Two risk scores were published in 2007 and 2008. They were based on demographic, anthropometric, and biochemical measures but did not require information from an oral glucose tolerance test. The Cambridge type 2 diabetes risk score is a pragmatic algorithm incorporating the routinely assessed variables age, sex, drug treatment, family history of type 2 diabetes, body mass index, and smoking status.7 In validating this risk score in the EPIC-Norfolk study, Rahman et al reported that the model performed well in distinguishing cases of later type 2 diabetes (discrimination), with an area under the receiver operating characteristics curve of 0.75 (where 1 indicates perfect discrimination and 0.5 indicates no discrimination).7 The Framingham offspring type 2 diabetes risk score also makes use of routinely collected clinical data and biochemical measures including age, sex, parental history of type 2 diabetes, body mass index, high density lipoprotein cholesterol, triglycerides, and fasting glucose. This model also provided good discrimination of incident cases of diabetes, with an area under the receiver operating characteristics curve of 0.85.8 Notably, the addition of other non-routinely collected measures of glucose
