| Autor: |
Xinyue Liu, Radojčić, Maja R., Ziye Huang, Baoyi Shi, Ge Li, Lingxiao Chen |
| Předmět: |
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| Zdroj: |
Frontiers in Pain Research; 2024, p1-5, 5p |
| Abstrakt: |
This article explores the use of antidepressants for managing chronic pain, focusing on predictive modeling and personalized medicine. The authors discuss the limited evidence supporting the effectiveness of antidepressants in improving quality of life, pain, sleep, and psychological distress in patients with chronic pain. They suggest that identifying patients who may not respond well to antidepressant treatment in advance can help allocate resources and prevent potential harm. The article also emphasizes the importance of considering comorbid depression as a predictor and the choice of outcome measurement time in clinical predictive modeling studies. The authors recommend a personalized approach to assessing depression and educating pain specialists on this matter. The article concludes by stating that the views expressed are solely those of the authors and do not represent their affiliated organizations or the publisher. The document also includes a list of references to scientific articles on related topics, providing a starting point for library patrons conducting research on chronic pain, depression, and other relevant conditions. [Extracted from the article] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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