[Effect of electroacupuncture on serum melatonin and dopamine in aged insomnia].
Bibliographic record
Abstract
OBJECTIVE: To observe the clinical effect of electroacupuncture (EA) on aged insomnia, and explore its possible mechanism. METHODS: A total of 60 patients with aged insomnia were randomly divided into an EA group (30 cases) and a sham EA group (30 cases, 1 case dropped off). The patients in the EA group were treated with acupuncture at Baihui (GV 20), Yintang (GV 29), Shenmen (HT 7), Sanyinjiao (SP 6), Xinshu (BL 15) and Shenshu (BL 23), and EA was used at Baihui (GV 20) and Yintang (GV 29), with intermittent wave, 2 Hz in frequency. In the sham EA group, the acupoints and the EA connection acupoints were the same as those in the EA group, 2-3 mm in depth, but no current was connected. The intervention was given 30 min each time, once every other day, 3 times a week for 4 weeks in the both groups. Before and after treatment, the Pittsburgh sleep quality index (PSQI) and Montreal cognitive assessment (MoCA) scale were used to assess sleep quality and cognitive function, and serum melatonin (MT) and dopamine (DA) levels were detected. RESULTS: <0.05). CONCLUSION: Electroacupuncture can improve sleep quality and cognitive function in aged insomnia patients, and its mechanism may be related to regulating serum MT and DA levels.
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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".