Article

Identifying type 1 and 2 diabetes in population level data: assessing the accuracy of published approaches

2022-04-13

Abstract excerpt

<h4>Aims</h4> Population datasets are increasingly used to study type 1 or 2 diabetes, and inform clinical practice. However, correctly classifying diabetes type, when insulin treated, in population datasets is challenging. Many different approaches have been proposed, ranging from simple age or BMI cut offs, to complex algorithms, and the optimal approach is unclear. We aimed to compare the performance of approac...

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Literature Corpus work: 64ba96e4-45a9-5fbe-b36a-cb1632c3e637
DOI: 10.1101/2022.04.11.22273617

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