Efficacy Observation on Acupuncture with Diverse Frequencies in Treating Mild Vascular Cognitive Impairment
Bibliographic record
Abstract
Objective To observe the clinical efficacy on acupuncture of diverse frequencies in treating mild vascular cognitive impairment(MVCI).Method Thirty-two patients with MVCI were divided into a treatment group of 16 cases and a control group of 16 cases according to patients' own wills.The two groups both received acupuncture treatment,3 times a week in the treatment group and 2 times a week in the control group.Clinical efficacies and changes of Montreal Cognitive Assessment(MoCA) score were compared after 10-week treatment.Result The two groups both had marked changes in MoCA score after treatment(P 0.01).The total effective rate was 64.3%in the treatment group versus 50.0%in the control group,and the difference was statistically insignificant(P0.05).In comparing MoCA score after treatment,the difference between the treatment group and the control group was statistically insignificant(P0.05).Both groups had marked changes in terms of attention and calculation,language,delayed memory,and visuospatial abilities in MoCA after treatment(P0.01).Conclusion Acupuncture intervention has accurate short-term therapeutic efficacy for MVCI,and the two treatment frequencies,twice a week and three times a week,don't make significant difference in treatment effect.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| 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; 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".