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Type 1 Diabetes Risk Phenotypes Using Cluster Analysis

2023-10-12 endocrinology Title + abstract only
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BackgroundAlthough statistical models for predicting type 1 diabetes risk have been developed, approaches that reveal clinically meaningful clusters in the at-risk population and allow for non-linear relationships between predictors are lacking. We aimed to identify and characterize clusters of islet autoantibody-positive individuals that share similar characteristics and type 1 diabetes risk. MethodsWe tested a novel outcome-guided clustering method in initially non-diabetic autoantibody-posit...

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