[<i>Bushen Tiaodu Yizhi</i> acupuncture combined with computer-assisted cognitive training for post stroke cognitive impairment: a randomized controlled trial].
Bibliographic record
Abstract
OBJECTIVE: acupuncture combined with computer-assisted cognitive training on the recovery of cognitive function and activities of daily living in patients with post stroke cognitive impairment. METHODS: acupuncture at Taixi (KI 3), Sanyinjiao (SP 6), Shuigou (GV 26), Baihui (GV 20), ect. was given in the observation group. In the control group, acupuncture at acupoints of limbs was given. The treatment was given once a day, 5 times a week for 8 weeks. Before and after treatment, the scores of Montreal cognitive assessment (MoCA) scale, modified Barthel index (MBI) and stroke syndrome of TCM scale were used to evaluate the cognitive function, activities of daily living and syndrome of TCM in the two groups. The latency and amplitude of P300 were detected by electromyographs and evoked response instrument. And the clinical efficacy was evaluated in the two groups. RESULTS: <0.01). CONCLUSION: acupuncture combined with computer-assisted cognitive training could improve the cognitive function of patients with post stroke cognitive impairment.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".