Methodological issues in cardiovascular epidemiology: The risk of determining absolute risk through statistical models

Vascular Health and Risk Management

Volumn 2, Issue 3, 2006, Pages 309-315

  Panagiotakos, Demosthenes B ^a,b   Stavrinos, Vassilis ^a  

^a HAROKOPIO UNIVERSITY   (Greece)

^b NONE   (Greece)

Author keywords

Cardiovascular disease; Models; Risk

Indexed keywords

ACCURACY; BEHAVIOR; CARDIOVASCULAR DISEASE; CARDIOVASCULAR RISK; CULTURAL FACTOR; EUROPE; GENETIC VARIABILITY; HIGH RISK POPULATION; HUMAN; INCIDENCE; JAPAN; METHODOLOGY; PREDICTION; REVIEW; RISK ASSESSMENT; SOCIAL ASPECT; STATISTICAL ANALYSIS; STATISTICAL MODEL; UNITED STATES;

AGE FACTORS; CALIBRATION; CARDIOVASCULAR DISEASES; DISCRIMINANT ANALYSIS; HUMANS; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); RISK ASSESSMENT;

EID: 33747786377     PISSN: 11766344     EISSN: None     Source Type: Journal    
DOI: 10.2147/vhrm.2006.2.3.309     Document Type: Review

References (40)

1. Anderson KM, Odell PM, Wilson PW, et al. 1991. Cardiovascular disease risk profiles. Am Heart J, 121:293-8.
2. Assmann G, Cullen P, Schulte H. 1998. The Munster Heart Study (PROCAM) - Results of follow-up at 8 years. Eur Heart J, 19:A2-11.
3. Bastuji-Garin S, Deverly A, Moyse D, et al. 2002. The Framingham prediction rule is not valid in a European population of treated hypertensive patients. J Hypertens, 20:1973-80.
4. Brindle P, Emberson J, Lampe F, et al. 2003. Predictive accuracy of the Framingham coronary risk score in British men: prospective cohort. BMJ, 327:1227-33.
5. [BCS] British Cardiac Society, British Hypertension Society, Diabetes UK, et al. 2003. JBS 2: Joint British Societies' guidelines on prevention of cardiovascular disease in clinical practice. Heart, 91(Suppl 5):v1-52.
6. Colombet I, Ruelland A, Chatellier G, et al. 2000. Models to predict cardiovascular risk: comparison of CART, multilayer perception and logistic regression. Proc AMIA Symp, 1:156-60.
7. Conroy RM, Pyorala K, Fitzgerald AP, et al. 2003. Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. Eur Heart J, 24:987-1003.
8. Cooper JA, Miler GJ, Humphries SE. 2005. 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. Atherosclerosis, 181:93-100.
9. D'Agostino RB, Grundy S, Sullivan LM, et al. 2001. CHD Risk Prediction Group. Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation. JAMA, 286:180-7.
10. De Backer G, Ambrosioni E, Borch-Johnsen K, et al. 2003. Executive summary. European guidelines on cardiovascular disease prevention in clinical practice. Third Joint Task Force of European and other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of eight societies and by invited experts. Eur Heart J, 24:1601-10.
11. Empana JP, Ducimetriere P, Arveiler D, et al. 2003. Are the Framingham and PROCAM coronary heart disease risk functions applicable to different European populations? The PRIME study. Eur Heart J, 24:1903-11.
12. Haq IU, Ramsay LE, Yeo WW, et al. 1999. Is the Framingham risk function valid for northern European populations? A comparison of methods for estimating absolute coronary risk in high risk men. Heart, 81:40-6.
13. Hense HW, Schulte H, Lowel H, et al. 2003. Framingham risk function overestimates risk of coronary heart disease in men and women from Germany - results from the MONICA Augsburg and the PROCAM cohorts. Eur Heart J, 24:937-45.
14. Hosmer D, Lemeshow S. 1989. Applied logistic regression. New York: John Wiley & Sons, Inc.
15. Kannel WB, McGee DL, Gordon T. 1976. A general cardiovascular risk profile: The Framingham Study. Am J Cardiol, 38:46-51.
16. Kleinbaum D. 1996. Survival analysis. New York: Springer-Verlag Inc.
17. Labarthe DR. 1998. Epidemiology and prevention of cardiovascular diseases. A global challenge. Maryland: Aspen Pub.
18. Laurier D, Nguyen PC, Cazelles B, et al. 1994. Estimation of CHD risk in a French working population using a modified Framingham model. The PCV-METRA Group. J Clin Epidemiol, 47:1353-64.
19. Liao Y, McGee DL, Cooper RS, et al. 1999. How generalizable are coronary risk prediction models? Comparison of Framingham and two national cohorts. Am Heart J, 137:837-45.
20. Liu J, Hong Y, D'Agostino RB, et al. 2004. Predictive value for the Chinese population of the Framingham CHD risk assessment tool compared with the Chinese Multi-provincial Cohort Study. JAMA, 291:2591-9.
21. Marrugat J, D'Agostino R, Sullivan L et al. 2003. An adaptation of the Framingham coronary heart disease risk function to European Mediterranean areas. J Epidemiol Commun Health, 57:634-8.
22. Menotti A, Lanti N, Puddu PE, et al. 2000. Coronary heart disease incidence in northern and southern European populations: A reanalysis of the seven countries study for a European coronary risk chart. Heart, 84:238-44.
23. Menotti A, Puddu PE, Lanti M. 2000. Comparison of the Framingham risk function-based coronary chart with a risk function from an Italian population study. Eur Heart J, 21:365-70.
24. [NCEP] National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). 2002. 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). Final report. Circulation, 106:3143-421.
25. Panagiotakos DB, Pitsavos C, Chrysohoou C, et al. 2002. Risk Stratification of Coronary Heart Disease, in Greece: Final Results from CARDIO2000 Epidemiological Study. Prev Med, 35:548-56.
26. Pyorala K, De Backer G, Graham I, et al. 1994. Prevention of coronary heart disease in clinical practice. Recommendations of the Task Force of the European Society of Cardiology, European Atherosclerosis Society and European Society of Hypertension. Eur Heart J, 15:1300-31.
27. Pyorala K. 2000. Assessment of coronary heart disease risk in populations with different levels of risk. Eur Heart J, 21:365-70.
28. Ramachandran S, French JM, Vanderpump MP, et al. 2000. Using the Framingham model to predict heart disease in the United Kingdom: retrospective study. BMJ, 320:676-7.
29. Ridker PM, Cook N. 2005. Should age and time be eliminated from cardiovascular risk prediction models? Rationale for the creation of a new national risk detection program. Circulation, 111:657-8.
30. Rothman K, Greenland S. 1998. Modern epidemiology. New York: Lippincot Williams & Wilkins Pub.
31. Schulte H, Assmann G. 1991. CHD risk equations, obtained from the Framingham Heart Study, applied to PROCAM Study. Cardiovasc Risk Factors, 1:126-33
32. Shaper AG, Pocock SJ, Phillips AN, et al. 1986. Identifying men at high risk of heart attacks: strategy for use in general practice. BMJ, 293:474-80.
33. Sing CF, Haviland MB, Templeton AR, et al. 1992. Biological complexity and strategies for finding DNA variations responsible for interindividual variation in risk of a common chronic diseases, CAD. Ann Med, 24:539-47.
34. [SJTFES] Second Joint Task Force of European and other Societies. 1998. Prevention of coronary heart disease in clinical practice. Recommendations of the Second Joint Task Force of European and other Societies on coronary prevention. Eur Heart J, 19:1434-503.
35. Thomsen TF, McGee D, Davidsen M, et al. 2002. A cross-validation of risk-scores for coronary heart disease mortality based on data from the Glostrup Population Studies and Framingham Heart Study. Int J Epidemiol, 31:817-22.
36. Tunstall-Pedoe H. 1991. The Dundee coronary risk-disk for management of change in risk factors. BMJ, 303:744-7
37. Voss R, Cullen P, Schulte H, et al. 2002. Prediction of risk of coronary events in middle-aged men in the Prospective Cardiovascular Munster Study (PROCAM) using neural networks. Int J Epidemiol, 31:1253-62.
38. Wilson PWF, D'Agostino RB, Levy D, et al. 1998. Prediction of coronary heart disease using risk factor categories. Circulation, 97:1837-47.
39. [WHO] World Health Organization. 2002. The atlas of heart disease and stroke [online]. Accessed 28 April 2006. URL: http://www.who.int/cardiovascular_diseases/resources/atlas/en/.
40. Yusuf S, Hawken S, Ounpuu S, et al. 2004. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet, 364:937-52.