Department of Health Research Methods, Evidence, and Impact, McMaster University, Health Sciences Centre, Room 2C14, 1280 Main Street West, Hamilton, ON L8S 4K1, Canada.
Integrated Risk Information System (IRIS) Division, National Center for Environmental Assessment (NCEA), Office of Research and Development, US Environmental Protection Agency, Building B (Room 211i), Research Triangle Park, NC 27711, USA.
Environ Int. 2019 Jan;122:168-184. doi: 10.1016/j.envint.2018.11.004. Epub 2018 Nov 22.
The objective of this paper is to explain how to apply, interpret, and present the results of a new instrument to assess the risk of bias (RoB) in non-randomized studies (NRS) dealing with effects of environmental exposures on health outcomes. This instrument is modeled on the Risk Of Bias In Non-randomized Studies of Interventions (ROBINS-I) instrument. The RoB instrument for NRS of exposures assesses RoB along a standardized comparison to a randomized target experiment, instead of the study-design directed RoB approach. We provide specific guidance for the integral steps of developing a research question and target experiment, distinguishing issues of indirectness from RoB, making individual-study judgments, and performing and interpreting sensitivity analyses for RoB judgments across a body of evidence. Also, we present an approach for integrating the RoB assessments within the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework to assess the certainty of the evidence in the systematic review. Finally, we guide the reader through an overall assessment to support the rating of all domains that determine the certainty of a body of evidence using the GRADE approach.
本文旨在解释如何应用、解释和呈现一种新工具的结果,该工具用于评估非随机研究(NRS)中环境暴露对健康结果影响的偏倚风险(RoB)。该工具是基于干预措施非随机研究偏倚风险(ROBINS-I)工具建模的。用于暴露的 NRS 的 RoB 工具沿着与随机对照试验的标准化比较来评估 RoB,而不是采用针对研究设计的 RoB 方法。我们为制定研究问题和目标试验的各个步骤提供了具体指导,区分了间接性问题与 RoB,对个体研究进行判断,并对证据体中的 RoB 判断进行敏感性分析和解释。此外,我们提出了一种将 RoB 评估纳入系统评价中推荐评估、制定和评估(GRADE)框架内的方法,以评估系统评价中证据的确定性。最后,我们引导读者进行全面评估,以使用 GRADE 方法支持对确定证据体确定性的所有领域进行评级。