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Literature DB >> 18550940

Evaluating new cardiovascular risk factors for risk stratification.

Ralph H Stern¹.

Abstract

Entities: Chemical

Mesh：

Substances：
C-Reactive Protein

Year: 2008 PMID： 18550940 PMCID： PMC8109942 DOI： 10.1111/j.1751-7176.2008.07814.x

Source DB: PubMed Journal: J Clin Hypertens (Greenwich) ISSN： 1524-6175 Impact factor: 3.738

× No keyword cloud information.

11 in total

1. Concordance evaluation of coronary risk scores: implications for cardiovascular risk screening.

Authors: Timothy M Reynolds; Patrick J Twomey; Anthony S Wierzbicki
Journal: Curr Med Res Opin Date: 2004-06 Impact factor: 2.580

Review 2. Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models.

Authors: Kelly H Zou; A James O'Malley; Laura Mauri
Journal: Circulation Date: 2007-02-06 Impact factor: 29.690

3. What price perfection? Calibration and discrimination of clinical prediction models.

Authors: G A Diamond
Journal: J Clin Epidemiol Date: 1992-01 Impact factor: 6.437

Review 4. Narrative review: Assessment of C-reactive protein in risk prediction for cardiovascular disease.

Authors: Donald M Lloyd-Jones; Kiang Liu; Lu Tian; Philip Greenland
Journal: Ann Intern Med Date: 2006-07-04 Impact factor: 25.391

5. The effect of including C-reactive protein in cardiovascular risk prediction models for women.

Authors: Nancy R Cook; Julie E Buring; Paul M Ridker
Journal: Ann Intern Med Date: 2006-07-04 Impact factor: 25.391

6. Multiple biomarkers for the prediction of first major cardiovascular events and death.

Authors: Thomas J Wang; Philimon Gona; Martin G Larson; Geoffrey H Tofler; Daniel Levy; Christopher Newton-Cheh; Paul F Jacques; Nader Rifai; Jacob Selhub; Sander J Robins; Emelia J Benjamin; Ralph B D'Agostino; Ramachandran S Vasan
Journal: N Engl J Med Date: 2006-12-21 Impact factor: 91.245

7. C-reactive protein and risk of cardiovascular disease in men and women from the Framingham Heart Study.

Authors: Peter W F Wilson; Byung-Ho Nam; Michael Pencina; Ralph B D'Agostino; Emelia J Benjamin; Christopher J O'Donnell
Journal: Arch Intern Med Date: 2005-11-28

8. Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: the Reynolds Risk Score.

Authors: Paul M Ridker; Julie E Buring; Nader Rifai; Nancy R Cook
Journal: JAMA Date: 2007-02-14 Impact factor: 56.272

9. Association of carotid artery intima-media thickness, plaques, and C-reactive protein with future cardiovascular disease and all-cause mortality: the Cardiovascular Health Study.

Authors: Jie J Cao; Alice M Arnold; Teri A Manolio; Joseph F Polak; Bruce M Psaty; Calvin H Hirsch; Lewis H Kuller; Mary Cushman
Journal: Circulation Date: 2007-06-18 Impact factor: 29.690

10. The distribution of 10-Year risk for coronary heart disease among US adults: findings from the National Health and Nutrition Examination Survey III.

Authors: Earl S Ford; Wayne H Giles; Ali H Mokdad
Journal: J Am Coll Cardiol Date: 2004-05-19 Impact factor: 24.094

6 in total

Evaluating new cardiovascular risk factors for risk stratification.

1. Concordance evaluation of coronary risk scores: implications for cardiovascular risk screening.

Review 2. Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models.

3. What price perfection? Calibration and discrimination of clinical prediction models.

Review 4. Narrative review: Assessment of C-reactive protein in risk prediction for cardiovascular disease.

5. The effect of including C-reactive protein in cardiovascular risk prediction models for women.

6. Multiple biomarkers for the prediction of first major cardiovascular events and death.

7. C-reactive protein and risk of cardiovascular disease in men and women from the Framingham Heart Study.

8. Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: the Reynolds Risk Score.

9. Association of carotid artery intima-media thickness, plaques, and C-reactive protein with future cardiovascular disease and all-cause mortality: the Cardiovascular Health Study.

10. The distribution of 10-Year risk for coronary heart disease among US adults: findings from the National Health and Nutrition Examination Survey III.

1. Assessing risk prediction models in case-control studies using semiparametric and nonparametric methods.

2. Problems with risk reclassification methods for evaluating prediction models.

3. Measures to summarize and compare the predictive capacity of markers.

4. Testing for improvement in prediction model performance.

5. Measuring the performance of markers for guiding treatment decisions.

6. The potential of genes and other markers to inform about risk.