Association between impaired glucose metabolism and long-term prognosis at the time of diagnosis of depression: Impaired glucose metabolism as a promising biomarker proposed through a machine-learning approach

BACKGROUND: Predicting the course of depression is necessary for personalized treatment. Impaired glucose metabolism (IGM) was introduced as a promising depression biomarker, but no consensus was made. This study aimed to predict IGM at the time of depression diagnosis and examine the relationship b...

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Detalles Bibliográficos
Autores principales: Lee, Dong Yun, Cho, Yong Hyuk, Kim, Myoungsuk, Jeong, Chang-Won, Cha, Jae Myung, Won, Geun Hui, Noh, Jai Sung, Son, Sang Joon, Park, Rae Woong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9970146/
https://www.ncbi.nlm.nih.gov/pubmed/36734114
http://dx.doi.org/10.1192/j.eurpsy.2023.10

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9970146/
https://www.ncbi.nlm.nih.gov/pubmed/36734114
http://dx.doi.org/10.1192/j.eurpsy.2023.10

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