Development of a novel algorithm for detecting glucocorticoid-induced diabetes mellitus using a medical information database.

Imatoh, T; Sai, K; Hori, K; Segawa, K; Kawakami, J; Kimura, M; Saito, Y

Imatoh, T; Sai, K; Hori, K; Segawa, K; Kawakami, J; Kimura, M; Saito, Y.

Afiliação

Imatoh T; Division of Medicinal Safety Science, National Institute of Health Sciences, Tokyo, Japan.
Sai K; Division of Medicinal Safety Science, National Institute of Health Sciences, Tokyo, Japan.
Hori K; Department of Hospital Pharmacy, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Segawa K; Division of Medicinal Safety Science, National Institute of Health Sciences, Tokyo, Japan.
Kawakami J; Department of Hospital Pharmacy, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Kimura M; Department of Medical Informatics, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Saito Y; Division of Medicinal Safety Science, National Institute of Health Sciences, Tokyo, Japan.

J Clin Pharm Ther ; 42(2): 215-220, 2017 Apr.

Article em En | MEDLINE | ID: mdl-28097680

Assuntos

Bases de Dados Factuais; Diabetes Mellitus/induzido quimicamente; Prednisolona/efeitos adversos; Adulto; Idoso; Algoritmos; Diabetes Mellitus/diagnóstico; Feminino; Hemoglobinas Glicadas/análise; Humanos; Masculino; Pessoa de Meia-Idade; Farmacoepidemiologia

Palavras-chave

Japanese patients; glucocorticoid-induced diabetes mellitus; medical information database; pharmacoepidemiology

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Prednisolona / Bases de Dados Factuais / Diabetes Mellitus Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Clin Pharm Ther Assunto da revista: FARMACIA / TERAPEUTICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Japão

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