Coronary artery calcium score and cardiovascular event prediction [2]

JAMA

Volumn 304, Issue 7, 2010, Pages 741-742

  McEvoy, John W ^a  

^a JOHNS HOPKINS HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANGINA PECTORIS; ARTERY CALCIFICATION; CARDIOVASCULAR DISEASE; CLINICAL ASSESSMENT; CORONARY ARTERY; DISEASE CLASSIFICATION; HEART DEATH; HEART INFARCTION; HUMAN; ISCHEMIC HEART DISEASE; LETTER; PREDICTOR VARIABLE; PRIORITY JOURNAL; RESUSCITATION; RISK ASSESSMENT; RISK FACTOR; STANDARDIZATION; CALCINOSIS; CARDIOMYOPATHY; CLASSIFICATION; CORONARY ARTERY DISEASE; CORONARY BLOOD VESSEL; FORECASTING; METHODOLOGY; NOTE; PATHOLOGY; STATISTICAL ANALYSIS;

CALCINOSIS; CARDIOMYOPATHIES; CORONARY DISEASE; CORONARY VESSELS; DATA INTERPRETATION, STATISTICAL; FORECASTING; HUMANS; RISK ASSESSMENT;

EID: 77955752901     PISSN: 00987484     EISSN: 15383598     Source Type: Journal    
DOI: 10.1001/jama.2010.1143     Document Type: Letter

References (5)

1. Polonsky TS, McClelland RL, Jorgensen NW, et al. Coronary artery calcium score and risk classification for coronary heart disease prediction. JAMA. 2010;303 (16):1610-1616.
2. Ioannidis JP, Tzoulaki I. What makes a good predictor? the evidence applied to coronary artery calcium score. JAMA. 2010;303(16):1646-1647.
3. Yeboah J, Folsom AR, Burke GL, et al. Predictive value of brachial flow-mediated dilation for incident cardiovascular events in a population-based study: the multi-ethnic study of atherosclerosis. Circulation. 2009;120(6):502-509.
4. Kaul S, Diamond GA. Trial and error: how to avoid commonly encountered limitations of published clinical trials. J Am Coll Cardiol. 2010;55(5):415-427.
5. Cook NR, Ridker PM. Advances in measuring the effect of individual predictors of cardiovascular risk: the role of reclassification measures. Ann Intern Med. 2009;150(11):795-802.