. L., Rooney, A. A., Taylor, K. W., Thayer, K. A., Silva, R. A., Lemeris, C., Akl, E. A., Bateson, T. F., Berkman, N. D., Glenn, B. S., Hróbjartsson, A., LaKind, J. S., McAleenan, A., Meerpohl, J. J., Nachman, R. M., Obbagy, J., O'Connor, A. M. C., Radke, E. G., … Sterne, J. A. C. (2024). A tool to assess risk of bias in non-randomized follow-up studies of exposure effects (ROBINS-E). Environment International, 186, 108602. https://doi.org/10.1016/j.envint.2024.108602
Higgins, Julian P. T., et al. "A tool to assess risk of bias in non-randomized follow-up studies of exposure effects (ROBINS-E)." Environment International, vol. 186, 2024, pp. 108602, https://doi.org/10.1016/j.envint.2024.108602.
Higgins, Julian P. T., Rebecca L. Morgan, Andrew A. Rooney, Kyla W. Taylor, Kristina A. Thayer, Raquel A. Silva, Courtney Lemeris, et al. "A tool to assess risk of bias in non-randomized follow-up studies of exposure effects (ROBINS-E)." Environment International 186 (2024): 108602. https://doi.org/10.1016/j.envint.2024.108602.
Higgins J. P. T., Morgan R. L., Rooney A. A. [и др.] A tool to assess risk of bias in non-randomized follow-up studies of exposure effects (ROBINS-E) // Environment International. — 2024. — Vol. 186. — P. 108602. — URL: https://doi.org/10.1016/j.envint.2024.108602
@article{higgins2024tool,
title = {{A tool to assess risk of bias in non-randomized follow-up studies of exposure effects (ROBINS-E)}},
author = {Julian P. T. Higgins and Rebecca L. Morgan and Andrew A. Rooney and Kyla W. Taylor and Kristina A. Thayer and Raquel A. Silva and Courtney Lemeris and Elie A. Akl and Thomas F. Bateson and Nancy D Berkman and Barbara S. Glenn and Asbjørn Hróbjartsson and Judy S. LaKind and Alexandra McAleenan and Joerg J Meerpohl and Rebecca Massa Nachman and Julie Obbagy and Annette M. Cormier O'Connor and Elizabeth G. Radke and Jelena Savović and Holger Jens Schünemann and Beverley Shea and Kate M. Tilling and Jos H. A. M. Verbeek and Meera Viswanathan and Jonathan A C Sterne},
journal = {Environment International},
year = {2024},
volume = {186},
pages = {108602},
doi = {10.1016/j.envint.2024.108602},
url = {https://doi.org/10.1016/j.envint.2024.108602}
}TY - JOUR AU - Higgins, Julian P. T. AU - Morgan, Rebecca L. AU - Rooney, Andrew A. AU - Taylor, Kyla W. AU - Thayer, Kristina A. AU - Silva, Raquel A. AU - Lemeris, Courtney AU - Akl, Elie A. AU - Bateson, Thomas F. AU - Berkman, Nancy D AU - Glenn, Barbara S. AU - Hróbjartsson, Asbjørn AU - LaKind, Judy S. AU - McAleenan, Alexandra AU - Meerpohl, Joerg J AU - Nachman, Rebecca Massa AU - Obbagy, Julie AU - O'Connor, Annette M. Cormier AU - Radke, Elizabeth G. AU - Savović, Jelena AU - Schünemann, Holger Jens AU - Shea, Beverley AU - Tilling, Kate M. AU - Verbeek, Jos H. A. M. AU - Viswanathan, Meera AU - Sterne, Jonathan A C TI - A tool to assess risk of bias in non-randomized follow-up studies of exposure effects (ROBINS-E) JO - Environment International VL - 186 SP - 108602 PY - 2024 DA - 2024/03/24 DO - 10.1016/j.envint.2024.108602 UR - https://doi.org/10.1016/j.envint.2024.108602 ER -
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