Efficacy of Knee Acupuncture added Sanyinjiao Point for Patients with Knee Osteoarthritis Through Attenuated Systemic Inflammations
Bibliographic record
Abstract
Abstract Osteoarthritis (OA) is a progressive degradation of the cartilage that is strongly linked to the inflammation, and resulting in pain, stiffness, and loss of mobility. Currently, interventions aimed at reducing inflammation, alleviating pain, and enhancing joint mobility are recommend in patients with OA. Although intervention with traditional acupuncture has been shown to reduce pain, inflammation, and improve knee motion, the effects of acupuncture added Sanyinjiao (SP6) point on pain, inflammation and knee motion have never been investigated in patients with knee OA. Twenty-three patients with knee OA were subjected to receive acupuncture added SP6 twice a week for five weeks (totaling ten sessions). Patients were assessed at baseline and after ten sessions of acupuncture added SP6 using knee range of motion measurement, modified Western Ontario and McMaster Universities OA Index, numerical rating scale, and systemic inflammation levels. After the end of treatment, the knee pain was significantly reduced in patients when compared to baseline (P < 0.001). Addition to improvement in knee pain, knee flexion and extension also showed significant improved compared to baseline (P < 0.001). Furthermore, the low-grade systemic inflammation levels were decreased in patients when compared to baseline (P < 0.001). Therefore, this is the first study to show that acupuncture added SP6 point provides the beneficial effects on pain and inflammation, improving knee motion in patients with knee OA. Keywords: Acupuncture, Inflammation, Knee motion, Knee osteoarthritis, Pain, Chinese medicine
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".