QUADAS-3: A Revised Tool for the Quality Assessment of Diagnostic Test Accuracy Studies

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.

Authors

Institutions

Publication Details

Journal
Annals of Internal Medicine
Published
2026-02-16
DOI
https://doi.org/10.7326/annals-25-02104
Citations
1
Primary Topic
Meta-analysis and systematic reviews
Type
article
Field-Weighted Citation Impact
28.09
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

QUADAS-3: A Revised Tool for the Quality Assessment of Diagnostic Test Accuracy Studies

Anne WS Rutjes, Clare Davenport, Christopher Hyde, Yemisi Takwoingi et al.
1 citations
Annals of Internal Medicine
Meta-analysis and systematic reviews
28.09
article

QUADAS-3: A Revised Tool for the Quality Assessment of Diagnostic Test Accuracy Studies

Anne WS Rutjes, Clare Davenport, Christopher Hyde, Yemisi Takwoingi, Patrick M M Bossuyt, Penny Whiting, Eve Tomlinson, Sue Mallett, Mariska M.G. Leeflang, Jonathan J. Deeks, Johannes B. Reitsma, Marie E. Westwood, Bada Yang
article en
1 citations

Abstract

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.

Annals of Internal Medicine
University of Exeter (GB), University Medical Center Utrecht (NL), University of Bristol (GB), Saint Camillus International University of Health and Medical Sciences (IT), NIHR Exeter Clinical Research Facility (GB), Amsterdam University Medical Centers (NL), NIHR Birmingham Biomedical Research Centre (GB), University College London (GB)
Peace, Justice and strong institutions
Openalex Percentile: Top 1%
Meta-analysis and systematic reviews
28.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.