Is it possible to develop a 'one-size fits all' prediction model for undiagnosed Type 2 diabetes?

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Is it possible to develop a 'one-size fits all' prediction model for undiagnosed Type 2 diabetes?

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2014 nî lūn-bûn

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Is it possible to develop a 'o ...... r undiagnosed Type 2 diabetes?

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Is it possible to develop a 'o ...... r undiagnosed Type 2 diabetes?

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Is it possible to develop a 'o ...... r undiagnosed Type 2 diabetes?

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Is it possible to develop a 'o ...... r undiagnosed Type 2 diabetes?

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Is it possible to develop a 'o ...... r undiagnosed Type 2 diabetes?

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Is it possible to develop a 'o ...... r undiagnosed Type 2 diabetes?

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Is it possible to develop a 'o ...... r undiagnosed Type 2 diabetes?

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General cardiovascular risk profile for use in primary care: the Framingham Heart Study

Do men develop type 2 diabetes at lower body mass indices than women?

The value of genetic information for diabetes risk prediction - differences according to sex, age, family history and obesity.

Insulin resistance, beta cell dysfunction and visceral adiposity as predictors of incident diabetes: the Insulin Resistance Atherosclerosis Study (IRAS) Family study.

Prevalence of diabetes among men and women in China

Predictors of future fasting and 2-h post-OGTT plasma glucose levels in middle-aged men and women-the Inter99 study.

Trajectories of cardiometabolic risk factors before diagnosis of three subtypes of type 2 diabetes: a post-hoc analysis of the longitudinal Whitehall II cohort study.

Waist-to-height ratio is the best indicator for undiagnosed type 2 diabetes.

Sex differences in glucose and insulin trajectories prior to diabetes diagnosis: the Whitehall II study.

Prediction of incident diabetes mellitus in middle-aged adults: the Framingham Offspring Study.

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116-117

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scholarly article

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10.1111/DME.12292

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Kristine Færch

Dorte Vistisen

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2014-01-01T00:00:00Z

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255174687

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23909834

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