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The Limitations of Risk Factors as Prognostic Tools
Abstract
Identification of new risk factors for specific diseases is an enduring theme in medical research. Advances in molecular biology, genetics, and computational biology are accelerating the pace of this work. The research seeks to increase our understanding of the causes of diseases, but there is also hope that the recognition of new risk factors will lead to improved methods for identifying persons who are in the early stages of, or at high risk for, the diseases of concern. Research has shown, however, that a risk factor must have a much stronger association with the disease outcome than we ordinarily see . . .
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Cited by
Pencina, M. J., D' Agostino, R. B., D' Agostino, R. B., & Vasan, R. S. (2008) · Statistics in Medicine · doi:10.1002/sim.2929 · Cited by 6,493
Use and Misuse of the Receiver Operating Characteristic Curve in Risk Prediction
Cook, N. R. (2007) · Circulation · doi:10.1161/circulationaha.106.672402 · Cited by 2,112
Genomewide Association Studies and Assessment of the Risk of Disease
Manolio, T. A. (2010) · New England Journal of Medicine · doi:10.1056/nejmra0905980 · Cited by 1,512
Update on acute coronary syndromes: the pathologists' view
Falk, E., Nakano, M., Bentzon, J. F., Finn, A. V., & Virmani, R. (2013) · European Heart Journal · doi:10.1093/eurheartj/ehs411 · Cited by 1,047
Genotype score in addition to common risk factors for prediction of type 2 diabetes
Meigs, J. B., Shrader, P., Sullivan, L. M., McAteer, J. B., Fox, C. S., Dupuis, J., Manning, A. K., Florez, J. C., Wilson, P. W. F., D'Agostino, R. B., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0804742 · Cited by 759
Metadata
- Authors
- Ware, J. H.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2006-12-21
- Volume
- 355
- Issue
- 25
- Pages
- 2615-2617
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W1987424755
- Cited by
- 466
- References
- 0
- FWCI
- 38.74
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
