[Electroacupuncture for post stroke cognitive impairment: a systematic review and Meta-analyses].
Bibliographic record
Abstract
OBJECTIVE: To systematically evaluate the efficacy and safety of electroacupuncture (EA) for post stroke cognitive impairment (PSCI). METHODS: The randomized clinical trials (RCTs) regarding EA for PSCI published before October of 2016 were researched in China National Knowledge Infrastructure (CNKI), Chinese Biomedical Database (CBM), WanFang database, VIP medicine information system, PubMed and Cochrane Library. The literature screening and information extraction was conducted by two independent reviewers. The quality assessment was performed based on the guidance of the Cochrane Reviewers' Handbook, and Meta-analyses was performed by using RevMan 5.3 software. RESULTS: =0.15]. CONCLUSION: This Meta-analyses confirmed EA is effective and safe for PSCI, which could improve cognitive function and motor function. However, because of low quality of the included studies, more well-designed multicenter RCTs are needed.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.005 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".