The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Advances in Measuring the Effect of Individual Predictors of Cardiovascular Risk: The Role of Reclassification Measures
Open accessAbstract
Models for risk prediction are widely used in clinical practice to stratify risk and assign treatment strategies. The contribution of new biomarkers has largely been based on the area under the receiver-operating characteristic curve, but this measure can be insensitive to important changes in absolute risk. Methods based on risk stratification have recently been proposed to compare predictive models. Such methods include the reclassification calibration statistic, the net reclassification improvement, and the integrated discrimination improvement. This article demonstrates the use of reclassification measures and illustrates their performance for well-known cardiovascular risk predictors in a cohort of women. These measures are targeted at evaluating the potential of new models and markers to change risk strata and alter treatment decisions.
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Cites
A Randomized Trial of Low-Dose Aspirin in the Primary Prevention of Cardiovascular Disease in Women
Ridker, P. M., Cook, N. R., Lee, I.-M., Gordon, D., Gaziano, J. M., Manson, J. E., Hennekens, C. H., & Buring, J. E. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa050613 · Cited by 1,945
Self-citationRidker, P. M., Paynter, N. P., Rifai, N., Gaziano, J. M., & Cook, N. R. (2008) · Circulation · doi:10.1161/circulationaha.108.814251 · Cited by 841
Self-citationGenotype 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
Polymorphisms Associated with Cholesterol and Risk of Cardiovascular Events
Kathiresan, S., Melander, O., Anevski, D., Guiducci, C., Burtt, N. P., Roos, C., Hirschhorn, J. N., Berglund, G., Hedblad, B., Groop, L., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0706728 · Cited by 696
The effect of including C-reactive protein in cardiovascular risk prediction models for women
Cook, N. R., Buring, J. E., & Ridker, P. M. (2006) · Annals of Internal Medicine · doi:10.7326/0003-4819-145-1-200607040-00128 · Cited by 504
C-Reactive Protein and Reclassification of Cardiovascular Risk in the Framingham Heart Study
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“Other studies have presented similar results for some of these variables (7, 9, 22, 23).”
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2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure
Ponikowski, P., Voors, A. A., Anker, S. D., Bueno, H., Cleland, J. G. F., Coats, A. J. S., Falk, V., González-Juanatey, J. R., Harjola, V.-P., Jankowska, E. A., et al. (2016) · European Heart Journal · doi:10.1093/eurheartj/ehw128 · Cited by 11,429
2016 ESC Guidelines for the Diagnosis and Treatment of Acute and Chronic Heart Failure
Ponikowski, P., Voors, A. A., Anker, S. D., Bueno, H., Cleland, J. G. F., Coats, A. J. S., Falk, V., González-Juanatey, J. R., Harjola, V.-P., Jankowska, E. A., et al. (2016) · European Journal of Heart Failure · doi:10.1002/ejhf.592 · Cited by 5,866
Assessing the Performance of Prediction Models: A Framework for Traditional and Novel Measures
Steyerberg, E. W., Vickers, A. J., Cook, N. R., Gerds, T., Gonen, M., Obuchowski, N., Pencina, M. J., & Kattan, M. W. (2010) · Epidemiology · doi:10.1097/ede.0b013e3181c30fb2 · Cited by 5,170
Self-citationMoons, K. G. M., Altman, D. G., Reitsma, J. B., Ioannidis, J. P. A., Macaskill, P., Steyerberg, E. W., Vickers, A. J., Ransohoff, D. F., & Collins, G. S. (2015) · Annals of Internal Medicine · doi:10.7326/m14-0698 · Cited by 5,147
Ross, R., Blair, S. N., Arena, R., Church, T. S., Després, J.-P., Franklin, B. A., Haskell, W. L., Kaminsky, L. A., Levine, B. D., Lavie, C. J., et al. (2016) · Circulation · doi:10.1161/cir.0000000000000461 · Cited by 2,486
Metadata
- Authors
- Cook, N. R., & Ridker, P. M.
- Venue
- Annals of Internal Medicine
- Publisher
- American College of Physicians
- Published
- 2009-06-02
- Volume
- 150
- Issue
- 11
- Pages
- 795-802
- ISSN
- 0003-4819 (ISSN-L)
- 1539-3704
- OpenAlex
- W2068283389
- Cited by
- 458
- References
- 6
- FWCI
- 45.64
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Advances in Measuring the Effect of Individual Predictors of Cardiovascular Risk: The Role of Reclassification Measures. https://app.cochat.ai/papers/10.7326/0003-4819-150-11-200906020-00007
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- Cook, N. R., & Ridker, P. M. (2009). Advances in Measuring the Effect of Individual Predictors of Cardiovascular Risk: The Role of Reclassification Measures. Annals of Internal Medicine. https://doi.org/10.7326/0003-4819-150-11-200906020-00007
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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).
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