[Efficacy observation of knee osteoarthritis treated with acupuncture].
Bibliographic record
Abstract
OBJECTIVE: To evaluate the clinical efficacy of the conventional acupuncture on knee osteoarthritis (KOA). METHODS: Seventy-three cases of KOA were treated with the conventional acupuncture therapy at Liang-qiu (ST 34), Dubi (ST 35), Zusanli (ST 36), Yanglingquan (GB 34), Yinlingquan (SP 9), etc. The conventional acupuncture therapy lasted for 4 weeks (at least 3 treatments and less than 5 times each week). At the end of treatment, the follow-up visit lasted for 4 weeks. The Western Ontario and McMaster Universities osteoarthritis index (WOMAC) and the visual analogue scale (VAS) were adopted for the efficacy assessments of the patients. RESULTS: Of 73 cases, 49 cases accomplished the trial. The data of the lost cases were included in the final data analysis. At the end of 4-week treatment and the follow-up visit, every score in VAS and WOMAC was decreased The conventional acupuncture therapy reduces the joint pain for apparently (P < 0.001, P < 0.05). CONCLUSION: the patients with KOA and improves the joint function. The 4-week follow-up visit indicates that the efficacy of acupuncture is still sustained.
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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 | 0.001 | 0.001 |
| 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) | 0.002 | 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".