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Identifying studies for systematic reviews of diagnostic tests was difficult due to the poor sensitivity and precision of methodologic filters and the lack of information in the abstract
Abstract
Background and objectives Methods to identify studies for systematic reviews of diagnostic accuracy are less well developed than for reviews of intervention studies. This study assessed (1) the sensitivity and precision of five published search strategies and (2) the reliability and accuracy of reviewers screening the results of the search strategy. Methods We compared the results of the search filters with the studies included in two systematic reviews, and assessed the interobserver reliability of two reviewers screening the list of articles generated by a search strategy. Results In the first review, the search strategy published by van der Weijden had the greatest sensitivity, and in the second, four search strategies had 100% sensitivity. There was "substantial" agreement between two reviewers, but in the first review each reviewer working on their own would have missed one paper eligible for inclusion in the review. Ascertainment intersection techniques indicate that it is unlikely that further papers have been missed in the screening process. Conclusion Published search strategies may miss papers for reviews of diagnostic test accuracy. Papers are not easily identified as studies of diagnostic test accuracy, and the lack of information in the abstract makes it difficult to assess the eligibility for inclusion in a systematic review.
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“A ‘single screening’ approach is cost-effective and reduces workload [48], but risks missing studies which can impact the findings of the review [49].”
From Systematic review of caregiver burden, unmet needs and quality-of-life among informal caregivers of patients with pancreatic cancer (2023) · cites this paper as [48]
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Metadata
- Authors
- Doust, J. A., Pietrzak, E., Sanders, S., & Glasziou, P. P.
- Affiliations
- The University of Queensland (AU)
- Corresponding author
- Doust, J.A.
- Venue
- Journal of Clinical Epidemiology
- Publisher
- Elsevier BV
- Published
- 2005-05
- Volume
- 58
- Issue
- 5
- Pages
- 444-449
- ISSN
- 0895-4356 (ISSN-L)
- OpenAlex
- W2036806176
- Cited by
- 106
- References
- 12
- Citations by year
- 2026: 1 · 2024: 4 · 2023: 3 · 2022: 4 · 2021: 12 · 2020: 6 · 2019: 4 · 2018: 11 · 2017: 7 · 2016: 4 · 2015: 8 · 2014: 7 · 2013: 7 · 2012: 5
- FWCI
- 0.28
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Clinical Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Keywords
- search filters, diagnostic accuracy, abstract screening, inter-rater reliability
- MeSH terms
- Abstracting and Indexing, Acoustic Impedance Tests, Cardiac Output, Low, Otitis Media with Effusion, Review Literature as Topic, Observer Variation, MEDLINE, Natriuretic Peptides
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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