[Effect of fire needling on mild to moderate knee osteoarthritis and related serum inflammatory cytokines].
Bibliographic record
Abstract
OBJECTIVE: To compare the clinical effect of fire needling and filiform needling for mild to moderate knee osteoarthritis (KOA) and observe the influence on related serum inflammatory sytokines. METHODS: point. The observation group was treated with fire needling, while the control group was treated with filiform needling. Both groups were treated once every other day, 3 times a week for 2 weeks. The Western Ontario and McMaster University osteoarthritis index (WOAMC) scores of the two groups were compared before treatment, in 1, 2 weeks of treatment and 2, 6 weeks of follow-up. ELISA method was used to detect the levels of serum interleukin 1α (IL-1α), tumor necrosis factor α (TNF-α) and matrix metalloproteinase 3 (MMP-3) before treatment and in 2 weeks of treatment. The clinical effect of the two groups was evaluated in 1, 2 weeks of treatment and 2, 6 weeks of follow-up. RESULTS: <0.05). CONCLUSION: Fire needling can improve the pain, stiffness and joint dysfunction of patients with mild to moderate KOA, and increase serum MMP-3 and IL-1α levels. Its short and long term clinical effects are better than filiform needling.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.004 | 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".