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Publication Name World Journal of Psychiatry
Manuscript ID 115867
Country China
Category Psychiatry
Manuscript Type Meta-Analysis
Article Title Meta-analysis of dopaminergic-serotonergic modulation strategies for depressive symptoms in Parkinson’s disease
Manuscript Source Unsolicited Manuscript
All Author List Cheng-Cheng Li, Yan Zhou, Kai-Xia Chen, Li Zhang, Wen-Lie Gu and Hong Gu
Funding Agency and Grant Number
Corresponding Author Hong Gu, Associate Chief Pharmacist, Department of Pharmacy, Jingjiang People’s Hospital Affiliated to Yangzhou University, No. 28 Zhongzhou Road, Taizhou 214500, Jiangsu Province, China. honggujj@163.com
Key Words Parkinson’s disease; Depressive disorder; Dopaminergic agents; Selective serotonin reuptake inhibitors; Combination therapy
Core Tip This meta-analysis of five studies discussed the clinical efficacy of dopaminergic agents combined with selective serotonin reuptake inhibitors in the treatment of Parkinson’s disease with depressive disorder. The results showed that the effective rate of depression improvement and the quality of life score of the combined treatment were higher, but there was no significant difference in motor function. These findings highlight the importance of combined therapy for Parkinson’s disease and depressive disorders.
Citation Li CC, Zhou Y, Chen KX, Zhang L, Gu WL, Gu H. Meta-analysis of dopaminergic-serotonergic modulation strategies for depressive symptoms in Parkinson’s disease. World J Psychiatry 2026; In press
Received
2025-11-14 08:31
Peer-Review Started
2025-11-14 08:31
First Decision by Editorial Office Director
2025-12-03 07:10
Return for Revision
2025-12-03 07:10
Revised
2025-12-16 07:55
Publication Fee Transferred
Second Decision by Editor
2026-02-02 02:48
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-02-03 01:24
Articles in Press
2026-02-03 01:24
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 2220-3206 (online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
Copyright © The Author(s) 2026. Published by Baishideng Publishing Group Inc. All rights reserved.
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