Introduction of a tool to assess Risk of Bias in Non-randomized Studies-of Exposure (2022)
10.3760/cma.j.cn112338-20230221-00094
- VernacularTitle:暴露对结局影响的非随机对照研究偏倚分析工具ROBINS-E(2022)的介绍
- Author:
Yuehao SUN
1
;
Xiaoxiao WANG
;
Minyue PEI
;
Xinjie MA
;
Youyou YING
;
Siyan ZHAN
;
Nan LI
Author Information
1. 北京大学第三医院临床流行病学研究中心,北京 100191
- Keywords:
Bias risk;
Assessment tool;
Non-randomized controlled study;
Exposure;
Systematic reviews
- From:
Chinese Journal of Epidemiology
2023;44(9):1454-1461
- CountryChina
- Language:Chinese
-
Abstract:
This article introduces the contents of the latest edition Risk of Bias in Non-randomized Studies-of Exposure (ROBINS-E) published in June 2022 [ROBINS-E (2022)], and gives some examples about its usage. ROBINS-E is a tool for assessing the risk of bias in non-randomized studies-of exposure. Compared with ROBINS-E (2019), ROBINS-E (2022) adds more bias for observational studies, covers a more comprehensive range of bias, and adds the assessment of the external authenticity of the study. ROBINS-E (2022) adds a preliminary evaluation process to improve the efficiency of evaluation. In addition, ROBINS-E (2022) visualizes and instrumentalizes the use of signal problems in the form of path graph, making it more convenient to use. ROBINS-E (2022), although more consideration has been given to the issue of co-exposure, still does not address the problem of effect modification in co-exposure, and there is still room to expand the applicable research.