Acupuncture Treatments for Post-stroke Depression: A Systematic Review and Network Meta-analysis
Bibliographic record
Abstract
Abstract Background: Depression is one of the most common complications after stroke, with a prevalence of 30-33%. 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. In this review, we aimed to explore the impact of acupuncture in alleviating symptoms of PSD and to evaluate the difference in effectiveness between acupuncture combined with pharmacotherapies and various non-pharmacotherapies in order to provide guides and advice for clinical personnel. Methods: Six databases (Cochrane Library, PubMed, EMBASE, China National Knowledge Infrastructure, Wanfang Database, Chongqing VIP Database) and two clinical trials registration platforms were searched from inception to May 2021. Randomized clinical trials (RCTs) comparing needle-based acupuncture with pharmacotherapy, and other non-pharmacotherapy or invalid group were included. Two independent reviewers identified eligible studies. Two reviewers independently abstracted and recorded data into a pre-made form. A Bayesian network meta-analysis (NMA) was conducted to assess and compare different techniques using RStudio 3.6.0. The primary outcome was the change in scores of scales measuring depressive symptoms. The secondary outcomes were changes in serotonin levels and in quality of life. Results: Fifty-nine RCTs were included. The results of this NMA showed that compared with western medicine (WM), acupuncture alone or with repetitive transcranial magnetic stimulation (RTMS), Traditional Chinese medicine (TCM) alone or with WM, were superior for alleviating depression symptoms. Compared to Usual Care, acupuncture alone or plus other therapies could significantly decrease scores of the Hamilton Depression Rating scale. However, there was no significant difference found among acupuncture, WM, TCM with AC plus any of other treatment. Conclusions: The results of this study indicate that acupuncture alone or combined with other therapies appear to be effective in improving depression symptoms of stroke survivors. Moreover, in comparison with WM, acupuncture alone or plus RTMS, TCM, TCM with WM, or WM, were more effective in improving depression symptoms. Also, acupuncture with RTMS seems to be the most effective with the highest probability.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.028 | 0.013 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".