Comparison of the Framingham Risk Score, SCORE and WHO/ISH cardiovascular risk prediction models in an Asian population.

[1]  Ersen B. Colkesen,et al.  The Systematic COronary Risk Evaluation (SCORE) in a large UK population: 10-year follow-up in the EPIC-Norfolk prospective population study , 2015, European journal of preventive cardiology.

[2]  Catherine Paquet,et al.  Validation of continuous clinical indices of cardiometabolic risk in a cohort of Australian adults , 2014, BMC Cardiovascular Disorders.

[3]  Suzanne G. Leveille,et al.  Evaluation of the performance of existing non-laboratory based cardiovascular risk assessment algorithms , 2013, BMC Cardiovascular Disorders.

[4]  S. Mendis,et al.  Total cardiovascular risk assessment and management using two prediction tools, with and without blood cholesterol. , 2013, MEDICC review.

[5]  C. Sánchis,et al.  Framingham Risk Score for Prediction of Cardiovascular Diseases: A Population-Based Study from Southern Europe , 2013, PloS one.

[6]  Abdullahi O. Abdulkadri,et al.  Excess Cardiovascular Risk Burden in Jamaican Women Does Not Influence Predicted 10-Year CVD Risk Profiles of Jamaica Adults: An Analysis of the 2007/08 Jamaica Health and Lifestyle Survey , 2013, PloS one.

[7]  B. Buckley,et al.  Assessment of total cardiovascular risk using WHO/ISH risk prediction charts in three low and middle income countries in Asia , 2013, BMC Public Health.

[8]  M. Bots,et al.  Clustering of cardiovascular risk factors in a middle-income country: a call for urgency , 2013, European journal of preventive cardiology.

[9]  R. Zambahari,et al.  Women's cardiovascular health: perspectives from South-East Asia , 2012, Nature Reviews Cardiology.

[10]  Shah Ebrahim,et al.  European Guidelines on Cardiovascular Disease Prevention in Clinical Practice (Version 2012) , 2012, International Journal of Behavioral Medicine.

[11]  Nurina Musta’ani Hamedon,et al.  Trend Analysis of Medically Certified Death in Malaysia, 1995 - 2010 , 2012 .

[12]  Jennifer G. Robinson,et al.  Comparison of the Framingham and Reynolds Risk Scores for Global Cardiovascular Risk Prediction in the Multiethnic Women's Health Initiative , 2012, Circulation.

[13]  F. Hadaegh,et al.  Predictive accuracy of the ‘Framingham’s general CVD algorithm’ in a Middle Eastern population: Tehran Lipid and Glucose Study , 2011, International journal of clinical practice.

[14]  D. Hu,et al.  Epidemiology of cardiovascular disease in Asian women. , 2010, Nutrition, metabolism, and cardiovascular diseases : NMCD.

[15]  A Rogier T Donders,et al.  Unpredictable bias when using the missing indicator method or complete case analysis for missing confounder values: an empirical example. , 2010, Journal of clinical epidemiology.

[16]  Qingxia Chen,et al.  Missing covariate data in medical research: to impute is better than to ignore. , 2010, Journal of clinical epidemiology.

[17]  D. Lloyd‐Jones,et al.  Risk Prediction in Cardiovascular Medicine Cardiovascular Risk Prediction Basic Concepts, Current Status, and Future Directions , 2010 .

[18]  J. Boer,et al.  Evaluation of cardiovascular risk predicted by different SCORE equations: The Netherlands as an example , 2010, 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.

[19]  Margaret Sullivan Pepe,et al.  Contrasting Two Frameworks for ROC Analysis of Ordinal Ratings , 2010, Medical decision making : an international journal of the Society for Medical Decision Making.

[20]  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.

[21]  M. Pencina,et al.  General Cardiovascular Risk Profile for Use in Primary Care: The Framingham Heart Study , 2008, Circulation.

[22]  V. Gudnason,et al.  Estimation of 10-year risk of fatal cardiovascular disease and coronary heart disease in Iceland with results comparable with those of the Systematic Coronary Risk Evaluation project , 2007, 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.

[23]  Marit B Veierød,et al.  The ability of the SCORE high-risk model to predict 10-year cardiovascular disease mortality in Norway , 2007, 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.

[24]  Shah Ebrahim,et al.  European guidelines on cardiovascular disease prevention in clinical practice: executive summary. , 2007, Atherosclerosis.

[25]  H. Tunstall-Pedoe,et al.  Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. , 2003, European heart journal.

[26]  N. Cook.  Statistical evaluation of prognostic versus diagnostic models: beyond the ROC curve. , 2008, Clinical chemistry.

[27]  Giuseppe Mancia,et al.  World Health Organization (WHO) and International Society of Hypertension (ISH) risk prediction charts: assessment of cardiovascular risk for prevention and control of cardiovascular disease in low and middle-income countries. , 2007, Journal of hypertension.