Acupuncture for post-stroke depression: a systematic review and network meta-analysis

作者：Wai Ching Lam, Hui Juan Li, Jianwen Guo, Liang Yao, Janita Pak Chun Chau, Suzanne Hoi Shan Lo, Chun Sum Yuen, Bacon Fung Leung Ng, Edwin Chau-Leung Yu, Zhaoxiang Bian, Alexander Yuk Lun Lau, Linda L. D. Zhong · 发表于：BMC Psychiatry · 年份：2023 · DOI：10.1186/s12888-023-04749-1 · 研究领域：Acupuncture Treatment Research Studies、Stroke Rehabilitation and Recovery、Biofield Effects and Biophysics

BACKGROUND: Patients with post-stroke depression (PSD) usually experience anxiety, hopelessness, and insomnia, which have a negative impact on their daily activities and post-stroke rehabilitation. Acupuncture (AC), as a minimally invasive technique, has become a popular choice for improving depression symptoms. However, it is still unclear which therapy is associated with the best outcomes for PSD. In this review, we aimed to explore the impact of AC in alleviating symptoms of PSD and to evaluate the difference in effectiveness between AC combined with pharmacotherapies and various non-pharmacotherapies. METHODS: Six databases and three clinical trials registration platforms were searched from inception to March 2023. Randomized clinical trial comparing needle-based AC with pharmacotherapy, and other non-pharmacotherapy or invalid group were included. Two independent reviewers identified eligible studies, and collected data using a pre-made form. A Bayesian network meta-analysis was conducted to assess and compare different techniques using RStudio 3.6.0 with the package 'GEMTC' V.0.8.1. The primary outcome was the efficacy for PSD assessed by scales measuring depressive symptoms. The secondary outcomes were effectiveness for neurological function and the quality of life. The ranking probabilities for all treatment interventions was performed using the Surface Under the Cumulative Ranking curve (SUCRA). The risk of bias was assessed by using the Revised Cochrane Risk of Bias...