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A type 1 diabetes prediction model has utility across multiple screening settings with recalibration

2025-02-06

Abstract excerpt

<title>Abstract</title> <p>Background Accurate type 1 diabetes prediction is important to facilitate screening for pre-clinical type 1 diabetes to enable potential early disease-modifying interventions and to reduce the risk of severe presentation with diabetic ketoacidosis. We aimed to assess the generalisability of a prediction model developed in children followed from birth. Additionally, we sought to create...

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Literature Corpus work: 81da06be-dcff-5628-8db2-5d2bc148e90e
DOI: 10.21203/rs.3.rs-5773430/v1

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