(2021) QUADAS-C:A Tool for Assessing Risk of Bias in Comparative Diagnostic Accuracy Studies. Annals of Internal Medicine. pp. 1592-1599. ISSN 0003-4819
Abstract
Comparative diagnostic test accuracy studies assess and compare the accuracy of 2 or more 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.
Metadata
Item Type: | Article |
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Copyright, Publisher and Additional Information: | © 2021 American College of Physicians. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details |
Keywords: | Bias,Diagnosis,Evidence-Based Medicine,Humans,Quality Assurance, Health Care,Review Literature as Topic,Surveys and Questionnaires |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Social Sciences (York) > Centre for Reviews and Dissemination (York) |
Depositing User: | Pure (York) |
Date Deposited: | 20 Jan 2022 11:20 |
Last Modified: | 16 Oct 2024 18:09 |
Published Version: | https://doi.org/10.7326/M21-2234 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.7326/M21-2234 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:182770 |
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Filename: QUADAS_C_manuscript_for_resubmission_2021.08.30.docx
Description: QUADAS-C manuscript (for resubmission) 2021.08.30