Validity of a long-term cardiovascular disease risk prediction equation for low-incidence populations: The CAMUNI–MATISS Cohorts Collaboration Study-Reference-Cited by-同舟云学术

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Validity of a long-term cardiovascular disease risk prediction equation for low-incidence populations: The CAMUNI–MATISS Cohorts Collaboration Study

Published:2014-12-11 Issue:12 Volume:22 Page:1618-1625
ISSN:2047-4873
Container-title:European Journal of Preventive Cardiology
language:en
Short-container-title:Eur J Prev Cardiolog

Author:

Veronesi Giovanni¹,Gianfagna Francesco¹,Giampaoli Simona²,Chambless Lloyd E³,Grassi Guido⁴⁵,Cesana Giancarlo⁶,Ferrario Marco M¹

Affiliation:

1. Department of Clinical and Experimental Medicine. University of Insubria, Italy

2. Istituto Superiore di Sanità, Roma, Italy

3. Department of Biostatistics, University of North Carolina at Chapel Hill, USA

4. Clinica Medica, Università Milano-Bicocca, Italy

5. Istituto di Ricerca a Carattere Scientifico IRCCS Multimedica, Sesto San Giovanni (Milano), Italy

6. Research Center for Public Health, University of Milano-Bicocca, Italy

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine,Epidemiology

Link

http://journals.sagepub.com/doi/pdf/10.1177/2047487314563709

Reference31 articles.

1. The Challenges and Benefits of Cardiovascular Risk Assessment in Clinical Practice

2. Prediction of Lifetime Risk for Cardiovascular Disease by Risk Factor Burden at 50 Years of Age

3. Distribution of short and lifetime risks for cardiovascular disease in Italians

4. Predicting the 30-Year Risk of Cardiovascular Disease

5. Derivation, validation, and evaluation of a new QRISK model to estimate lifetime risk of cardiovascular disease: cohort study using QResearch database

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