We will add links here to relevant evidence as we find it.

QDiabetes main page

Preventing type 2 diabetes – risk identification and interventions for individuals at high risk -NICE

Holt TA, Stables D, Hippisley-Cox J, O’Hanlon S, Majeed A. Identifying undiagnosed diabetes: cross-sectional survey of 3.6 million patients’ electronic records. Br J Gen Pract2008;58:192-6

Collins GS, Altman DG. External validation of the QDScore for predicting the 10-year risk of developing Type 2 diabetes. Diabetic Medicine 2011;28:599-607.

Hippisley-Cox, J, Coupland, C, Predicting risk of type 2 diabetes in England and Wales: prospective derivation and validation of QDScore, BMJ 2009;338:b880

Bagust A, Hopkinson P, Maslove L, Currie C. The projected health care burden of type 2 diabetes in the UK from 2000 to 2060. Diabet Med2002;19:1-5.

Pan XR, Li GW, Hu YH, Wang JX, Yang WY, An ZX, Hu ZX, Lin J, Xiao JZ, Cao HB, Liu PA, Jiang XG, Jiang YY, Wang JP, Zheng H, Zhang H, Bennett PH, Howard BV: Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance: the Da Qing IGT and Diabetes Study. Diabetes Care 20:537–544, 1997

Lindstrom J, Louheranta A, Mannelin M, Rastas M, Salminen V, Eriksoon J. The Finnish Diabetes Prevention Study (DPS): Lifestyle intervention and 3-year results on diet and physical activity. Diabetes Care 2003; 26: 3230-3236

National Diabetes Prevention Program Factsheet http://ndep.nih.gov/media/dpp-fact-sheet-508.pdf

Quantifying the risk of type 2 diabetes in East London using the QDScore: a cross-sectional analysis

Risk Assessment Tools for Identifying Individuals at Risk of Developing Type 2 Diabetes

Diabetes Prevalence by CCG http://www.yhpho.org.uk/resource/view.aspx?RID=154049

QDiabetes appears to fare well in comparison with other Diabetes risk assessment tools

“The QDScore (QDiabetes) was one of the best discriminatory models across countries. It is based on more predictors than other models are and so uses more information, and was developed from a large sample, providing precise estimates of the associations between predictors and outcomes”