Fasting plasma glucose is a stronger predictor of diabetes than triglyceride–glucose index, triglycerides/high-density lipoprotein cholesterol, and homeostasis model assessment of insulin resistance: Tehran Lipid and Glucose Study

[1]  Zi-lin Sun,et al.  Serum 1,5-anhydroglucitol level as a screening tool for diabetes mellitus in a community-based population at high risk of diabetes , 2017, Acta Diabetologica.

[2]  Ming Zhang,et al.  Cumulative increased risk of incident type 2 diabetes mellitus with increasing triglyceride glucose index in normal-weight people: The Rural Chinese Cohort Study , 2017, Cardiovascular Diabetology.

[3]  Y. Bustanji,et al.  Levels of metabolic markers in drug-naive prediabetic and type 2 diabetic patients , 2017, Acta Diabetologica.

[4]  F. Azizi,et al.  Sex-specific incidence rates and risk factors of premature cardiovascular disease. A long term follow up of the Tehran Lipid and Glucose Study. , 2017, International journal of cardiology.

[5]  F. Azizi,et al.  Risk Factors for Incidence of Cardiovascular Diseases and All-Cause Mortality in a Middle Eastern Population over a Decade Follow-up: Tehran Lipid and Glucose Study , 2016, PloS one.

[6]  J. Kim,et al.  Predictive Value of Triglyceride Glucose Index for the Risk of Incident Diabetes: A 4-Year Retrospective Longitudinal Study , 2016, PloS one.

[7]  J. Martínez,et al.  Triglyceride-glucose index (TyG index) in comparison with fasting plasma glucose improved diabetes prediction in patients with normal fasting glucose: The Vascular-Metabolic CUN cohort. , 2016, Preventive medicine.

[8]  J. A. Martínez,et al.  TyG Index Change Is More Determinant for Forecasting Type 2 Diabetes Onset Than Weight Gain , 2016, Medicine.

[9]  M. Sevick,et al.  The 1-hour post-load glucose level is more effective than HbA1c for screening dysglycemia , 2016, Acta Diabetologica.

[10]  A. Ghasemi,et al.  Cut-off points of homeostasis model assessment of insulin resistance, beta-cell function, and fasting serum insulin to identify future type 2 diabetes: Tehran Lipid and Glucose Study , 2015, Acta Diabetologica.

[11]  M. Janghorbani,et al.  The product of triglycerides and glucose in comparison with fasting plasma glucose did not improve diabetes prediction , 2015, Acta Diabetologica.

[12]  S. Benozzi,et al.  Triglycerides and glucose index: a useful indicator of insulin resistance. , 2014, Endocrinologia y nutricion : organo de la Sociedad Espanola de Endocrinologia y Nutricion.

[13]  F. Azizi,et al.  Sex Specific Incidence Rates of Type 2 Diabetes and Its Risk Factors over 9 Years of Follow-Up: Tehran Lipid and Glucose Study , 2014, PloS one.

[14]  H. Kwon,et al.  Predicting the Development of Diabetes Using the Product of Triglycerides and Glucose: The Chungju Metabolic Disease Cohort (CMC) Study , 2014, PloS one.

[15]  L. Guariguata.  By the numbers: new estimates from the IDF Diabetes Atlas Update for 2012. , 2012, Diabetes research and clinical practice.

[16]  V. Messier,et al.  Evaluation of two new surrogate indices including parameters not using insulin to assess insulin sensitivity/resistance in non-diabetic postmenopausal women: a MONET group study. , 2012, Diabetes & metabolism.

[17]  G. Reaven,et al.  Comparison of two methods using plasma triglyceride concentration as a surrogate estimate of insulin action in nondiabetic subjects: triglycerides × glucose versus triglyceride/high-density lipoprotein cholesterol. , 2011, Metabolism: clinical and experimental.

[18]  Trisha Greenhalgh,et al.  Risk models and scores for type 2 diabetes: systematic review , 2011, BMJ : British Medical Journal.

[19]  F. Azizi,et al.  A simple risk score effectively predicted type 2 diabetes in Iranian adult population: population-based cohort study. , 2011, European journal of public health.

[20]  M. Saad,et al.  TyG index performs better than HOMA in a Brazilian population: a hyperglycemic clamp validated study. , 2011, Diabetes research and clinical practice.

[21]  M. Rodríguez-Moran,et al.  The product of triglycerides and glucose, a simple measure of insulin sensitivity. Comparison with the euglycemic-hyperinsulinemic clamp. , 2010, The Journal of clinical endocrinology and metabolism.

[22]  Farzad Hadaegh,et al.  Prevention of non-communicable disease in a population in nutrition transition: Tehran Lipid and Glucose Study phase II , 2009, Trials.

[23]  M. Rodríguez-Moran,et al.  The product of fasting glucose and triglycerides as surrogate for identifying insulin resistance in apparently healthy subjects. , 2008, Metabolic syndrome and related disorders.

[24]  A. Ghasemi,et al.  High prevalence of undiagnosed diabetes and abnormal glucose tolerance in the Iranian urban population: Tehran Lipid and Glucose Study , 2008, BMC public health.

[25]  J. Levy,et al.  Use and abuse of HOMA modeling. , 2004, Diabetes care.

[26]  S. Kahn,et al.  The relative contributions of insulin resistance and beta-cell dysfunction to the pathophysiology of Type 2 diabetes , 2003, Diabetologia.

[27]  K. Mohammad,et al.  An accelerated nutrition transition in Iran , 2002, Public Health Nutrition.

[28]  A. Krolewski,et al.  Slow glucose removal rate and hyperinsulinemia precede the development of type II diabetes in the offspring of diabetic parents. , 1990, Annals of internal medicine.

[29]  R. Turner,et al.  Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man , 1985, Diabetologia.