Effects of Tongbi capsule on knee joint function and synovial fluid levels of matrix metalloproteinase-3,-9 in patients with knee osteoarthritis
Bibliographic record
Abstract
Objective To investigate the effects of Tongbi capsule on the knee joint function and the synovial fluid levels of matrix metalloproteinase (MMP)-3,-9 in patients with knee osteoarthritis. Methods A total of 76 patients with knee osteoarthritis were randomly divided into a control group and an observation group according to the random number table, 38 in each group. Patients in the control group were treated with glucosamine hydrochloride capsules, while patients in the observation group were given Tongbi capsule on the basis of the control group. Both groups were treated for 12 weeks. The Western Ontario and McMaster Universities Osteoarthritis Index was used to measure the knee joint function, and enzyme-linked immunosorbent assay was used to determine the synovial fluid levels of MMP-3 and MMP-9. Results The knee joint function in the observation group was significantly improved than that in the control group (94.74% vs. 78.95%;χ2=4.146, P<0.05). The synovial fluid levels of MMP-3 (67.58 ± 22.35 ng/ml vs. 93.51 ± 27.84 ng/ml; t=4.477, P<0.01) and MMP-9 (36.24 ± 10.56 ng/ml vs. 51.87 ± 12.35 ng/ml; t=5.930, P<0.01) in the observation group patients were significant lower than those in the control group after treatment. Conclusions Tongbi capsule was effective in treating knee joint function in patients with knee osteoarthritis, and its mechanism may be related to its reducing the synovial fluid levels of MMP-3 and MMP-9. Key words: Osteoarthritis, knee; Matrix metalloproteinase 3; Matrix metalloproteinase 9; Synovial fluid; Tongbi capsule
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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 | 0.001 |
| 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".