[Meta-analysis of efficacy and safety of scalp acupuncture in the treatment of autism spectrum disorder].
Bibliographic record
Abstract
OBJECTIVES: To assess the efficacy and safety of scalp acupuncture in the treatment of autism spectrum disorder (ASD). METHODS: A comprehensive search was conducted using PubMed, EMbase, The Cochrane Library, Web of Science, SinoMed, China National Knowledge Internet, China Science and Technology Journal Database, and Wanfang Data databases. The Cochrane Handbook of Systematic Reviews 5.1.0 was used to evaluate the risk of bias in the included randomized control trials (RCTs). A Meta-analysis was performed using RevMan 5.4.1 statistical software. RESULTS: <0.01]. CONCLUSIONS: Scalp acupuncture is effective in improving the language problems, behavior problems, social adaptation and other symptoms of autism children, and has high safety. However, due to the insufficient quality of the research methods included in the literature, the integration of subjects with different severity and age, and the wide variation in the duration of the intervention, the conclusion of this study still needs to be validated by more rigorous and high-quality randomized controlled trials, with long-term follow up.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.029 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.040 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".