医学
诊断试验
医学物理学
诊断准确性
质量评定
风险分析(工程)
考试(生物学)
理想(伦理)
质量保证
质量(理念)
机器学习
梅德林
计算机科学
人工智能
数据挖掘
校准
风险管理工具
精密医学
风险评估
领域(数学分析)
临床判断
系统回顾
临床试验
金标准(测试)
统计假设检验
可靠性工程
作者
Penny Whiting,Eve Tomlinson,Anne WS Rutjes,Clare Davenport,Bada Yang,Marie E. Westwood,Yemisi Takwoingi,Johannes B. Reitsma,Christopher Hyde,Patrick M M Bossuyt,Jonathan J. Deeks,Mariska M.G. Leeflang,Sue Mallett
标识
DOI:10.7326/annals-25-02104
摘要
Assessing risk of bias and applicability is critical in diagnostic test accuracy reviews to ensure valid, relevant findings that can inform decision making and policy. This article introduces QUADAS-3, an updated version of the widely used QUADAS-2 tool that was developed in response to the latest evidence, feedback from users of QUADAS-2, and comprehensive piloting. The QUADAS-3 tool comprises 6 phases: 1) define the systematic review synthesis question, 2) define the ideal test accuracy trial for each synthesis question, 3) draw a flow diagram, 4) identify estimates of accuracy for assessment, 5) assess risk of bias and applicability, and 6) make an overall judgment. Risk of bias is assessed across 4 domains: Participants, Index Test, Target Condition, and Analysis. The first 3 domains are also assessed in terms of concerns regarding applicability to the synthesis question. Signaling questions are included to help judge risk of bias. The QUADAS-3 tool incorporates several changes compared with the previous version (QUADAS-2) which will ideally improve its validity, usability, and usefulness. Key changes from QUADAS-2 include introduction of the concept of an ideal test accuracy trial, assessment at the estimate level rather than the study level, replacement of the "Flow and Timing" domain with a new "Analysis" domain, introduction of sections on the rationale for judgments, and formal introduction of overall judgment of risk of bias and concerns regarding applicability. Some changes to domains and signaling questions have also been made.
科研通智能强力驱动
Strongly Powered by AbleSci AI