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Correction: A consensus statement from the Japan Diabetes Society (JDS): a proposed algorithm for pharmacotherapy in people with type 2 diabetes.
Bouchi, Ryotaro; Kondo, Tatsuya; Ohta, Yasuharu; Goto, Atsushi; Tanaka, Daisuke; Satoh, Hiroaki; Yabe, Daisuke; Nishimura, Rimei; Harada, Norio; Kamiya, Hideki; Suzuki, Ryo; Yamauchi, Toshimasa.
Affiliation
  • Bouchi R; Diabetes and Metabolism Information Center, Diabetes Research Center, National Center for Global Health and Medicine, Tokyo, Japan.
  • Kondo T; Department of Diabetes, Metabolism and Endocrinology, Kumamoto University Hospital, Kumamoto, Japan.
  • Ohta Y; Division of Endocrinology, Metabolism, Hematological Sciences and Therapeutics, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan.
  • Goto A; Department of Health Data Science, Graduate School of Data Science, Yokohama City University, Kanagawa, Japan.
  • Tanaka D; Department of Diabetes, Endocrinology and Nutrition, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
  • Satoh H; Department of Diabetes and Endocrinology, Juntendo University Urayasu Hospital, Chiba, Japan.
  • Yabe D; Department of Diabetes, Endocrinology and Metabolism and Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, Gifu, Japan.
  • Nishimura R; Division of Diabetes, Metabolism and Endocrinology, Jikei University School of Medicine, Tokyo, Japan.
  • Harada N; Department of Diabetes, Endocrinology and Nutrition, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
  • Kamiya H; Division of Diabetes, Department of Internal Medicine, Aichi Medical University, Aichi, Japan.
  • Suzuki R; Department of Diabetes, Metabolism and Endocrinology, Tokyo Medical University, Tokyo, Japan.
  • Yamauchi T; Department of Diabetes and Metabolic Diseases, University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Diabetol Int ; 14(4): 446, 2023 Oct.
Article de En | MEDLINE | ID: mdl-37781468
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies Langue: En Journal: Diabetol Int Année: 2023 Type de document: Article Pays d'affiliation: Japon Pays de publication: Japon
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies Langue: En Journal: Diabetol Int Année: 2023 Type de document: Article Pays d'affiliation: Japon Pays de publication: Japon