Literature DB >> 20644026

Cardiovascular risk-estimation systems in primary prevention: do they differ? Do they make a difference? Can we see the future?

Marie Therese Cooney1, Alexandra Dudina, Ralph D'Agostino, Ian M Graham.   

Abstract

Mesh：

Year:  2010        PMID： 20644026     DOI： 10.1161/CIRCULATIONAHA.109.852756

Source DB:  PubMed          Journal:  Circulation        ISSN： 0009-7322            Impact factor:   29.690


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  78 in total

1.  Comparability of total cardiovascular disease risk estimates using laboratory and non-laboratory based assessments in urban-dwelling South Africans: the CRIBSA study.

Authors:  Nasheeta Peer; Carl Lombard; Krisela Steyn; Thomas Gaziano; Naomi Levitt
Journal:  S Afr Med J       Date:  2014-08-13

2.  Aggregating traditional cardiovascular disease risk factors to assess the cardiometabolic health of childhood cancer survivors: an analysis from the Cardiac Risk Factors in Childhood Cancer Survivors Study.

Authors:  David C Landy; Tracie L Miller; Gabriela Lopez-Mitnik; Stuart R Lipsitz; Andrea S Hinkle; Louis S Constine; Carol A French; Amy M K Rovitelli; M Jacob Adams; Steven E Lipshultz
Journal:  Am Heart J       Date:  2012-02       Impact factor: 4.749

3.  Evaluation of patients diagnosed with essential arterial hypertension through network analysis.

Authors:  L Suciu; C Cristescu; A Topîrceanu; L Udrescu; M Udrescu; V Buda; M C Tomescu
Journal:  Ir J Med Sci       Date:  2015-08-29       Impact factor: 1.568

4.  Quantifying cardiometabolic risk using modifiable non-self-reported risk factors.

Authors:  Miguel Marino; Yi Li; Michael J Pencina; Ralph B D'Agostino; Lisa F Berkman; Orfeu M Buxton
Journal:  Am J Prev Med       Date:  2014-06-17       Impact factor: 5.043

5.  Validation of a Cardiovascular Disease Policy Microsimulation Model Using Both Survival and Receiver Operating Characteristic Curves.

Authors:  Ankur Pandya; Stephen Sy; Sylvia Cho; Sartaj Alam; Milton C Weinstein; Thomas A Gaziano
Journal:  Med Decis Making       Date:  2017-05-10       Impact factor: 2.583

6.  Implications of ACE (I/D) Gene Variants to the Genetic Susceptibility of Coronary Artery Disease in Asian Indians.

Authors:  G K Bhatti; J S Bhatti; R Vijayvergiya; B Singh
Journal:  Indian J Clin Biochem       Date:  2016-07-13

Review 7.  Prediction models for risk classification in cardiovascular disease.

Authors:  Mario Petretta; Alberto Cuocolo
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-10-03       Impact factor: 9.236

8.  Assessment of cardiovascular risk in low resource settings "So much to do - So little done".

Authors:  V Hariram; Sreenivas Kumar Arramraju
Journal:  Indian Heart J       Date:  2016-01-18

9.  Left ventricular hypertrophy and cardiovascular disease risk prediction and reclassification in blacks and whites: the Atherosclerosis Risk in Communities Study.

Authors:  Tochi M Okwuosa; Elsayed Z Soliman; Faye Lopez; Kim A Williams; Alvaro Alonso; Keith C Ferdinand
Journal:  Am Heart J       Date:  2014-10-16       Impact factor: 4.749

Review 10.  Prevention of stroke: a strategic global imperative.

Authors:  Valery L Feigin; Bo Norrving; Mary G George; Jennifer L Foltz; Gregory A Roth; George A Mensah
Journal:  Nat Rev Neurol       Date:  2016-07-22       Impact factor: 42.937
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