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The efficacy of canagliflozin in diabetes subgroups stratified by data-driven clustering or a supervised machine learning method: a post hoc analysis of canagliflozin clinical trial data.
Zou, Xiantong; Huang, Qi; Luo, Yingying; Ren, Qian; Han, Xueyao; Zhou, Xianghai; Ji, Linong.
Afiliação
  • Zou X; Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China. eva2172@163.com.
  • Huang Q; Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.
  • Luo Y; Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.
  • Ren Q; Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.
  • Han X; Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.
  • Zhou X; Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.
  • Ji L; Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China. Jiln@bjmu.edu.cn.
Diabetologia ; 65(9): 1424-1435, 2022 09.
Article em En | MEDLINE | ID: mdl-35802168
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 / Canagliflozina Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 / Canagliflozina Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article