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
Abstract 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 relati...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Cambridge University Press
2023-01-01
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Series: | European Psychiatry |
Subjects: | |
Online Access: | https://www.cambridge.org/core/product/identifier/S092493382300010X/type/journal_article |