Machine learning-based reproducible prediction of type 2 diabetes subtypes
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DOI: 10.1007/s00125-024-06248-8
Abstract: Clustering-based subclassification of type 2 diabetes, which reflects pathophysiology and genetic predisposition, is a promising approach for providing personalised and effective therapeutic strategies. Ahlqvist’s classification is currently the most vigorously validated method because of its… read more here.
Keywords: cohort; consistency; type; type diabetes ... See more keywords
Associations of carbohydrate quality and cardiovascular risk factors vary among diabetes subtypes
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DOI: 10.1186/s12933-025-02580-4
Abstract: Assess the intake of carbohydrate quality and their association with cardiovascular risk factors among diabetes subtypes. Participants of the German Diabetes Study (GDS) (recent-onset diabetes (n = 487) and 5-years thereafter (n = 209)) were allocated into severe autoimmune… read more here.
Keywords: quality; carbohydrate quality; risk factors; diabetes subtypes ... See more keywords
1567-P: Diabetes Subtypes and Risk for Complications
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DOI: 10.2337/db19-1567-p
Abstract: Background: Recent reconsideration of the classification of diabetes identified novel unique diabetes phenotypes using data on traditional diabetes characteristics. Our objective was to assess whether unique diabetes phenotypes are present in a multi-ethnic U.S. sample… read more here.
Keywords: none; 1567 diabetes; diabetes subtypes; unique diabetes ... See more keywords