Maximizing efficiency and cost‐effectiveness of Type 2 diabetes screening: the AusDiab study

Diabet. Med. 28, 414–423 (2011)

[1]  Ping Zhang,et al.  Cost-Effectiveness of Interventions to Prevent and Control Diabetes Mellitus: A Systematic Review , 2010, Diabetes Care.

[2]  P. Mitchell,et al.  AUSDRISK: an Australian Type 2 Diabetes Risk Assessment Tool based on demographic, lifestyle and simple anthropometric measures , 2010, The Medical journal of Australia.

[3]  E. Brunner,et al.  Performance of existing risk scores in screening for undiagnosed diabetes: an external validation study , 2010, Diabetic medicine : a journal of the British Diabetic Association.

[4]  S. Wild,et al.  Risk prediction models for the development of diabetes in Mauritian Indians , 2009, Diabetic medicine : a journal of the British Diabetic Association.

[5]  Heiner Boeing,et al.  Use of Multiple Metabolic and Genetic Markers to Improve the Prediction of Type 2 Diabetes: the EPIC-Potsdam Study , 2009, Diabetes Care.

[6]  Henry Kahn,et al.  Two Risk-Scoring Systems for Predicting Incident Diabetes Mellitus in U.S. Adults Age 45 to 64 Years , 2009, Annals of Internal Medicine.

[7]  A. Sheikh,et al.  Predicting risk of type 2 diabetes in England and Wales: prospective derivation and validation of QDScore , 2009, BMJ : British Medical Journal.

[8]  B. Balkau,et al.  Predicting Diabetes: Clinical, Biological, and Genetic Approaches , 2008, Diabetes Care.

[9]  R. DeFronzo,et al.  One-Hour Plasma Glucose Concentration and the Metabolic Syndrome Identify Subjects at High Risk for Future Type 2 Diabetes , 2008, Diabetes Care.

[10]  J. Tuomilehto,et al.  The European perspective of type 2 diabetes prevention: diabetes in Europe--prevention using lifestyle, physical activity and nutritional intervention (DE-PLAN) project. , 2008, Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association.

[11]  J. Shaw,et al.  Glucose Indices, Health Behaviors, and Incidence of Diabetes in Australia , 2007, Diabetes Care.

[12]  N J Wareham,et al.  Do simple questions about diet and physical activity help to identify those at risk of Type 2 diabetes? , 2007, Diabetic medicine : a journal of the British Diabetic Association.

[13]  K. Chien An Accurate Risk Score Based on Anthropometric, Dietary, and Lifestyle Factors to Predict the Development of Type 2 Diabetes , 2007, Diabetes Care.

[14]  Ralph B D'Agostino,et al.  Prediction of incident diabetes mellitus in middle-aged adults: the Framingham Offspring Study. , 2007, Archives of internal medicine.

[15]  Mark Woodward,et al.  A Risk Score for Predicting Incident Diabetes in the Thai Population A table elsewhere in this issue shows conventional and Système International (SI) units and conversion factors for many substances. , 2006, Diabetes Care.

[16]  Heejung Bang,et al.  Identifying individuals at high risk for diabetes: The Atherosclerosis Risk in Communities study. , 2005, Diabetes care.

[17]  J. Tuomilehto,et al.  The diabetes risk score: a practical tool to predict type 2 diabetes risk. , 2003, Diabetes care.

[18]  Nils Lid Hjort,et al.  Goodness‐of‐fit processes for logistic regression: simulation results , 2002, Statistics in medicine.

[19]  J. Shaw,et al.  The Australian Diabetes, Obesity and Lifestyle Study (AusDiab)--methods and response rates. , 2002, Diabetes research and clinical practice.

[20]  S. Haffner,et al.  Identification of Persons at High Risk for Type 2 Diabetes Mellitus: Do We Need the Oral Glucose Tolerance Test? , 2002, Annals of Internal Medicine.

[21]  S. Fowler,et al.  Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. , 2002, The New England journal of medicine.

[22]  J. Shaw,et al.  Global and societal implications of the diabetes epidemic , 2001, Nature.

[23]  T. Valle,et al.  Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. , 2001, The New England journal of medicine.

[24]  Rury R. Holman,et al.  Glycemic Control with Diet, Sulfonylurea, Metformin, or Insulin in Patients with Type 2 Diabetes Mellitus: Progressive Requirement for Multiple Therapies (UKPDS 49) , 1999 .

[25]  R. Holman,et al.  Glycemic control with diet, sulfonylurea, metformin, or insulin in patients with type 2 diabetes mellitus: progressive requirement for multiple therapies (UKPDS 49). UK Prospective Diabetes Study (UKPDS) Group. , 1999, JAMA.

[26]  B. Howard,et al.  Effects of Diet and Exercise in Preventing NIDDM in People With Impaired Glucose Tolerance: The Da Qing IGT and Diabetes Study , 1997, Diabetes Care.

[27]  E. DeLong,et al.  Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. , 1988, Biometrics.

[28]  Anson,et al.  DIET , LIFESTYLE , AND THE RISK OF TYPE 2 DIABETES MELLITUS IN WOMEN , 2001 .