Comparison of the Efficacy between Conventional Moxibustion and Smoke-Free Moxibustion on Knee Osteoarthritis: A Randomized Controlled Trial
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to investigate the difference of efficacy between conventional moxibustion (CM) and smoke-free moxibustion (SM) for patients with osteoarthritis of the knee (KOA). METHODS: This is a multicentre, randomized, single blinded, parallel-group clinical trial. Patients with KOA were randomly allocated to CM group (69) and SM group (69) in 7 hospitals of China. Moxibustion treatment in 12 sessions over 4 weeks was administrated at 3 acupuncture points (EX-LE4, ST35, and ST36). Patients completed standard questionnaires at baseline and after 2 weeks, 4 weeks, 8 weeks, and 12 weeks. The primary outcome was the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) from the baseline to 4 weeks. The secondary outcomes include Visual Analogue Scale (VAS) and Patient Global Assessment score (PGA). RESULTS: Analyses showed that the WOMAC score improved in pain (95% CI,-0.1[-1.2 to 0.9], p=0.76), stiffness (95% CI,-0.1 [-0.5 to 0.3], p=0.71), and function (95% CI, 2.2 [-1.3 to 5.8], p=0.22) compared between the two groups at 4 weeks, as well as the VAS score (95% CI,0.1 [-0.3 to 0.6], p=0.60). Similar results presented at 8 and 12 weeks. No statistically significant difference was observed between CM and SM groups for outcome measurements. CONCLUSIONS: It suggested that smoke generated during moxibustion treatment does not affect the efficacy of moxibustion in the treatment of KOA, which should be taken into account to be removed for the sake of reducing environmental pollution or moxa smoke exposure of acupuncturists or patients. This trial is registered with Clinical Trials.gov, NCT02772055.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".