分级(工程)
医学
确定性
混淆
透明度(行为)
结果(博弈论)
系统回顾
医学物理学
梅德林
病理
工程类
计算机科学
哲学
法学
土木工程
数理经济学
认识论
计算机安全
数学
政治学
作者
Ching‐Chi Chi,Shih‐Chieh Shao,Liang‐Tseng Kuo,Yen‐Ta Huang,Pei-Chun Lai
标识
DOI:10.4103/ds.ds-d-22-00154
摘要
The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework offers a structured approach to assess the certainty of evidence (CoE) in systematic reviews (SRs). The CoE for each outcome falls into one of the four categories: very low, low, moderate, or high. The judgment of CoE is based on five downgrading factors (including the risk of bias, indirectness, inconsistency, imprecision, and publication bias) and three upgrading factors (including large effect size, dose-response relationship, and opposing plausible residual bias and confounding). To improve the transparency of SRs, authors should indicate how they grade the CoE for each outcome and provide a rationale for downgrading or upgrading the CoE.
科研通智能强力驱动
Strongly Powered by AbleSci AI