[Internal heat acupuncture therapy for 44 cases knee osteoarthritis of early to middle stages].
Bibliographic record
Abstract
OBJECTIVE: To observe the clinical effect of internal heat acupuncture therapy for knee osteoarthritis of early to middle stages, and explore its influence on cartilage thickness. METHODS: points (most of them are located at the subpatellar fat pad, both sides of the patellar ligament, the tendon of the quadriceps and the attachment of the medial and lateral collateral ligaments), once a week, a total of 4 weeks of treatment. Before and after treatment, after 3 months of treatment completion (in the follow-up), the visual analogue scale (VAS) score, Western Ontario and McMaster Universities osteoarthritis index (WOMAC) score, frequency of 30-second chair stand test (30sCST), cartilage thickness of femoral intercondylar and knee joint ultrasound score were compared, and the clinical effect was evaluated. RESULTS: <0.05) compared with those before treatment. After treatment, the total effective rate was 93.2% (41/44), in the follow-up, the total effective rate was 95.5% (42/44). CONCLUSION: Internal heat acupuncture therapy is effective in the treatment of knee osteoarthritis of early to middle stages, could relieve the pain, improve the joint function, and delay cartilage degeneration and disease progression.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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".