Journal
FAMILY PRACTICE
Volume 25, Issue 3, Pages 191-196Publisher
OXFORD UNIV PRESS
DOI: 10.1093/fampra/cmn024
Keywords
diabetes; general practice; incidence; risk score; screening
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Funding
- Medical Research Council [MC_U106179474, MC_U106179471] Funding Source: researchfish
- British Heart Foundation Funding Source: Medline
- Cancer Research UK Funding Source: Medline
- Medical Research Council [MC_U106179471, MC_U106179474] Funding Source: Medline
- Wellcome Trust Funding Source: Medline
- MRC [MC_U106179474] Funding Source: UKRI
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Background. Randomized trials have demonstrated that Type 2 diabetes is preventable among high-risk individuals. To date, such individuals have been identified through population screening using the oral glucose tolerance test. Objective. To assess whether a risk score comprising only routinely collected non-biochemical parameters was effective in identifying those at risk of developing Type 2 diabetes. Methods. Population-based prospective cohort (European Prospective Investigation of Cancer-Norfolk). Participants aged 40-79 recruited from UK general practices attended a health check between 1993 and 1998 (n = 25 639) and were followed for a mean of 5 years for diabetes incidence. The Cambridge Diabetes Risk Score was computed for 24 495 individuals with baseline data on age, sex, prescription of steroids and anti-hypertensive medication, family history of diabetes, body mass index and smoking status. We examined the incidence of diabetes across quintiles of the risk score and plotted a receiver operating characteristic (ROC) curve to assess discrimination. Results. There were 323 new cases of diabetes, a cumulative incidence of 2.76/1000 person-years. Those in the top quintile of risk were 22 times more likely to develop diabetes than those in the bottom quintile (odds ratio 22.3; 95% CI: 11.0-45.4). In all, 54% of all clinically incident cases occurred in individuals in the top quintile of risk (risk score > 0.37). The area under the ROC was 74.5%. Conclusion. The risk score is a simple, effective tool for the identification of those at risk of developing Type 2 diabetes. Such methods may be more feasible than mass population screening with biochemical tests in defining target populations for prevention programmes.
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