Observation on the Efficacy of Acupuncture for Cognitive Function in Patients with Primary Insomnia
Bibliographic record
Abstract
In order to observe the effect of acupuncture on cognitive function in patients with primary insomnia, we recruited 32 patients with primary insomnia as the acupuncture group and 30 healthy subjects as the control group.And the acupuncture group were treated with scalp acupuncture combined with body-acupuncture for 3 weeks, 5 times a week, with 2 days' rest. The control group was not intervened before and after treatment.To compare the differences of Pittsburgh Sleep Quality Index (PSQI), Brief Mental State Inventory (MMSE) and Montreal Cognitive Assessment Scale (MoCA) between the two groups. The results show that: (1) Before treatment, the PSQI score of the acupuncture group was higher than that of the control group(P<0.05),and after treatment, the scores were decreased(P<0.05); (2)There were differences in MMSE and MoCA scores between the two groups before treatment(P<0.05),and after acupuncture treatment, the score was significantly advanced(P<0.05). Ultimately our study suggest that patients with primary insomnia have mild cognitive impairment and acupuncture is effective in the treatment of primary insomnia, which can improve the sleep quality and cognitive function of patients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".