Effectiveness of non-pharmacological therapies for treating post-stroke depression: A systematic review and network meta-analysis

被引:0
|
作者
Yi, Yunhao [1 ]
Zhao, Weijie [1 ]
Lv, Shimeng [1 ]
Zhang, Guangheng [1 ]
Rong, Yuanhang [1 ]
Wang, Xin [1 ]
Yang, Jingrong [1 ]
Li, Ming [2 ]
机构
[1] Shandong Univ Tradit Chinese Med, Clin Med Coll 1, Jinan 250014, Peoples R China
[2] Shandong Univ Tradit Chinese Med, Off Acad Affairs, Jinan 250355, Peoples R China
关键词
Post-stroke depression; Non-pharmacological therapies; Complementary and alternative therapies; Traditional Chinese medicine; Electrical stimulation; Psychotherapy; DIRECT-CURRENT STIMULATION; RAT MODEL; STROKE; ANTIDEPRESSANT; ACUPUNCTURE; RISK; ELECTROACUPUNCTURE; MECHANISMS; MORTALITY; BDNF;
D O I
10.1016/j.genhosppsych.2024.07.011
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Objective: Post-stroke depression (PSD) is a common neurological and psychiatric sequelae following a stroke, often surpassing the primary effects of the stroke due to its strong correlation with high mortality rates. In recent years, non-pharmacological therapy has garnered significant attention as a supplementary treatment for PSD, becoming widely adopted in clinical practice. However, the efficacy of specific intervention strategies remains unclear. This study aimed to conduct a network meta-analysis (NMA) of published studies to compare the efficacy of different non-pharmacological therapies for treating PSD. Method: We systematically searched five databases from inception through March 2024 to identify randomized controlled trials (RCTs) evaluating non-pharmacological therapies for the treatment of PSD. We considered individual intervention and intervention class. Intervention classes included traditional Chinese medicine (TCM), non-invasive electrotherapy stimulation (NIES), psychotherapy (PT), exercise therapy, hyperbaric oxygen, and combined interventions. The NMA was conducted using R and Stata software, following a frequency-based methodology. Assessment of methodological quality and risk of bias was conducted using the Risk of Bias assessment tool 2.0. Therapies were ranked using the P-score, and box-plots visualization, meta-regression, and sensitivity analysis, were performed to assess transitivity, heterogeneity, and consistency, respectively. Results: The NMA included 43 studies with a total of 3138 participants. Random-effects models revealed significant efficacy for acupuncture (ACUP) (P-score = 0.92; pooled standardized mean difference (95% CI): -3.12 (-4.63 to -1.60)) and transcranial direct current stimulation (P-score = 0.85; -2.78 (-5.06 to -0.49)) compared to the treatment as usual (TAU) group. In categorical comparisons, TCM_PT (P-score = 0.82; -1.91 (-3.54 to -0.28)), TCM (P-score = 0.79; -1.65 (-2.33 to -0.97)), and NIES (P-score = 0.74; -1.54 (-2.62 to -0.46)) showed significant differences compared to TAU group. Furthermore, our results indicated no significant difference between PT and the control groups. However, Confidence in Network Meta-Analysis results indicated very low overall evidence grade. Conclusion: Limited evidence suggests that ACUP may be the most effective non-pharmacological therapy for improving PSD, and TCM_PT is the best intervention class. However, the evidence quality is very low, underscoring the need for additional high-quality RCTs to validate these findings, particularly given the limited number of RCTs available for each therapy.
引用
收藏
页码:99 / 107
页数:9
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