Comparative Study on the Effects of Bee Venom Pharmacopuncture According to the Treatment Method for Knee Osteoarthritis
Bibliographic record
Abstract
OBJECTIVES: The purpose of this study is to compare the effects of bee venom pharmacopuncture (BVP) therapy according to the methods used to treat knee osteoarthritis (OA): intra-acupoint combined with intra-articular injection, intra-acupoint injection, and intra-articular injection. METHODS: A total of 69 patients were recruited by the Department of Acupuncture & Moxibustion at Dong- Eui Oriental University Hospital from February 1 to July 23, 2012. The patients were assigned to 3 groups: the first group with intra-acupoint combined with intraarticular BVP Injection (the experimental group), the 2nd group with intra-acupoint BVP injection (control groupⅠ), and the 3rd group with intra-articular BVP injection (control groupⅡ). The participants were assigned in the order in which they were recruited. Treatments were done twice a week, for a total of 9 times. The effectiveness was assessed by using the visual analouge scale (VAS) and the Korea Western Ontario and McMaster Universities Osteoarthritis Index (KWOMAC). RESULTS: All three groups exhibited significant VAS and KWOMAC effects. Moreover, the 4 week follow-up after the final treatment showed a persistence of BVP effects. However, when the groups were compared, no statistically significant differences in VAS and KWOMAC were noted, but when improvement was considered, the results showed that intra-articular injection was more effective than intra-acupoint injection. Especially, intra-acupoint combined with intra-articular injection was the most effective among the three treatments. CONCLUSIONS: Combining intra-acupoint with intraarticular injection, depending on the patient's symptoms, may produce better results when conservatively treating knee OA.
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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) | 0.001 | 0.001 |
| 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 | 0.001 | 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".