Comparisons of established risk prediction models for cardiovascular disease: systematic review
暂无分享,去创建一个
John P A Ioannidis | Ioanna Tzoulaki | George C M Siontis | J. Ioannidis | I. Tzoulaki | G. Siontis | Konstantinos C. Siontis | Konstantinos C Siontis
[1] G. Assmann,et al. Simple Scoring Scheme for Calculating the Risk of Acute Coronary Events Based on the 10-Year Follow-Up of the Prospective Cardiovascular Münster (PROCAM) Study , 2002, Circulation.
[2] H. Tunstall-Pedoe,et al. Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. , 2003, European heart journal.
[3] Gary S Collins,et al. An independent and external validation of QRISK2 cardiovascular disease risk score: a prospective open cohort study , 2010, BMJ : British Medical Journal.
[4] J. Mckenney,et al. National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) , 2002 .
[5] John P A Ioannidis,et al. Perfect study, poor evidence: interpretation of biases preceding study design. , 2008, Seminars in hematology.
[6] K. Anderson,et al. Cardiovascular disease risk profiles. , 1991, American heart journal.
[7] Ralph D'Agostino,et al. Cardiovascular Risk-Estimation Systems in Primary Prevention: Do They Differ? Do They Make a Difference? Can We See the Future? , 2010, Circulation.
[8] R. Matthews,et al. What are the implications of optimism bias in clinical research? , 2006, The Lancet.
[9] M. Woodward,et al. Does fibrinogen add to prediction of cardiovascular disease? Results from the Scottish Heart Health Extended Cohort Study , 2009, British journal of haematology.
[10] J. Ioannidis,et al. Assessment of claims of improved prediction beyond the Framingham risk score. , 2009, JAMA.
[11] K. Zou,et al. Receiver-Operating Characteristic Analysis for Evaluating Diagnostic Tests and Predictive Models , 2007, Circulation.
[12] M. Pencina,et al. General Cardiovascular Risk Profile for Use in Primary Care: The Framingham Heart Study , 2008, Circulation.
[13] Nils Lid Hjort,et al. Goodness‐of‐fit processes for logistic regression: simulation results , 2002, Statistics in medicine.
[14] A. Sheikh,et al. Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2 , 2008, BMJ : British Medical Journal.
[15] Dong Zhao,et al. Predictive value for the Chinese population of the Framingham CHD risk assessment tool compared with the Chinese Multi-Provincial Cohort Study. , 2004, JAMA.
[16] A. Dobson,et al. Recalibration and validation of the SCORE risk chart in the Australian population: the AusSCORE chart , 2009, European journal of cardiovascular prevention and rehabilitation : official journal of the European Society of Cardiology, Working Groups on Epidemiology & Prevention and Cardiac Rehabilitation and Exercise Physiology.
[17] F. Buitrago,et al. Performance of the Framingham and SCORE cardiovascular risk prediction functions in a non-diabetic population of a Spanish health care centre: a validation study , 2010, Scandinavian journal of primary health care.
[18] N. Unwin,et al. Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) Detection, Evaluation, and Treatment of High Blood Cholesterol Education Program (NCEP) Expert Panel on Executive Summary of the Third Report of the National , 2009 .
[19] Gary S Collins,et al. An independent external validation and evaluation of QRISK cardiovascular risk prediction: a prospective open cohort study , 2009, BMJ : British Medical Journal.
[20] Nancy R Cook,et al. Advances in Measuring the Effect of Individual Predictors of Cardiovascular Risk: The Role of Reclassification Measures , 2009, Annals of Internal Medicine.
[21] D. Levy,et al. Prediction of coronary heart disease using risk factor categories. , 1998, Circulation.
[22] James F Sallis,et al. AHA Guidelines for Primary Prevention of Cardiovascular Disease and Stroke: 2002 Update: Consensus Panel Guide to Comprehensive Risk Reduction for Adult Patients Without Coronary or Other Atherosclerotic Vascular Diseases. American Heart Association Science Advisory and Coordinating Committee. , 2002, Circulation.
[23] J. Steiner,et al. Prediction of Cardiovascular Death in Racial/Ethnic Minorities Using Framingham Risk Factors , 2010, Circulation. Cardiovascular quality and outcomes.
[24] J. Ioannidis,et al. Use of reclassification for assessment of improved prediction: an empirical evaluation. , 2011, International journal of epidemiology.
[25] J. Hanley,et al. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. , 1983, Radiology.
[26] J. Potter,et al. Performance of the ASSIGN cardiovascular disease risk score on a UK cohort of patients from general practice , 2010, Heart.
[27] L. Lind,et al. Evaluation of a scoring scheme, including proinsulin and the apolipoprotein B/apolipoprotein A1 ratio, for the risk of acute coronary events in middle-aged men: Uppsala Longitudinal Study of Adult Men (ULSAM). , 2005, American heart journal.
[28] N. Paynter,et al. C-Reactive Protein and Parental History Improve Global Cardiovascular Risk Prediction: The Reynolds Risk Score for Men , 2008, Circulation.
[29] Michael J Pencina,et al. Novel metrics for evaluating improvement in discrimination: net reclassification and integrated discrimination improvement for normal variables and nested models , 2012, Statistics in medicine.
[30] M. Pencina,et al. Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond , 2008, Statistics in medicine.
[31] M. Weinstein,et al. A Comparative Assessment of Non-Laboratory-Based versus Commonly Used Laboratory-Based Cardiovascular Disease Risk Scores in the NHANES III Population , 2011, PloS one.
[32] P Ducimetière,et al. Are the Framingham and PROCAM coronary heart disease risk functions applicable to different European populations? The PRIME Study. , 2003, European heart journal.
[33] E. Steyerberg,et al. Prediction of mortality risk in the elderly. , 2006, The American journal of medicine.
[34] Rowena J Dolor,et al. Evidence-based guidelines for cardiovascular disease prevention in women: 2007 update. , 2007, Journal of the American College of Cardiology.
[35] Arch G Mainous,et al. A coronary heart disease risk score based on patient-reported information. , 2007, The American journal of cardiology.
[36] G. Nijpels,et al. Prediction of Coronary Heart Disease Risk in a General, Pre-Diabetic, and Diabetic Population During 10 Years of Follow-up: Accuracy of the Framingham, SCORE, and UKPDS Risk Functions , 2009, Diabetes Care.
[37] N. Cook. Statistical evaluation of prognostic versus diagnostic models: beyond the ROC curve. , 2008, Clinical chemistry.
[38] J. Hanley,et al. The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.
[39] R. D'Agostino,et al. Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation. , 2001, JAMA.
[40] Patrick S Romano,et al. Size matters to a model's fit. , 2007, Critical care medicine.
[41] D. Mozaffarian,et al. Executive summary: heart disease and stroke statistics--2010 update: a report from the American Heart Association. , 2010, Circulation.
[42] J. Hippisley-Cox,et al. Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study , 2007, BMJ : British Medical Journal.
[43] Donald Lloyd-Jones,et al. Screening for cardiovascular risk in asymptomatic patients. , 2010, Journal of the American College of Cardiology.
[44] J. Mckenney,et al. Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III). , 2001, JAMA.
[45] D. Mozaffarian,et al. Heart disease and stroke statistics--2010 update: a report from the American Heart Association. , 2010, Circulation.
[46] Jackie A Cooper,et al. A comparison of the PROCAM and Framingham point-scoring systems for estimation of individual risk of coronary heart disease in the Second Northwick Park Heart Study. , 2005, Atherosclerosis.
[47] John P A Ioannidis,et al. What makes a good predictor?: the evidence applied to coronary artery calcium score. , 2010, JAMA.
[48] N. Cook. Use and Misuse of the Receiver Operating Characteristic Curve in Risk Prediction , 2007, Circulation.
[49] N. Cook,et al. Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: the Reynolds Risk Score. , 2007, JAMA.
[50] M. Woodward,et al. Adding social deprivation and family history to cardiovascular risk assessment: the ASSIGN score from the Scottish Heart Health Extended Cohort (SHHEC) , 2005, Heart.
[51] G. Apolone,et al. One model, several results: the paradox of the Hosmer-Lemeshow goodness-of-fit test for the logistic regression model. , 2000, Journal of epidemiology and biostatistics.
[52] Salvatore Panico,et al. Prediction of coronary events in a low incidence population. Assessing accuracy of the CUORE Cohort Study prediction equation. , 2005, International journal of epidemiology.
[53] Prevention of Cardiovascular Disease Guidelines for assessment and management of cardiovascular risk , 2007 .
[54] A. Hoes,et al. Estimation of cardiovascular risk: a comparison between the Framingham and the SCORE model in people under 60 years of age , 2008, European journal of cardiovascular prevention and rehabilitation : official journal of the European Society of Cardiology, Working Groups on Epidemiology & Prevention and Cardiac Rehabilitation and Exercise Physiology.