Evaluation of the Framingham risk score in the European Prospective Investigation of Cancer-Norfolk cohort: does adding glycated hemoglobin improve the prediction of coronary heart disease events?
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S. Sharp | N. Wareham | K. Khaw | S. Griffin | S. Boekholdt | R. Simmons | L. Sargeant
[1] M S Pepe,et al. Comments on ‘Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond’ by M. J. Pencina et al., Statistics in Medicine (DOI: 10.1002/sim.2929) , 2008, Statistics in medicine.
[2] 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.
[3] Algorithms for assessing cardiovascular risk in women. , 2007, JAMA.
[4] R. Stevens,et al. Algorithms for assessing cardiovascular risk in women. , 2007, JAMA.
[5] Thomas J. Wang,et al. Algorithms for assessing cardiovascular risk in women. , 2007, JAMA.
[6] M. Pencina,et al. Algorithms for assessing cardiovascular risk in women. , 2007, JAMA.
[7] M. Hanefeld,et al. Rosiglitazone evaluated for cardiovascular outcomes--an interim analysis. , 2007, The New England journal of medicine.
[8] N. Cook. Use and Misuse of the Receiver Operating Characteristic Curve in Risk Prediction , 2007, Circulation.
[9] 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.
[10] N. Wareham,et al. Glycated hemoglobin as a marker of cardiovascular risk , 2006, Current opinion in lipidology.
[11] T Fahey,et al. Accuracy and impact of risk assessment in the primary prevention of cardiovascular disease: a systematic review , 2006, Heart.
[12] M. Laakso,et al. Effect of rosiglitazone on the frequency of diabetes in patients with impaired glucose tolerance or impaired fasting glucose: a randomised controlled trial , 2006, The Lancet.
[13] Patrick Royston,et al. The cost of dichotomising continuous variables , 2006, BMJ : British Medical Journal.
[14] A. Farmer. Metabolic syndrome and mortality , 2006, BMJ : British Medical Journal.
[15] G. Watt,et al. The accuracy of the Framingham risk-score in different socioeconomic groups: a prospective study. , 2005, The British journal of general practice : the journal of the Royal College of General Practitioners.
[16] A. Folsom,et al. Glycemic control and coronary heart disease risk in persons with and without diabetes: the atherosclerosis risk in communities study. , 2005, Archives of internal medicine.
[17] E. Ford,et al. Is nondiabetic hyperglycemia a risk factor for cardiovascular disease? A meta-analysis of prospective studies. , 2004, Archives of internal medicine.
[18] H. Gerstein. Glycosylated Hemoglobin: Finally Ready for Prime Time as a Cardiovascular Risk Factor , 2004, Annals of Internal Medicine.
[19] Neil R. Powe,et al. Meta-Analysis: Glycosylated Hemoglobin and Cardiovascular Disease in Diabetes Mellitus , 2004, Annals of Internal Medicine.
[20] N. Day,et al. Association of Hemoglobin A1c with Cardiovascular Disease and Mortality in Adults: The European Prospective Investigation into Cancer in Norfolk , 2004, Annals of Internal Medicine.
[21] R. Peters,et al. Macrophage migration inhibitory factor and the risk of myocardial infarction or death due to coronary artery disease in adults without prior myocardial infarction or stroke: the EPIC-Norfolk Prospective Population study. , 2004, The American journal of medicine.
[22] Tom Fahey,et al. Predictive accuracy of the Framingham coronary risk score in British men:prospective cohort study , 2003, BMJ : British Medical Journal.
[23] Helmut Schulte,et al. Framingham risk function overestimates risk of coronary heart disease in men and women from Germany--results from the MONICA Augsburg and the PROCAM cohorts. , 2003, European heart journal.
[24] 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.
[25] S. Fowler,et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. , 2002 .
[26] T. Valle,et al. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. , 2001, The New England journal of medicine.
[27] N. Wald,et al. When can a risk factor be used as a worthwhile screening test? , 1999, BMJ.
[28] N. Day,et al. EPIC-Norfolk: study design and characteristics of the cohort. European Prospective Investigation of Cancer. , 1999, British journal of cancer.
[29] S. Yusuf,et al. The relationship between glucose and incident cardiovascular events. A metaregression analysis of published data from 20 studies of 95,783 individuals followed for 12.4 years. , 1999, Diabetes care.
[30] Daniel Levy,et al. Accuracy of Death Certificates for Coding Coronary Heart Disease as the Cause of Death , 1998, Annals of Internal Medicine.
[31] R. Holman,et al. Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). UK Prospective Diabetes Study (UKPDS) Group. , 1998 .
[32] Uk-Prospective-Diabetes-Study-Group. Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33) , 1998, The Lancet.
[33] D. Levy,et al. Prediction of coronary heart disease using risk factor categories. , 1998, Circulation.
[34] H. Gerstein. Glucose: a Continuous Risk Factor for Cardiovascular Disease , 1997, Diabetic medicine : a journal of the British Diabetic Association.
[35] E. DeLong,et al. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. , 1988, Biometrics.
[36] W. Kannel,et al. Representativeness of the Framingham risk model for coronary heart disease mortality: a comparison with a national cohort study. , 1987, Journal of chronic diseases.