[A Randomized Controlled Clinical Trial for Treatment of Shoulder-back Myofascial Pain Syndrome with Mild Moxibustion at Trigger Points].
Bibliographic record
Abstract
OBJECTIVE: To compare the efficacy difference between the mild moxibustion and acupuncture stimulation at trigger points in the treatment of shoulder and back myofascial pain syndrome (MPS), so as to provide a reference for clinical treatment of MPS. METHODS: A total of 60 patients with shoulder and back MPS were equally and randomly divided into mild moxibustion group and acupuncture group. The myofascial trigger points in the shoulder and back regions were stimulated with mild moxibustion for 20-100 min every time or punctured with filiform needles by retaining the needles for 30 min after twirling for a while. The treatment was conducted once daily for 10 days. The short-form McGill pain questionnaire (SF-MPQ) including the pain rating index[PRI consisting of 15 descriptors (11 sensory, 4 affective) which are rated on an intensity scale as 0=none, 1=mild, 2=moderate and 3=severe], present pain intensity (PPI) index of the standard MPQ and a visual analogue scale (VAS) was used to assess the patient's pain severity before and after the treatment. RESULTS: >0.05). CONCLUSIONS: Mild moxibustion stimulation of myofascial trigger point is effective in relieving shoulder-back MPS, being comparable to that of acupuncture therapy.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".