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Publication Type
Journal Article
UWI Author(s)
Author, Analytic
Park, P. J.; Griffin, S. J.; Sargeant, Lincoln A.; Wareham, N. J.
Author Affiliation, Ana.
Tropical Medicine Research Institute
Article Title
The performance of a risk score in predicting undiagnosed hyperglycemia
Medium Designator
n/a
Connective Phrase
n/a
Journal Title
Diabetes Care
Translated Title
n/a
Reprint Status
Refereed
Date of Publication
2002
Volume ID
25
Issue ID
6
Page(s)
984-8
Language
eng
Connective Phrase
n/a
Location/URL
n/a
ISSN
0149-5992
Notes
n/a
Abstract
Type 2 diabetes is a serious disease that is commonly undetected and for which screening is sometimes advocated. A number of risk factors are associated with prevalent undiagnosed diabetes. The use of routinely available information on these factors has been proposed as a simple and effective way of identifying individuals at high risk for having the disease. The objective of this study was to assess the effectiveness of the Cambridge risk score in a large and representative population. A risk score derived from data in a previous study was tested for its ability to detect prevalent undiagnosed hyperglycemia as measured by a GHb >/=6.0, 6.5, or 7% in 6,567 subjects aged 39-78 years in the European Prospective Investigation of Cancer-Norfolk cohort. For a specificity of 78%, the risk score predicted a GHb of >/=7.0% in subjects aged 39-78 years, with a sensitivity of 51% (95% CI 40-62). The areas under the receiver-operating characteristic (ROC) curve for GHb >/=6.0, 6.5, and 7% were 65.7% (63.8-67.6), 71.2% (68.4-75.2), and 74.2% (69.5-79.0), respectively. The area under the ROC curve was not significantly reduced if data on family and smoking history were unavailable for any of the cut-offs for GHb. CONCLUSIONS-The risk score performed as well as other previously reported models in all age groups. We concluded that a simple risk score using data routinely available in primary care can identify people with an elevated GHb with reasonable sensitivity and specificity, and it could therefore form part of a strategy for early detection of type 2 diabetes.....
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