The diabetes risk score: a practical tool to predict type 2 diabetes risk.
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Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reportingESC Guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD - SummarySHRINE: enabling nationally scalable multi-site disease studiesEstimating the population impact of screening strategies for identifying and treating people at high risk of cardiovascular disease: modelling studyChange in fasting plasma glucose and incident type 2 diabetes mellitus: results from a prospective cohort studyMetabolomics and Type 2 Diabetes: Translating Basic Research into Clinical ApplicationSystematic Review and Meta-Analysis of Response Rates and Diagnostic Yield of Screening for Type 2 Diabetes and Those at High Risk of DiabetesGenetic screening for the risk of type 2 diabetes: worthless or valuable?Is genetic testing useful to predict type 2 diabetes?Clinical prediction rules in practice: review of clinical guidelines and survey of GPsTen-year Diabetes Risk Forecast in the Capital of Jordan: Arab Diabetes Risk Assessment Questionnaire Perspective-A Strobe-Complaint ArticleCombination of diabetes risk factors and hepatic steatosis in Chinese: the Cardiometabolic Risk in Chinese (CRC) StudyA novel testing model for opportunistic screening of pre-diabetes and diabetes among U.S. adultsDevelopment and Validation of a Risk-Score Model for Type 2 Diabetes: A Cohort Study of a Rural Adult Chinese PopulationFinnish Diabetes Risk Score Is Associated with Impaired Insulin Secretion and Insulin Sensitivity, Drug-Treated Hypertension and Cardiovascular Disease: A Follow-Up Study of the METSIM CohortRecommendations for prevention of weight gain and use of behavioural and pharmacologic interventions to manage overweight and obesity in adults in primary careComparison of accuracy of diabetes risk score and components of the metabolic syndrome in assessing risk of incident type 2 diabetes in Inter99 cohortThirty-one novel biomarkers as predictors for clinically incident diabetesFeasibility and effectiveness of a targeted diabetes prevention program for 18 to 60-year-old South Asian migrants: design and methods of the DH!AAN study.Prevalence of diabetes mellitus and the performance of a risk score among Hindustani Surinamese, African Surinamese and ethnic Dutch: a cross-sectional population-based study.Lifestyle interventions in preventing new type 2 diabetes in Asian populations.Update and Next Steps for Real-World Translation of Interventions for Type 2 Diabetes Prevention: Reflections From a Diabetes Care Editors' Expert Forum.Behavior change in a lifestyle intervention for type 2 diabetes prevention in Dutch primary care: opportunities for intervention content.Perspectives of UK Pakistani women on their behaviour change to prevent type 2 diabetes: qualitative study using the theory domain framework.High prevalence of obesity, central obesity and abnormal glucose tolerance in the middle-aged Finnish population.Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist.Far from easy and accurate - detection of metabolic syndrome by general practitioners.Toward Big Data Analytics: Review of Predictive Models in Management of Diabetes and Its ComplicationsDevelopment and Validation of HealthImpact: An Incident Diabetes Prediction Model Based on Administrative Data.Predicting diabetes: clinical, biological, and genetic approaches: data from the Epidemiological Study on the Insulin Resistance Syndrome (DESIR).Prevention of type 2 diabetes by lifestyle intervention in an Australian primary health care setting: Greater Green Triangle (GGT) Diabetes Prevention Project.Prevention of type 2 diabetes in adults with impaired glucose tolerance: the European Diabetes Prevention RCT in Newcastle upon Tyne, UK.The effectiveness of physical activity monitoring and distance counselling in an occupational health setting--a research protocol for a randomised controlled trial (CoAct).Transcultural diabetes nutrition algorithm (tDNA): Venezuelan application.Predicting dementia: role of dementia risk indices.Plasma glucose concentration and prediction of future risk of type 2 diabetes.Design of the INTEGRATE study: effectiveness and cost-effectiveness of a cardiometabolic risk assessment and treatment program integrated in primary care.Diabetes and associated complications in the South Asian population.Metabolic syndrome and the early detection of impaired glucose tolerance among professionals living in Beijing, China: a cross sectional study.Evaluation of Finnish Diabetes Risk Score in screening undiagnosed diabetes and prediabetes among U.S. adults by gender and race: NHANES 1999-2010.
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P2860
The diabetes risk score: a practical tool to predict type 2 diabetes risk.
description
2003 nî lūn-bûn
@nan
2003年の論文
@ja
2003年学术文章
@wuu
2003年学术文章
@zh-cn
2003年学术文章
@zh-hans
2003年学术文章
@zh-my
2003年学术文章
@zh-sg
2003年學術文章
@yue
2003年學術文章
@zh
2003年學術文章
@zh-hant
name
The diabetes risk score: a practical tool to predict type 2 diabetes risk.
@en
The diabetes risk score: a practical tool to predict type 2 diabetes risk.
@nl
type
label
The diabetes risk score: a practical tool to predict type 2 diabetes risk.
@en
The diabetes risk score: a practical tool to predict type 2 diabetes risk.
@nl
prefLabel
The diabetes risk score: a practical tool to predict type 2 diabetes risk.
@en
The diabetes risk score: a practical tool to predict type 2 diabetes risk.
@nl
P356
P1433
P1476
The diabetes risk score: a practical tool to predict type 2 diabetes risk.
@en
P304
P356
10.2337/DIACARE.26.3.725
P407
P577
2003-03-01T00:00:00Z