Clinical efficacy and safety of acupuncture therapy for central facial palsy after stroke： a systematic review and Meta-analysis
Bibliographic record
Abstract
ObjectiveTo systematically evaluate the efficacy and safety of acupuncture therapy in the treatment of central facial palsy after stroke.MethodsA computerized search of articles on acupuncture treatment of central facial palsy was conducted from databases of China National Knowledge Infrastructure（CNKI）， Wanfang Data Knowledge Service Platform （Wanfang）， VIP Information Chinese Journal Service Platform （VIP） ， China Biomedical Literature Database（CBM）， Cochrane Library， PubMed， Embase and Web of Science from their inception to September 25<sup>th</sup>， 2023. The Cochrane risk of bias assessment tool was used to evaluate the risk of bias of all the included literature， and Meta-analysis on the extracted data was conducted using Review Manager 5.4 software.ResultsEleven studies with a total of 893 patients were finally included， and the bias risks of the included studies were all “some concerns”. The results of Meta-analysis suggested that： 1） the observation group was superior to the control group in improving the the House-Brackmann facial nerve grading system （H-B） scores （<italic>MD</italic>=6.41， 95%<italic>CI</italic> ［3.69，9.14］， <italic>Z</italic>=4.62， <italic>P</italic><0.000 01）， facial disability index （FDI） scores （somatic function） （<italic>MD</italic>=2.72， 95%<italic>CI</italic> ［0.31，5.12］， <italic>Z</italic>=2.21， <italic>P</italic>=0.03）， and clinical effective rate （<italic>RR</italic>=1.25， 95%<italic>CI</italic> ［1.15，1.35］， <italic>Z</italic>=5.57， <italic>P</italic><0.000 01）； 2） the observation group was not significantly different from the control group in improving the Toronto facial nerve assessment system （TFGS） scores （<italic>MD</italic>=3.66， 95%<italic>CI</italic> ［ -2.33， 9.65］， <italic>Z</italic>=1.20， <italic>P</italic>=0.23）， the degrees of facial nerve paralysis （DFNP） scores （<italic>MD</italic>=4.60， 95%<italic>CI</italic> ［ -1.14， 10.34］， <italic>Z</italic>=1.57， <italic>P</italic>=0.12）， FDI scores （social function） （<italic>MD</italic>=3.00， 95%<italic>CI </italic>［ -0.67， 6.66］， <italic>Z</italic>=1.60， <italic>P</italic>=0.11）.ConclusionAcupuncture therapy has advantages in clinical efficacy and safety than conventional drugs and other sports rehabilitation therapies in improving post-stroke central facial palsy. However， more high-quality clinical trials are warranted to provide adequate clinical evidence.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.012 | 0.004 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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; a candidate call from one teacher head, not a consensus.
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".