Introduction of a tool to assess Risk of Bias in Non-randomized Studies-of Environmental Exposure (ROBINS-E).
10.3760/cma.j.cn112338-20201112-01324
- Author:
Wei Wei WANG
1
;
Qing Xin ZHOU
2
;
Lei MA
3
;
Shi Hao FENG
4
;
Zhi Rong YANG
5
;
Feng SUN
2
;
Si Yan ZHAN
6
Author Information
1. The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China.
2. Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Center of Evidence-based Medicine and Clinical Research, Peking University, Beijing 100191, China.
3. Department of Psychiatry, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.
4. School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
5. Primary Care Unit, School of Clinical Medicine, University of Cambridge, Cambridge CB1 8RN, UK.
6. Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Center of Evidence-based Medicine and Clinical Research, Peking University, Beijing 100191, China Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing 100191, China.
- Publication Type:Journal Article
- MeSH:
Bias;
Environmental Exposure;
Humans;
Systematic Reviews as Topic
- From:
Chinese Journal of Epidemiology
2022;43(1):98-104
- CountryChina
- Language:Chinese
-
Abstract:
This paper summaries the Risk of Bias in Non-randomized Studies-of Environmental Exposure (ROBINS-E), a tool for evaluating risk of bias about non-randomized studies of exposures (NRSE), and introduces the application of ROBINS-E in a published NRSE. According to the characteristics of NRSE, evaluation fields and signaling questions were designed in ROBINS-E to provide essential information about risk of bias for NRSE included in systematic reviews and GRADE. ROBINS-E is the tool in assessment of risk of bias in observational studies and quasi-randomized studies. Although the tool has been used in practice to some extent, but it still needs further improvement. Attention should be paid to its update and progress.
