Cited by 187Meta-analysis and systematic reviewsStatistical Methods in EpidemiologyClinical practice guidelines implementation

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Empirical Evidence of the Importance of Comparative Studies of Diagnostic Test Accuracy

Takwoingi, Yemisi, Leeflang, Mariska M.G., Deeks, Jonathan J.·2013·Annals of Internal Medicine

Abstract

BACKGROUND: Systematic reviews that "compare" the accuracy of 2 or more tests often include different sets of studies for each test. PURPOSE: To investigate the availability of direct comparative studies of test accuracy and to assess whether summary estimates of accuracy differ between meta-analyses of noncomparative and comparative studies. DATA SOURCES: Systematic reviews in any language from the Database of Abstracts of Reviews of Effects and the Cochrane Database of Systematic Reviews from 1994 to October 2012. STUDY SELECTION: 1 of 2 assessors selected reviews that evaluated at least 2 tests and identified meta-analyses that included both noncomparative studies and comparative studies. DATA EXTRACTION: 1 of 3 assessors extracted data about review and study characteristics and test performance. DATA SYNTHESIS: 248 reviews compared test accuracy; of the 6915 studies, 2113 (31%) were comparative. Thirty-six reviews (with 52 meta-analyses) had adequate studies to compare results of noncomparative and comparative studies by using a hierarchical summary receiver-operating characteristic meta-regression model for each test comparison. In 10 meta-analyses, noncomparative studies ranked tests in the opposite order of comparative studies. A total of 25 meta-analyses showed more than a 2-fold discrepancy in the relative diagnostic odds ratio between noncomparative and comparative studies. Differences in accuracy estimates between noncomparative and comparative studies were greater than expected by chance (P < 0.001). LIMITATION: A paucity of comparative studies limited exploration of direction in bias. CONCLUSION: Evidence derived from noncomparative studies often differs from that derived from comparative studies. Robustly designed studies in which all patients receive all tests or are randomly assigned to receive one or other of the tests should be more routinely undertaken and are preferred for evidence to guide test selection. PRIMARY FUNDING SOURCE: National Institute for Health Research (United Kingdom).

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References 59 · Cited by 187

Research works printed but not linked: 4

  1. Abba K, 2011, Cochrane Database Syst Rev, CD008122
  2. Al-Khayal KA, 2007, Saudi Med J, 28, 173
  3. Alldred SK, 2012, Cochrane Database Syst Rev, 6, CD009925
  4. 10.1001/jama.1984.03350170020012 · DOI

Metadata

Authors
Takwoingi, Y., Leeflang, M. M. G., & Deeks, J. J.
Affiliations
Amsterdam UMC Location University of Amsterdam (NL)
Venue
Annals of Internal Medicine
Published
2013-04-02
Volume
158
Issue
7
Pages
544-554
ISSN
  • 0003-4819 (ISSN-L)
  • 1539-3704
OpenAlex
W2048078358
Cited by
187
References
59
Citations by year
2026: 8 · 2025: 1 · 2024: 14 · 2023: 15 · 2022: 30 · 2021: 17 · 2020: 12 · 2019: 16 · 2018: 19 · 2017: 14 · 2016: 13 · 2015: 15 · 2014: 8 · 2013: 5
FWCI
15.07
Type
journal article
Language
en
Open access
closed
Locations
  • Annals of Internal Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • Pure Amsterdam UMC (publishedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
  • University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
Funders
National Institute for Health and Care Research (DRF-2011-04-135)
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Clinical practice guidelines implementation
Keywords
diagnostic accuracy, meta-regression, summary receiver operating characteristic, diagnostic odds ratio, test selection
MeSH terms
Diagnostic Tests, Routine, Humans, Research Design, Review Literature as Topic, Meta-Analysis as Topic, Selection Bias, Evidence-Based Medicine

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Takwoingi, Y., Leeflang, M. M. G., & Deeks, J. J. (2013). Empirical Evidence of the Importance of Comparative Studies of Diagnostic Test Accuracy. Annals of Internal Medicine. https://doi.org/10.7326/0003-4819-158-7-201304020-00006