Risk of bias in nonrandomized studies of exposures (ROBINS-E 2022): an interpretation_Chinese Journal of Evidence-Based Medicine

Authors：

WEI Laiwu ¹ , CHEN Xiaojing ¹ , CAO Yubin ² , GOU Pan ³ , HUANG Yan ³ ,  HUA Chengge ^1,2 , LIU Chang ^2,3

1. State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of General Dentistry, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, P. R. China;
2. Department of Oral and Maxillofacial Surgery & Department of Evidence-Based Dentistry, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, P. R. China;
3. Department of Information Management & Department of Dental Informatics, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, P. R. China;

Corresponding?author：

HUA Chengge, Email: huacg@163.com

Keywords：

Nonrandomized study; Observational study; Risk of bias; Exposure; Systematic review; Risk factor

DOI：

10.7507/1672-2531.202302054

Video：

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Nonrandomized studies are an important method for evaluating the effects of exposures (including environmental, occupational, and behavioral exposures) on human health. Risk of bias in nonrandomized studies of exposures (ROBINS-E) is used to evaluate the risk of bias in natural or occupational exposure observational studies. This paper introduces the main contents of ROBINS-E 2022, including backgrounds, seven domains, signal questions and the operation process.

Citation： WEI Laiwu, CHEN Xiaojing, CAO Yubin, GOU Pan, HUANG Yan, HUA Chengge, LIU Chang. Risk of bias in nonrandomized studies of exposures (ROBINS-E 2022): an interpretation. Chinese Journal of Evidence-Based Medicine, 2023, 23(11): 1340-1350. doi: 10.7507/1672-2531.202302054 Copy

1.	Higgins J, Morgan R, Rooney A, et al. Risk of bias in non-randomized studies of exposure (ROBINS-E) (Launch version, 1 June 2022). 2022.
2.	Sterne JA, Hernán MA, Reeves BC, et al. ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ, 2016, 355: i4919.
3.	Sterne JAC, Higgins JPT, Reeves BC. A Cochrane risk of bias assessment tool: for non-randomized studies of interventions (ACROBAT-NRSI) (Version 1.0. 0, 24 September 2014). 2014.
4.	孫鳳, 高樂, 楊智榮, 等. 偏倚風險評估系列: (五)非隨機干預性研究. 中華流行病學雜志, 2018, 39(3): 374-381.
5.	王浩, 唐曉宇, 王和平, 等. ROBINS-I: 評估非隨機干預性研究偏倚風險的新工具. 中國循證心血管醫學雜志, 2018, 10(7): 789-793.
6.	馬佩芬, 李玲玲, 豆欣蔓. 某非隨機干預性研究偏倚風險評估工具及使用方法的解讀. 中華護理教育, 2021, 18(2): 187-192.
7.	Morgan RL, Thayer KA, Santesso N, et al. Evaluation of the risk of bias in non-randomized studies of interventions (ROBINS-I) and the 'target experiment' concept in studies of exposures: rationale and preliminary instrument development. Environ Int, 2018, 120: 382-387.
8.	Morgan RL, Thayer KA, Bero L, et al. GRADE: assessing the quality of evidence in environmental and occupational health. Environ Int, 2016, 92-93: 611-616.
9.	Bero L, Chartres N, Diong J, et al. The risk of bias in observational studies of exposures (ROBINS-E) tool: concerns arising from application to observational studies of exposures. Syst Rev, 2018, 7(1): 242.
10.	Morgan RL, Thayer KA, Santesso N, et al. A risk of bias instrument for non-randomized studies of exposures: a users' guide to its application in the context of GRADE. Environ Int, 2019, 122: 168-184.
11.	王巍巍, 周慶欣, 馬蕾, 等. 環境暴露對健康影響的非隨機化研究偏倚評價工具ROBINS-E介紹. 中華流行病學雜志, 2022, 43(1): 98-104.
12.	Sterne JAC, Savovi? J, Page MJ, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ, 2019, 366: l4898.
13.	Harley KG, Aguilar Schall R, Chevrier J, et al. Prenatal and postnatal bisphenol A exposure and body mass index in childhood in the CHAMACOS cohort. Environ Health Perspect, 2013, 121(4): 514-520.

1. Higgins J, Morgan R, Rooney A, et al. Risk of bias in non-randomized studies of exposure (ROBINS-E) (Launch version, 1 June 2022). 2022.
2. Sterne JA, Hernán MA, Reeves BC, et al. ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ, 2016, 355: i4919.
3. Sterne JAC, Higgins JPT, Reeves BC. A Cochrane risk of bias assessment tool: for non-randomized studies of interventions (ACROBAT-NRSI) (Version 1.0. 0, 24 September 2014). 2014.
4. 孫鳳, 高樂, 楊智榮, 等. 偏倚風險評估系列: (五)非隨機干預性研究. 中華流行病學雜志, 2018, 39(3): 374-381.
5. 王浩, 唐曉宇, 王和平, 等. ROBINS-I: 評估非隨機干預性研究偏倚風險的新工具. 中國循證心血管醫學雜志, 2018, 10(7): 789-793.
6. 馬佩芬, 李玲玲, 豆欣蔓. 某非隨機干預性研究偏倚風險評估工具及使用方法的解讀. 中華護理教育, 2021, 18(2): 187-192.
7. Morgan RL, Thayer KA, Santesso N, et al. Evaluation of the risk of bias in non-randomized studies of interventions (ROBINS-I) and the 'target experiment' concept in studies of exposures: rationale and preliminary instrument development. Environ Int, 2018, 120: 382-387.
8. Morgan RL, Thayer KA, Bero L, et al. GRADE: assessing the quality of evidence in environmental and occupational health. Environ Int, 2016, 92-93: 611-616.
9. Bero L, Chartres N, Diong J, et al. The risk of bias in observational studies of exposures (ROBINS-E) tool: concerns arising from application to observational studies of exposures. Syst Rev, 2018, 7(1): 242.
10. Morgan RL, Thayer KA, Santesso N, et al. A risk of bias instrument for non-randomized studies of exposures: a users' guide to its application in the context of GRADE. Environ Int, 2019, 122: 168-184.
11. 王巍巍, 周慶欣, 馬蕾, 等. 環境暴露對健康影響的非隨機化研究偏倚評價工具ROBINS-E介紹. 中華流行病學雜志, 2022, 43(1): 98-104.
12. Sterne JAC, Savovi? J, Page MJ, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ, 2019, 366: l4898.
13. Harley KG, Aguilar Schall R, Chevrier J, et al. Prenatal and postnatal bisphenol A exposure and body mass index in childhood in the CHAMACOS cohort. Environ Health Perspect, 2013, 121(4): 514-520.

Chinese Journal of Evidence-Based Medicine

Risk of bias in nonrandomized studies of exposures (ROBINS-E 2022): an interpretation

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