Needle retaining after electroacupuncture combined with cognitive training for post-stroke cognitive impairment: a multi-center randomized controlled trial.
Bibliographic record
Abstract
OBJECTIVES: To compare the efficacy of needle retaining after electroacupuncture combined with cognitive training and electroacupuncture combined with cognitive training in the treatment of post-stroke cognitive impairment (PSCI). METHODS: A total of 206 patients with PSCI were randomized into a needle retaining group (103 cases, 9 cases dropped out) and an electroacupuncture group (103 cases, 6 cases dropped out). In addition to the conventional basic medical treatment and the rehabilitation treatment, in the needle retaining group, electroacupuncture at Shenting (GV 24) and Baihui (GV 20) was applied, with continuous wave of 50 Hz in the first 15 min and with disperse-dense wave of 2 Hz/50 Hz in the last 15 min, the needles were continuously retained for 1 h after electroacupuncture, during which cognitive training was adopted; in the electroacupuncture group, cognitive training was performed after the same electric stimulation exerted for 30 min, without additional needles retaining. The treatment was given once a day, 5 times a week for totally 8 weeks in the two groups. Before and after 8-week treatment, the TCM syndrome score was observed; before and after 4,8-week treatment, the scores of mini-mental state examination (MMSE), Montreal cognitive assessment (MoCA) and ability of daily living were observed in the two groups. The clinical efficacy of the two groups was evaluated after 8-week treatment. RESULTS: <0.05). CONCLUSIONS: Both needle retaining after electroacupuncture combined with cognitive training and electroacupuncture combined with cognitive training can effectively treat PSCI, improve the clinical symptom, cognitive function and ability of daily living in PSCI patients. Needle retaining after electroacupuncture combined with cognitive training has a better therapeutic effect.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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; a candidate call from one teacher head, 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".