The Clinical Relevance of Methods for Handling Inconclusive Medical Test Results: Quantification of Uncertainty in Medical Decision-Making and Screening
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Background: although the existence of inconclusive medical test results or bio-markers is widely recognized, there are indications that this inherent diagnostic uncertainty is sometimes ignored. This paper discusses three methods for defining and determining inconclusive medical test results, which use different definitions and differ in clinical relevance. Methods: the TG-ROC (two graphs receiver operating characteristics) method is the easiest to use, while the grey zone method and the uncertain interval method require more extensive calculations. Results: this paper discusses the technical details of the methods, as well as advantages and disadvantages for their clinical use. TG-ROC and the grey zone method can help in the acquisition of high rates of diagnostic certainty, but can exclude large groups. The uncertain interval method can prevent decisions that are the most uncertain, invalid and unreliable, while excluding smaller groups. Conclusions: the identification of uncertain test scores is relevant, because these scores indicate the need to obtain better information or to await further developments. The methods presented help to determine inconclusive test scores and can help to reduce erroneous decisions. However, further research and development is desirable.
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Because factuality in medicine can sometimes be a grey area, especially when clinical guidelines evolve or expert consensus varies, automated metrics alone may not suffice.
“Because factuality in medicine can sometimes be a”
From Trustworthy Medical Question Answering: An Evaluation-Centric Survey (2025) · cites this paper as Landsheer, 2018
The Introduction (page unavailable) discusses inconclusive diagnostic test results, not whether medical statements are factually correct. Searches for evolving clinical guidelines, varying expert consensus, and automated factuality metrics found no passage addressing those claims. (LLM, conf=0.75)
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Trustworthy Medical Question Answering: An Evaluation-Centric Survey
Wang, Y., Wang, B., Mercer, R. E., Rudzicz, F., Roy, S. S., Ren, P., Chen, Z., & Wang, X. (2025) · arXiv · doi:10.48550/arxiv.2506.03659
“Because factuality in medicine can sometimes be a “grey area”, especially when clinical guidelines evolve or expert consensus varies, automated metrics alone may not suffice (Landsheer, 2018).”
- Authors
- Landsheer, J. A.
- Affiliations
- Utrecht University (NL)
- Corresponding author
- Landsheer, Johannes A.
- Venue
- Diagnostics
- Publisher
- MDPI AG
- Published
- 2018-05-09
- Volume
- 8
- Issue
- 2
- Pages
- 32
- ISSN
- 2075-4418 (ISSN-L)
- PMC
- PMC6023344
- OpenAlex
- W2800714951
- Cited by
- 27
- References
- 0
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 2 · 2023: 8 · 2022: 3 · 2021: 5 · 2020: 3 · 2019: 2
- FWCI
- 0.33
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Diagnostics (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Topics
- Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
- Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- diagnostic uncertainty, uncertainty quantification, receiver operating characteristic, diagnostic decision-making, screening, biomarkers, diagnostic certainty
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