Quadas-c: A tool for assessing risk of bias in comparative diagnostic accuracy studies

Bada Yang*, Sue Mallett, Yemisi Takwoingi, Clare F. Davenport, Christopher J. Hyde, Penny F. Whiting, Jonathan J. Deeks, Mariska M.G. Leeflang, QUADAS-C Group , Miriam Brazzelli

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

42 Citations (Scopus)


Comparative diagnostic test accuracy studies assess and compare the accuracy of 2 ormore tests in the same study. Although these studies have the potential to yield reliable evidence regarding comparative accuracy, shortcomings in the design, conduct, and analysis may bias their results. The currently recommended quality assessment tool for diagnostic test accuracy studies, QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies- 2), is not designed for the assessment of test comparisons. The QUADAS-C (Quality Assessment of Diagnostic Accuracy Studies- Comparative) tool was developed as an extension of QUADAS-2 to assess the risk of bias in comparative diagnostic test accuracy studies. Through a 4-round Delphi study involving 24 international experts in test evaluation and a face-to-face consensus meeting, an initial version of the tool was developed that was revised and finalized following a pilot study among potential users. The QUADAS-C tool retains the same 4-domain structure of QUADAS-2 (Patient Selection, Index Test, Reference Standard, and Flow and Timing) and comprises additional questions to each QUADAS-2 domain. A risk-of-bias judgment for comparative accuracy requires a risk-of-bias judgment for the accuracy of each test (resulting from QUADAS-2) and additional criteria specific to test comparisons. Examples of such additional criteria include whether participants either received all index tests or were randomly assigned to index tests, and whether index tests were interpreted with blinding to the results of other index tests. The QUADAS-C tool will be useful for systematic reviews of diagnostic test accuracy addressing comparative questions. Furthermore, researchers may use this tool to identify and avoid risk of bias when designing a comparative diagnostic test accuracy study.

Original languageEnglish
Pages (from-to)1592-1599
Number of pages8
JournalAnnals of Internal Medicine
Issue number11
Early online date26 Oct 2021
Publication statusPublished - 1 Nov 2021


  • comparative effectiveness research
  • epidemiology
  • Grading of Recommendations Assessment Development and Evaluation (GRADE) assessment
  • Systematic reviews


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