[Clinical effect of acupuncture based on syndrome differentiation in the treatment of chronic insomnia and its influence on cognitive function].
Bibliographic record
Abstract
OBJECTIVE: To compare the effect of acupuncture based on syndrome differentiation and estazolam in the treatment of chronic insomnia and its influence on cognitive function. METHODS: A total of 90 patients with chronic insomnia were randomly divided into an acupuncture group and a medication group, 45 cases in each group. The acupuncture group was treated with acupuncture at Sishencong (EX-HN 1) and bilateral Shenmen (HT 7), Sanyinjiao (SP 6) combined with compatibility of acupoints based on syndrome differentiation, once a day for 6 d and then rest for 1 d, for a total of 4 weeks. The medication group was treated with oral estazolam tablets before bedtime, 1 tablet each time, for a total of 4 weeks. Before and after treatment, the scores of Pittsburgh sleep quality index (PSQI), mini-mental state examination (MMSE), Montreal cognitive assessment (MoCA) and auditory verbal memory test (AVMT) of the two groups were compared, and the effects were evaluated. RESULTS: <0.05). CONCLUSION: Syndrome differentiation acupuncture can improve the sleep quality and cognitive function of patients with chronic insomnia, and the curative effect is better than that of estazolam.
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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 | 0.000 | 0.000 |
| 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".