Published in Epidemiol Rev on May 27, 2011
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A Systematic Review of Biomarkers and Risk of Incident Type 2 Diabetes: An Overview of Epidemiological, Prediction and Aetiological Research Literature. PLoS One (2016) 0.75
Systematic Review and Meta-Analysis of Response Rates and Diagnostic Yield of Screening for Type 2 Diabetes and Those at High Risk of Diabetes. PLoS One (2015) 0.75
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Integrated genomic and BMI analysis for type 2 diabetes risk assessment. Front Genet (2015) 0.75
Validation of a nomogram for predicting regression from impaired fasting glucose to normoglycaemia to facilitate clinical decision making. Fam Pract (2016) 0.75
Predicting Risk of Type 2 Diabetes by Using Data on Easy-to-Measure Risk Factors. Prev Chronic Dis (2017) 0.75
Urinary N-telopeptide and Rate of Bone Loss Over the Menopause Transition and Early Postmenopause. J Bone Miner Res (2016) 0.75
Development and Validation of a Simple Risk Score for Undiagnosed Type 2 Diabetes in a Resource-Constrained Setting. J Diabetes Res (2016) 0.75
Nurse Practitioner Perceptions of a Diabetes Risk Assessment Tool in the Retail Clinic Setting. Clin Diabetes (2016) 0.75
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Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med (2008) 57.29
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The long-term effect of lifestyle interventions to prevent diabetes in the China Da Qing Diabetes Prevention Study: a 20-year follow-up study. Lancet (2008) 9.03
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Assessing the value of risk predictions by using risk stratification tables. Ann Intern Med (2008) 5.05
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Combined measurement of fasting plasma glucose and A1C is effective for the prediction of type 2 diabetes: the Kansai Healthcare Study. Diabetes Care (2009) 4.56
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Identifying individuals at high risk for diabetes: The Atherosclerosis Risk in Communities study. Diabetes Care (2005) 3.96
Combining information from common type 2 diabetes risk polymorphisms improves disease prediction. PLoS Med (2006) 3.75
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Predicting risk of type 2 diabetes in England and Wales: prospective derivation and validation of QDScore. BMJ (2009) 3.68
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Predicting type 2 diabetes based on polymorphisms from genome-wide association studies: a population-based study. Diabetes (2008) 3.54
Does the metabolic syndrome improve identification of individuals at risk of type 2 diabetes and/or cardiovascular disease? Diabetes Care (2004) 3.51
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A European evidence-based guideline for the prevention of type 2 diabetes. Horm Metab Res (2010) 3.15
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Development and validation of a patient self-assessment score for diabetes risk. Ann Intern Med (2009) 2.85
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What is the best predictor of future type 2 diabetes? Diabetes Care (2007) 2.64
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Two risk-scoring systems for predicting incident diabetes mellitus in U.S. adults age 45 to 64 years. Ann Intern Med (2009) 2.55
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Adapting the Diabetes Prevention Program lifestyle intervention for delivery in the community: the YMCA model. Diabetes Educ (2007) 2.37
The impact of genotype frequencies on the clinical validity of genomic profiling for predicting common chronic diseases. Genet Med (2007) 2.34
A simplified Indian Diabetes Risk Score for screening for undiagnosed diabetic subjects. J Assoc Physicians India (2005) 2.32
Predicting diabetes: clinical, biological, and genetic approaches: data from the Epidemiological Study on the Insulin Resistance Syndrome (DESIR). Diabetes Care (2008) 2.32
Evaluation of the Framingham risk score in the European Prospective Investigation of Cancer-Norfolk cohort: does adding glycated hemoglobin improve the prediction of coronary heart disease events? Arch Intern Med (2008) 2.30
Evaluation of risk prediction updates from commercial genome-wide scans. Genet Med (2009) 2.30
Development of a type 2 diabetes risk model from a panel of serum biomarkers from the Inter99 cohort. Diabetes Care (2009) 2.27
A risk score for predicting incident diabetes in the Thai population. Diabetes Care (2006) 2.21
Fasting proinsulin concentrations predict the development of type 2 diabetes. Diabetes Care (1999) 2.16
One-hour plasma glucose concentration and the metabolic syndrome identify subjects at high risk for future type 2 diabetes. Diabetes Care (2008) 2.13
Comparison of a clinical model, the oral glucose tolerance test, and fasting glucose for prediction of type 2 diabetes risk in Japanese Americans. Diabetes Care (2003) 2.12
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Tools for predicting the risk of type 2 diabetes in daily practice. Horm Metab Res (2008) 1.98
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Sensitivity and specificity of anthropometrics for the prediction of diabetes in a biracial cohort. Obes Res (2001) 1.89
Fasting versus postload plasma glucose concentration and the risk for future type 2 diabetes: results from the Botnia Study. Diabetes Care (2008) 1.81
A prediction model for type 2 diabetes risk among Chinese people. Diabetologia (2008) 1.78
Use of alternative thresholds defining insulin resistance to predict incident type 2 diabetes mellitus and cardiovascular disease. Circulation (2008) 1.68
Cardiovascular risk assessment scores for people with diabetes: a systematic review. Diabetologia (2009) 1.65
Clinical review: the genetics of type 2 diabetes: a realistic appraisal in 2008. J Clin Endocrinol Metab (2008) 1.61
Impact of insulin resistance on risk of type 2 diabetes and cardiovascular disease in people with metabolic syndrome. Diabetes Care (2007) 1.61
Metabolic and inflammation variable clusters and prediction of type 2 diabetes: factor analysis using directly measured insulin sensitivity. Diabetes (2004) 1.55
Strategies to identify adults at high risk for type 2 diabetes: the Diabetes Prevention Program. Diabetes Care (2005) 1.49
Use of multiple metabolic and genetic markers to improve the prediction of type 2 diabetes: the EPIC-Potsdam Study. Diabetes Care (2009) 1.46
A simple risk score identifies individuals at high risk of developing Type 2 diabetes: a prospective cohort study. Fam Pract (2008) 1.45
Do measures of body fat distribution provide information on the risk of type 2 diabetes in addition to measures of general obesity? Comparison of anthropometric predictors of type 2 diabetes in Pima Indians. Diabetes Care (2003) 1.44
Predicting the development of diabetes in older adults: the derivation and validation of a prediction rule. Diabetes Care (2005) 1.43
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Relationship of body size and shape to the development of diabetes in the diabetes prevention program. Obesity (Silver Spring) (2006) 1.36
Do simple questions about diet and physical activity help to identify those at risk of Type 2 diabetes? Diabet Med (2007) 1.30
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Development of a diabetes prevention management program for clinical practice. Public Health Rep (2007) 1.25
Waist/height ratio as a better predictor of type 2 diabetes compared to body mass index in Tehranian adult men--a 3.6-year prospective study. Exp Clin Endocrinol Diabetes (2006) 1.24
Metabolic syndrome and its components as predictors of incident type 2 diabetes mellitus in an Aboriginal community. CMAJ (2009) 1.19
The metabolic syndrome as a tool for predicting future diabetes: the AusDiab study. J Intern Med (2008) 1.16
Reproducibility of the diagnosis of diabetes over a 30-month follow-up: the Paris Prospective Study. Diabetes Care (2001) 1.16
Adipokines and incident type 2 diabetes in an Aboriginal Canadian [corrected] population: the Sandy Lake Health and Diabetes Project. Diabetes Care (2008) 1.14
Adiposity, physical fitness and incident diabetes: the physical activity longitudinal study. Diabetologia (2007) 1.14
A simplified Finnish diabetes risk score to predict type 2 diabetes risk and disease evolution in a German population. Horm Metab Res (2007) 1.13
The Finnish Diabetes Risk Score is associated with insulin resistance and progression towards type 2 diabetes. J Clin Endocrinol Metab (2008) 1.13
Predictive ability of childhood metabolic components for adult metabolic syndrome and type 2 diabetes. J Pediatr (2009) 1.10
A combination of HbA1c, fasting glucose and BMI is effective in screening for individuals at risk of future type 2 diabetes: OGTT is not needed. J Intern Med (2006) 1.10
Prevention of type 2 diabetes in a primary health care setting. Interim results from the Greater Green Triangle (GGT) Diabetes Prevention Project. Diabetes Res Clin Pract (2006) 1.07
[Finnish questionnaire reasonably good predictor of the incidence of diabetes in The Netherlands]. Ned Tijdschr Geneeskd (2008) 1.01
Assessing risk for development of diabetes in young adults. Ann Fam Med (2007) 1.00
An accurate risk score for estimation 5-year risk of type 2 diabetes based on a health screening population in Taiwan. Diabetes Res Clin Pract (2009) 0.98
Validation of prediction of diabetes by the Archimedes model and comparison with other predicting models. Diabetes Care (2008) 0.98
The metabolic syndrome and incident diabetes: Assessment of alternative definitions of the metabolic syndrome in an Iranian urban population. Diabetes Res Clin Pract (2008) 0.97
Assessing progression to impaired glucose tolerance and type 2 diabetes mellitus. Eur J Clin Invest (2006) 0.97
Intake of sugar-sweetened beverages and weight gain: a systematic review. Am J Clin Nutr (2006) 13.19
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Red meat consumption and risk of type 2 diabetes: 3 cohorts of US adults and an updated meta-analysis. Am J Clin Nutr (2011) 3.27
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Consumption of trans fatty acids is related to plasma biomarkers of inflammation and endothelial dysfunction. J Nutr (2005) 2.17
Plasma fetuin-a levels and the risk of myocardial infarction and ischemic stroke. Circulation (2008) 2.08
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The ADDITION-Cambridge trial protocol: a cluster -- randomised controlled trial of screening for type 2 diabetes and intensive treatment for screen-detected patients. BMC Public Health (2009) 1.83
Erythrocyte membrane phospholipid fatty acids, desaturase activity, and dietary fatty acids in relation to risk of type 2 diabetes in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam Study. Am J Clin Nutr (2010) 1.83
Neighborhood, route, and school environments and children's active commuting. Am J Prev Med (2010) 1.81
Assessing improvement in disease prediction using net reclassification improvement: impact of risk cut-offs and number of risk categories. Eur J Epidemiol (2012) 1.75
Determinants of change in physical activity in children and adolescents: a systematic review. Am J Prev Med (2011) 1.73
Associations between markers of subclinical atherosclerosis and dietary patterns derived by principal components analysis and reduced rank regression in the Multi-Ethnic Study of Atherosclerosis (MESA). Am J Clin Nutr (2007) 1.72
Consumption of (n-3) fatty acids is related to plasma biomarkers of inflammation and endothelial activation in women. J Nutr (2004) 1.70
Performance of the UK Prospective Diabetes Study Risk Engine and the Framingham Risk Equations in Estimating Cardiovascular Disease in the EPIC- Norfolk Cohort. Diabetes Care (2008) 1.70
A priori-defined dietary patterns and markers of cardiovascular disease risk in the Multi-Ethnic Study of Atherosclerosis (MESA). Am J Clin Nutr (2008) 1.68
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Does depression increase the risk of developing type 2 diabetes? Occup Med (Lond) (2007) 1.66
The prospective association between total and type of fish intake and type 2 diabetes in 8 European countries: EPIC-InterAct Study. Am J Clin Nutr (2012) 1.66
Estimating the proportion of disease due to classes of sufficient causes. Am J Epidemiol (2005) 1.60
Dietary fat intake and subsequent weight change in adults: results from the European Prospective Investigation into Cancer and Nutrition cohorts. Am J Clin Nutr (2009) 1.60
Fruit and vegetable intakes and subsequent changes in body weight in European populations: results from the project on Diet, Obesity, and Genes (DiOGenes). Am J Clin Nutr (2009) 1.59
Breast-feeding and maternal risk of type 2 diabetes: a prospective study and meta-analysis. Diabetologia (2014) 1.58
Which behavior change techniques are associated with changes in physical activity, diet and body mass index in people with recently diagnosed diabetes? Ann Behav Med (2015) 1.56
Non-HDL cholesterol and apolipoprotein B predict cardiovascular disease events among men with type 2 diabetes. Diabetes Care (2004) 1.53
Measures of general and central obesity and risk of type 2 diabetes in a Ghanaian population. Trop Med Int Health (2012) 1.52
Intake of vegetables, legumes, and fruit, and risk for all-cause, cardiovascular, and cancer mortality in a European diabetic population. J Nutr (2008) 1.49
Performance of the UKPDS outcomes model for prediction of myocardial infarction and stroke in the ADDITION-Europe trial cohort. Value Health (2013) 1.47
A simple risk score identifies individuals at high risk of developing Type 2 diabetes: a prospective cohort study. Fam Pract (2008) 1.45
Changes in children's physical activity over 12 months: longitudinal results from the SPEEDY study. Pediatrics (2010) 1.44
A cross-sectional study of awareness of physical activity: associations with personal, behavioral and psychosocial factors. Int J Behav Nutr Phys Act (2007) 1.44
Dietary pattern analysis and biomarkers of low-grade inflammation: a systematic literature review. Nutr Rev (2013) 1.42
School environments and physical activity: The development and testing of an audit tool. Health Place (2010) 1.41
The performance of a risk score as a screening test for undiagnosed hyperglycemia in ethnic minority groups: data from the 1999 health survey for England. Diabetes Care (2004) 1.36
Association between birth weight and visceral fat in adults. Am J Clin Nutr (2010) 1.35
Whole-grain consumption and transcription factor-7-like 2 ( TCF7L2) rs7903146: gene-diet interaction in modulating type 2 diabetes risk. Br J Nutr (2008) 1.35
Effectiveness of interventions to promote physical activity in children and adolescents: systematic review of controlled trials. Br J Sports Med (2008) 1.34
A prospective study of soluble tumor necrosis factor-alpha receptor II (sTNF-RII) and risk of coronary heart disease among women with type 2 diabetes. Diabetes Care (2005) 1.34
Overestimation of physical activity level is associated with lower BMI: a cross-sectional analysis. Int J Behav Nutr Phys Act (2010) 1.29
An investigation of patterns of children's sedentary and vigorous physical activity throughout the week. Int J Behav Nutr Phys Act (2010) 1.27
Local food outlets, weight status, and dietary intake: associations in children aged 9-10 years. Am J Prev Med (2011) 1.26
Can dietary patterns help us detect diet-disease associations? Nutr Res Rev (2005) 1.25
Metabolic syndrome and risk of incident diabetes: findings from the European Prospective Investigation into Cancer and Nutrition-Potsdam Study. Cardiovasc Diabetol (2008) 1.25
Plain-water intake and risk of type 2 diabetes in young and middle-aged women. Am J Clin Nutr (2012) 1.24
Inflammatory dietary pattern and risk of depression among women. Brain Behav Immun (2013) 1.22
Anthropometry and esophageal cancer risk in the European prospective investigation into cancer and nutrition. Cancer Epidemiol Biomarkers Prev (2009) 1.22
Recent insights into the relation of Δ5 desaturase and Δ6 desaturase activity to the development of type 2 diabetes. Curr Opin Lipidol (2012) 1.19
Perception versus reality awareness of physical activity levels of British children. Am J Prev Med (2010) 1.18
Consumption of red meat and whole-grain bread in relation to biomarkers of obesity, inflammation, glucose metabolism and oxidative stress. Eur J Nutr (2012) 1.18
Liver enzymes and incident diabetes: findings from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam Study. Diabetes Care (2008) 1.18
Change in cardiovascular risk factors following early diagnosis of type 2 diabetes: a cohort analysis of a cluster-randomised trial. Br J Gen Pract (2014) 1.17
Screening for type 2 diabetes and dysglycemia. Epidemiol Rev (2011) 1.16
Association between objectively assessed sedentary time and physical activity with metabolic risk factors among people with recently diagnosed type 2 diabetes. Diabetologia (2013) 1.15
Associations between active commuting and physical activity in working adults: cross-sectional results from the Commuting and Health in Cambridge study. Prev Med (2012) 1.14
Environmental correlates of adiposity in 9-10 year old children: considering home and school neighbourhoods and routes to school. Soc Sci Med (2011) 1.13
Influences on the variation in prevalence of type 2 diabetes between general practices: practice, patient or socioeconomic factors? Br J Gen Pract (2003) 1.11
A homocysteine metabolism-related dietary pattern and the risk of coronary heart disease in two independent German study populations. J Nutr (2005) 1.10
Association of AHSG gene polymorphisms with fetuin-A plasma levels and cardiovascular diseases in the EPIC-Potsdam study. Circ Cardiovasc Genet (2009) 1.10
Screening for type 2 diabetes is feasible, acceptable, but associated with increased short-term anxiety: a randomised controlled trial in British general practice. BMC Public Health (2008) 1.10
Family dog ownership and levels of physical activity in childhood: findings from the Child Heart and Health Study in England. Am J Public Health (2010) 1.09
Validation of a maternal questionnaire on correlates of physical activity in preschool children. Int J Behav Nutr Phys Act (2009) 1.09
Plasma uric acid is associated with increased risk of type 2 diabetes independent of diet and metabolic risk factors. J Nutr (2012) 1.09
Association of a diabetes risk score with risk of myocardial infarction, stroke, specific types of cancer, and mortality: a prospective study in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam cohort. Eur J Epidemiol (2009) 1.08
Television watching and incident diabetes: Findings from the European Prospective Investigation into Cancer and Nutrition-Potsdam Study. J Diabetes (2009) 1.07
Genetic variation of the FADS1 FADS2 gene cluster and n-6 PUFA composition in erythrocyte membranes in the European Prospective Investigation into Cancer and Nutrition-Potsdam study. Br J Nutr (2010) 1.07
Physical activity awareness of British adolescents. Arch Pediatr Adolesc Med (2011) 1.06
Obesity is associated with altered lung function independently of physical activity and fitness. Obesity (Silver Spring) (2008) 1.05
Sociocultural correlates of physical activity in children and adolescents: findings from the Danish arm of the European Youth Heart study. Pediatr Exerc Sci (2008) 1.04
Polymorphisms within insulin-degrading enzyme (IDE) gene determine insulin metabolism and risk of type 2 diabetes. J Mol Med (Berl) (2009) 1.03