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...

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Detalhes bibliográficos
Principais autores: Dennis, JM, Young, KG, Cardoso, P, Farmer, A, Holman, RR
Outros Autores: MASTERMIND consortium
Formato: Journal article
Idioma:English
Publicado em: Elsevier 2025