Study on Acupuncture Rehabilitation Nursing Measures for Patients with Limb Dysfunction Based on Systematic Evaluation Results
Bibliographic record
Abstract
Acupuncture belongs to the quintessence of Chinese medicine and has been applied for thousands of years. It is of positive significance to do rehabilitation nursing for patients with limb dysfunction. Search the medical journal database of wanfang data Medical Information System, CNKI, and academic dissertation database, etc., and obtain all random and semi-random controlled trials involving acupuncture and moxibustion for limb dysfunction, and then make statistical analysis on the included literatures. A total of 10 randomized controlled trials with 759 patients were included. Meta-analysis showed that there were significant differences in scores of simple mental state examination scale, Montreal cognitive assessment scale, activities of daily living scale, clock drawing test and total effective rate between the experimental group and the control group. The results of this meta-analysis suggest that acupuncture combined Meta cognitive rehabilitation training is better than cognitive rehabilitation training or drugs alone. However, due to the low quality of the original literature, high-quality, multicenter, large sample randomized blind controlled trials are needed to confirm it.
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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 | 0.017 | 0.044 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.019 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".