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Empirical evidence of design-related bias in studies of diagnostic tests.
Abstract
CONTEXT: The literature contains a large number of potential biases in the evaluation of diagnostic tests. Strict application of appropriate methodological criteria would invalidate the clinical application of most study results. OBJECTIVE: To empirically determine the quantitative effect of study design shortcomings on estimates of diagnostic accuracy. DESIGN AND SETTING: Observational study of the methodological features of 184 original studies evaluating 218 diagnostic tests. Meta-analyses on diagnostic tests were identified through a systematic search of the literature using MEDLINE, EMBASE, and DARE databases and the Cochrane Library (1996-1997). Associations between study characteristics and estimates of diagnostic accuracy were evaluated with a regression model. MAIN OUTCOME MEASURES: Relative diagnostic odds ratio (RDOR), which compared the diagnostic odds ratios of studies of a given test that lacked a particular methodological feature with those without the corresponding shortcomings in design. RESULTS: Fifteen (6.8%) of 218 evaluations met all 8 criteria; 64 (30%) met 6 or more. Studies evaluating tests in a diseased population and a separate control group overestimated the diagnostic performance compared with studies that used a clinical population (RDOR, 3.0; 95% confidence interval [CI], 2.0-4.5). Studies in which different reference tests were used for positive and negative results of the test under study overestimated the diagnostic performance compared with studies using a single reference test for all patients (RDOR, 2.2; 95% CI, 1.5-3.3). Diagnostic performance was also overestimated when the reference test was interpreted with knowledge of the test result (RDOR, 1.3; 95% CI, 1.0-1.9), when no criteria for the test were described (RDOR, 1.7; 95% CI, 1.1-2.5), and when no description of the population under study was provided (RDOR, 1.4; 95% CI, 1.1-1.7). CONCLUSION: These data provide empirical evidence that diagnostic studies with methodological shortcomings may overestimate the accuracy of a diagnostic test, particularly those including nonrepresentative patients or applying different reference standards.
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“Despite their apparent simplicity, such studies are at risk of bias.6 7”
From STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies (2015) · cites this paper as [6]
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“Knowledge of the predictors might influence outcome assessment, resulting in a biased estimation of the predictor effects for the outcome [6],[17],[39].”
From Reporting and Methods in Clinical Prediction Research: A Systematic Review (2012) · cites this paper as [17]
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Metadata
- Authors
- Lijmer, J. G.
- Affiliations
- Amsterdam UMC Location University of Amsterdam (NL)
- Corresponding author
- Lijmer, Jeroen G.
- ORCID
- Lijmer, Jeroen G.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 1999-09-15
- Volume
- 282
- Issue
- 11
- Pages
- 1061
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W1971348077
- Cited by
- 1,861
- References
- 38
- Citations by year
- 2026: 56 · 2025: 38 · 2024: 38 · 2023: 45 · 2022: 45 · 2021: 48 · 2020: 74 · 2019: 50 · 2018: 73 · 2017: 66 · 2016: 79 · 2015: 82 · 2014: 73 · 2013: 78 · 2012: 79
- FWCI
- 92.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Pure Amsterdam UMC (submittedVersion)
- 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 › Family Practice › Clinical Reasoning and Diagnostic Skills
- Keywords
- diagnostic accuracy, study design bias, methodological quality, diagnostic odds ratio, reference materials
- MeSH terms
- Diagnostic Tests, Routine, Evaluation Studies as Topic, Quality Control, Reference Standards, Regression Analysis, Research Design, Sensitivity and Specificity, Bias, Odds Ratio
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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