Literature DB >> 21257097

Prediction of cardiovascular disease events.

Peter W F Wilson1.   

Abstract

Observational studies with incidence of cardiovascular disease (CVD) events have typically provided the information that is used. Prediction of risk is dependent on accurate and precise baseline measurements in persons without coronary disease at baseline. Follow-up of 5 to 10 years is a typical interval of interest for the prediction of coronary disease events in adults who are asymptomatic at the baseline. Performance criteria for risk estimation include discrimination, calibration, and reclassification, and newer heart disease risk factors and biomarkers can be evaluated in the context of existing risk estimation approaches.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 21257097     DOI: 10.1016/j.ccl.2010.10.004

Source DB:  PubMed          Journal:  Cardiol Clin        ISSN: 0733-8651            Impact factor:   2.213


  4 in total

1.  Growth differentiation factor 15: a canary in a coal mine?

Authors:  Jennifer E Ho; Thomas J Wang
Journal:  Clin Chem       Date:  2011-11-07       Impact factor: 8.327

Review 2.  Biomarkers and cardiovascular risk assessment for primary prevention: an update.

Authors:  Lauren G Gilstrap; Thomas J Wang
Journal:  Clin Chem       Date:  2011-11-28       Impact factor: 8.327

3.  Development of a multi-institutional cohort to facilitate cardiovascular disease biomarker validation using existing biorepository samples linked to electronic health records.

Authors:  Deanna S Cross; Catherine A McCarty; Steven R Steinhubl; David J Carey; Porat M Erlich
Journal:  Clin Cardiol       Date:  2013-06-05       Impact factor: 2.882

4.  Prognostic value of cardiovascular disease status: the Leiden 85-plus study.

Authors:  Petra G van Peet; Yvonne M Drewes; Anton J M de Craen; Rudi G J Westendorp; Jacobijn Gussekloo; Wouter de Ruijter
Journal:  Age (Dordr)       Date:  2012-07-04
  4 in total

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