Effect of Single Acupuncture Point (Liver 7) on Pain and Range of Motion on Osteoarthritis of Knee
Bibliographic record
Abstract
Background: Osteoarthritis of the knee (OAK) is a chronic degenerative musculoskeletal disorder that strongly affects the elderly population and decreases their quality of life.Pain, stiffness, and restricted knee movements are the major characteristic features of OAK.There are no studies available on the effect of the liver 7 (LR 7) acupuncture point on pain and range of motion.Objectives: To study the effectiveness of the LR 7 acupuncture point on pain and range of motion in chronic OAK patients.Methods: Thirty-five subjects aged between 40 and 65 years were recruited from Government Yoga and Naturopathy Medical College, Chennai.Participants were included in the study after they fulfilled the eligibility criteria.The duration of acupuncture was 20 minutes (5 days/week) for 2 weeks.Baseline and post-intervention assessments were performed using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and the degree of knee flexion and extension was measured using a goniometer.Results: Pre-and post-trial outcomes were compared using paired t-tests.LR 7 acupuncture reduced the WOMAC score from 49 to 30 (p < 0.001), indicating that pain was alleviated.Treatment increased the range of knee flexion from 110 to 115 degrees and reduced knee extension (p < 0.01) from 16 to 9 degrees (p < 0.001).These findings indicate that acupuncture treatment improved the range of knee movement.Conclusion: The present study showed that 10 sessions of LR 7 acupuncture for people with OAK significantly reduced pain and increased range of motion.We conclude that LR 7 acupuncture is an adjuvant therapy for alleviating pain and managing OAK.
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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 | 0.000 | 0.000 |
| 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) | 0.003 | 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".