Disease progression and treatment response in data-driven subgroups of type 2 diabetes compared with models based on simple clinical features: an analysis using clinical trial data
Shields, Beverley M
Jones, Angus G.
Hattersley, Andrew T.
JournalLancet Diabetes and Endocrinology
RightsThis is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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Research using data-driven cluster analysis has proposed five subgroups of diabetes with differences in diabetes progression and risk of complications. We aimed to compare the clinical utility of this subgroup-based approach for predicting patient outcomes with an alternative strategy of developing models for each outcome using simple patient characteristics.