[Clinical effect of thunder-fire moxibustion combined with electroacupuncture in the treatment of cold-dampness knee osteoarthritis: a randomized controlled trial].
Bibliographic record
Abstract
OBJECTIVE: To investigate the clinical effect of thunder-fire moxibustion combined with electroacupuncture in the treatment of cold-dampness knee osteoarthritis. METHODS: A total of 72 patients with cold-dampness knee osteoarthritis were randomly divided into observation group and control group according to the random numbers generated by computer software, with 36 patients in each group. For the observation group, electroacupuncture was performed at the main acupoints of Dubi (ST35), Neixiyan (EX-LE4), Zusanli (ST36), Yanglingquan (GB34), Yinlingquan (SP9), Xuehai (SP10), Liangqiu (ST34), and Heding (EX-LE2) once a day, with a needle retaining time of 30 min, and thunder-fire moxibustion was performed at Shenque (CV8) and Guanyuan (CV4) in the form of suspended moxibustion once a day, with 30 min each time. The patients in the control group were given oral administration of diclofenac sodium double-release enteric-coated capsules, 75 mg each time, once a day, and Fugui Gutong capsules, 6 capsules a time and 3 times a day. Each course of treatment was 14 days, and both groups were treated for 2 courses, with an interval of 2 days between the two courses. Visual Analogue Scale (VAS) score, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score, and Lequesne index were observed before the treatment, immediately after the treatment, and at 4 months after the treatment, and the outcome of traditional Chinese medicine (TCM) syndrome was compared between the two groups after treatment. RESULTS: <0.05). CONCLUSION: Thunder-fire moxibustion combined with electroacupuncture has a better, more durable clinical effect and fewer adverse reactions than the drugs in the treatment of cold-dampness knee osteoarthritis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".