Electroacupuncture with different current intensities to treat knee osteoarthritis: a single-blinded controlled study.
Bibliographic record
Abstract
BACKGROUND: To assess the efficacy of Electroacupuncture (EA) stimulation with high-intensity compared with low-intensity on knee osteoarthritis (KOA). METHODS: Participants with KOA were randomized to either high-intensity EA group or low-intensity EA group. EA was applied unilaterally on the affected leg with the local points GB34, ST34, EX-LE4, EX-LE5, ST36, and SP9. The visual analogue scale (VAS) and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) were measured before and after participation. Plasma TNFα, IL-1β, IL-6, and apelin levels were also assessed by enzyme immunoassay (ELA) before and after treatment. RESULTS: Of 80 participants who consented to study participation, 77 completed the program. The patients showed a significant improvement in their pain, stiffness, and physical function on the VAS and WOMAC, accompanying with a significantly reduction in plasma levels of apelin and TNFα. Furthermore, high-intensity group exhibited statistically significant improvements in stiffness and physical function symptoms compared with low-intensity group. Plasma level of IL-6 was significantly decreased only after high-intensity EA treatment. Furthermore, apelin level was significantly inhibited in high-intensity EA group than in low-intensity EA group. CONCLUSIONS: Both high- and low-intensity EA treatments alleviate the clinical symptoms of KOA patients. High-intensity EA is more effective than low-intensity EA. Changes in plasma levels of TNFα, apelin and IL-6 may be involved in the therapeutic effect of EA on KOA.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".