[Effect of moxibustion on memory function and related serum protein markers in patients with amnestic mild cognitive impairment].
Bibliographic record
Abstract
OBJECTIVE: To observe the clinical effect of moxibustion therapy based on "sancai yizhi" (benefiting the intelligence) therapy on the improvements of memory function and serum protein markers, Aβ1-42, Tau and phosphorylated Tau （P-tau） in the patients with amnestic mild cognitive impairment (aMCI), and has a preliminary exploration on its peripheral mechanism. METHODS: A total of 120 patients with aMCI were divided into a moxibustion group and a medication group using a random number table, 60 patients in each group. In the moxibustion group, 6 cases were dropped out and 5 cases were withdrawn, and then 49 cases accomplished the trial finally. In the medication group, 8 cases were dropped out and 6 ceases were withdrawn, thus 46 cases finally accomplished the trial. In the moxibustion group, moxibustion therapy was provided at Baihui (GV20), Shenque (CV8) and bilateral Yongquan (KI1), once every other day, 20 minutes each time, totally for 8 weeks. In the medication group, donepezil hydrochloride tablets were administered orally, 5 mg once a day, consecutively for 8 weeks. The scores of Rivermead behavioral memory test (RBMT) and Monterey cognitive assessment (MoCA) scale were adopted as the indicators to evaluate the therapeutic effect after treatment in the two groups. Enzyme linked immunosorbent assay (ELISA) was used to detect the changes of the levels of serum protein marker levels, i.e. Aβ1-42, Tau and P-tau before and after treatment in the patients of two groups. RESULTS: >0.05). CONCLUSION: Moxibustion therapy based on "sancai yizhi" theory improves the cognitive function in the patients with aMCI and it affects the levels of serum Aβ1-42, Tau and P-tau, which may be the reason for the improvement of cognitive function in the patients with aMCI.
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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) | 0.001 | 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".