Journal article

Framingham, SCORE, and DECODE risk equations do not provide reliable cardiovascular risk estimates in Type 2 diabetes

Abstract:: Accurate cardiovascular disease (CVD) risk estimates can inform choice of therapeutic strategies for individuals, provided they have been appropriately validated (1). Risk calculators are of particular relevance in diabetic patients given their 2–4 times higher CVD risk compared with the nondiabetic population (2). Framingham Study (3) risk equations for coronary heart disease (CHD) and CVD, based on age, sex, blood pressure, cholesterol (total and HDL), and smoking, with diabetes status as a categorical variable, have been validated prospectively in general populations (4,5) but not in diabetic subjects (6). The Systematic Coronary Risk Evaluation (SCORE) Project risk scores for fatal CHD and CVD (7) appear to overestimate risk in the general population (8,9) and have not been evaluated in diabetes. Following recognition of glycemia as a CVD risk factor (10), the Diabetes Epidemiology: Collaborative Analysis of Diagnostic Criteria in Europe (DECODE) Study Group developed a fatal CVD risk equation incorporating glucose tolerance status and fasting plasma glucose (11). We have evaluated these three risk equations in patients with type 2 diabetes using UK Prospective Diabetes Study (UKPDS) data (12).

Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Coleman, R., Stevens, R., Retnakaran, R., & Holman, R. (2007). Framingham, SCORE, and DECODE risk equations do not provide reliable cardiovascular risk estimates in Type 2 diabetes. Diabetes Care, 30(5), 1292–1293.

MLA Style

Coleman, R., et al. “Framingham, SCORE, and DECODE Risk Equations Do Not Provide Reliable Cardiovascular Risk Estimates in Type 2 Diabetes.” Diabetes Care, vol. 30, no. 5, American Diabetes Association, 2007, pp. 1292–93.

Chicago Style

Coleman, R, R Stevens, R Retnakaran, and R Holman. 2007. “Framingham, SCORE, and DECODE Risk Equations Do Not Provide Reliable Cardiovascular Risk Estimates in Type 2 Diabetes.” Diabetes Care 30 (5): 1292–93.
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Files:: DTU#328 Final Submitted Version.pdf

(Preview, Accepted manuscript, pdf, 225.3KB, Terms of use)

Publisher copy:: 10.2337/dc06-1358

Authors

+ Coleman, R More by this author

Institution:: University of Oxford
Division:: MSD
Department:: RDM
Sub department:: OCDEM
Role:: Author

+ Stevens, R More by this author

Institution:: University of Oxford
Division:: MSD
Department:: Primary Care Health Sciences
Oxford college:: Kellogg College
Role:: Author

+ Retnakaran, R More by this author

Role:: Author

+ Holman, R More by this author

Institution:: University of Oxford
Division:: MSD
Department:: RDM
Sub department:: OCDEM
Role:: Author

Publisher:: American Diabetes Association
Journal:: Diabetes care More from this journal
Volume:: 30
Issue:: 5
Pages:: 1292-1293
Publication date:: 2007-02-08
DOI:: 10.2337/dc06-1358
EISSN:: 1935-5548
ISSN:: 0149-5992
Pmid:: 17290036

Language:: English
Keywords:: SBTMR
Pubs id:: pubs:13105
UUID:: uuid:083772e4-0225-48a7-a1aa-7b47399d48f2
Local pid:: pubs:13105
Source identifiers:: 13105
Deposit date:: 2017-09-21

Terms of use

Copyright holder:: American Diabetes Association
Copyright date:: 2007
Notes:: © 2007 by the American Diabetes Association. This is the accepted manuscript version of the article. The final version is available online from American Diabetes Association at: https://doi.org/10.2337/dc06-1358

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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