[Effect of acupuncture combined with moxibustion on serum matrix metalloproteinase-9 and matrix metalloproteinase inhibitor-1 in patients with knee osteoarthritis].
Bibliographic record
Abstract
OBJECTIVE: To observe the effect of acupuncture combined with moxibustion on serum bone metabolism indexes in patients with knee osteoarthritis (KOA), so as to evaluate its clinical efficacy on KOA. METHODS: Ninety-six patients with KOA were randomly divided into control and observation groups, with 48 cases in each group. The patients in the control group were treated with acupuncture at Zusanli(ST36), Neixiyan(EX-LE4), Heding(EX-LE2) and Xuanzhong(GB39) etc. on the affected side for 30 min once daily. Patients in the observation group were given moxibustion on the above-mentioned acupoints on the basis of treatment in the control group. The course of treatment for both groups was 4 weeks. The Western Ontario and MacMaster University Osteoarthritis Index (WOMAC) scores were compared before and after treatment and the clinical efficacy of the two groups were calculated according to the WOMAC scores after treatment. Ultrasound examination of the knee joint was used to analyze the thickness of joint effusion and synovial membrane thickness of the patients. Enzyme-linked immunoassay was used to detect the serum type Ⅰ collagen C-terminal foreign body peptide (CTX-Ⅰ), insulin-like growth factor (IGF), bone gla protein (BGP), matrix metalloproteinase-9 (MMP-9), matrix metalloproteinase inhibitor-1 (TIMP-1) levels. RESULTS: <0.05). CONCLUSION: Acupuncture combined with moxibustion can regulate bone metabolism and effectively improve the symptoms of KOA patients, which may be related to its effect in regulating the dynamic balance of MMP-9 and TIMP-1 in serum.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".