The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A Probability Graph Describing the Predictive Value of a Highly Sensitive Diagnostic Test
Abstract
AN increasing number of publications designed to introduce science into the art of medical decision making have recently appeared.1 2 3 4 Although medical schools will eventually teach the new discipline, the graduate physician in practice has little time to learn it even if he has the prerequisites. To remedy this problem, one group has suggested that scientific decision making in medicine might be made as simple as looking up the correct prescription for a drug by the use of standard decision tables or decision graphs1; it is to this end that the present discussion is directed. One very important decision that . . .
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In the citing paper
“As the prevalence of amyloid-β pathology is closely linked to age and clinical syndrome18–20, clinical and demographic information can be used to infer the clinical pretest probability of amyloid-β positivity (Aβ+) based on standard clinical assessments17,21,22.”
From Diagnosis of Alzheimer's disease using plasma biomarkers adjusted to clinical probability (2024) · cites this paper as [17]
In the citing paper
“Individual-level interpretation of diagnostic test results requires knowledge of disease prevalence in relation to clinical presentation (clinical pretest probability).”
From Diagnosis of Alzheimer's disease using plasma biomarkers adjusted to clinical probability (2024) · cites this paper as [17]
Citations
Cites
Spratt, J. S., & Spjut, H. J. (1967) · Cancer · doi:10.1002/1097-0142(196711)20:11<1976::aid-cncr2820201125>3.0.co;2-m · Cited by 255
Decision analysis and clinical judgment
Schwartz, W. B., Gorry, G. A., Kassirer, J. P., & Essig, A. (1973) · The American Journal of Medicine · doi:10.1016/0002-9343(73)90203-9 · Cited by 245
Decision-Making Studies in Patient Management
Lusted, L. B. (1971) · New England Journal of Medicine · doi:10.1056/nejm197102252840805 · Cited by 239
Decision theory in cancer therapy
Henschke, U. K., & Flehinger, B. J. (1967) · Cancer · doi:10.1002/1097-0142(196711)20:11<1819::aid-cncr2820201103>3.0.co;2-u · Cited by 47
Cited by
Primer on Certain Elements of Medical Decision Making
McNeil, B. J., Keeler, E., & Adelstein, S. J. (1975) · New England Journal of Medicine · doi:10.1056/nejm197507312930501 · Cited by 1,140
Interpretation by Physicians of Clinical Laboratory Results
Casscells, W., Schoenberger, A., & Graboys, T. B. (1978) · New England Journal of Medicine · doi:10.1056/nejm197811022991808 · Cited by 755
HLA markers and prediction of clinical course and outcome in rheumatoid arthritis
Wagner, U. G., Kaltenhäuser, S., Sauer, H., Arnold, S., Seidel, W., Häntzschel, H., Kalden, J. R., & Waßmuth, R. (1997) · Arthritis & Rheumatism · doi:10.1002/art.1780400219 · Cited by 164
Diagnosis of Alzheimer's disease using plasma biomarkers adjusted to clinical probability
Therriault, J., Janelidze, S., Benedet, A. L., Ashton, N. J., Arranz Martínez, J., Gonzalez-Escalante, A., Bellaver, B., Alcolea, D., Vrillon, A., Karim, H., et al. (2024) · Nature Aging · doi:10.1038/s43587-024-00731-y · Cited by 131
“…with clinically diagnosed probable AD dementia with a negative plasma biomarker test result, even for highly accurate biomarkers such as plasma p-tau217. information can be used to infer the clinical pretest probability of amyloid-β positivity (Aβ+) based on standard clinical assessments 17,21,22 .”
Michelfelder, E. C., Gomez, C. A., Border, W. L., Gottliebson, W. M., & Franklin, C. (2005) · Circulation · doi:10.1161/circulationaha.105.534180 · Cited by 129
Metadata
- Authors
- Katz, M. A.
- Corresponding author
- Katz, Murray A.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 1974-11-21
- Volume
- 291
- Issue
- 21
- Pages
- 1115-1116
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2004305229
- Cited by
- 43
- References
- 3
- Citations by year
- 2024: 1 · 2018: 1 · 2014: 1 · 2013: 2 · 2012: 1
- FWCI
- 4.89
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Keywords
- probability graph, decision graphs, clinical decision-making, clinical decision support
- MeSH terms
- Epidemiology, Humans, Probability, Clinical Laboratory Techniques
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Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Probability Graph Describing the Predictive Value of a Highly Sensitive Diagnostic Test. https://app.cochat.ai/papers/10.1056/nejm197411212912106
- The paper
- Katz, M. A. (1974). A Probability Graph Describing the Predictive Value of a Highly Sensitive Diagnostic Test. New England Journal of Medicine. https://doi.org/10.1056/nejm197411212912106
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
