Short-Term Safety and Effectivess of Apipuncture in Knee Osteoarthritis: A Single-Arm Clinical Trial
Bibliographic record
Abstract
Objective: Osteoarthritis, a degenerative joint disease, often poses challenges in conventional medical treatment, leading patients to explore traditional and complementary medicine options including apitherapy. Bee venom, known for its analgesic and anti-inflammatory properties, has been considered as a potential therapy. This study investigates the short-term safety and effectiveness of applying live bee venom in knee osteoarthritis patients. Materials and Methods: Conducted at a university hospital's Apitherapy Clinic, this single-arm clinical trial enrolled individuals diagnosed with mild to moderate knee osteoarthritis (stage 2-3). A single session of live bee venom application was administered to acupuncture points ST35, EX-LE4, and ash-chi, specifically targeting the painful knee joint. Data collection involved the utilization of a Demographic Information Questionnaire and SF-12 Scale, along with a comparison of the Numerical Rating Scale (NRS), 5 Times Sit-to-Stand Test (5xSST), and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) questionnaire before and after the treatment. Results: Before the treatment, the average NRS value stood at 7.14 ± 1.7, and following the intervention, it notably decreased to 3.06 ± 2.16 (p<0.05). Additionally, the mean value for the 5xSST decreased from 14.59 ± 3.36 before treatment to 11.75 ± 2.30 after treatment. The WOMAC scale also showed a significant difference between pre- and post-treatment (p<0.05), with the mean value decreasing from 41.91 ± 18.07 before treatment to 15.57 ± 15.14 after treatment. Conclusion: The findings of this study indicate a significant improvement in the NRS, 5xSST, and WOMAC scales after the administration of live bee venom for knee osteoarthritis patients.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".