A five-drug class model using routinely available clinical features to optimise prescribing in type 2 diabetes: a prediction model development and validation study
<p><strong>Background: </strong>Data to support individualised choice of optimal glucose-lowering therapy are scarce for people with type 2 diabetes. We aimed to establish whether routinely available clinical features can be used to predict the relative glycaemic effectiveness of f...
主要な著者: | , , , , |
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その他の著者: | |
フォーマット: | Journal article |
言語: | English |
出版事項: |
Elsevier
2025
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