Effect observation on the acupoint massage with stone needles along the meridian in patients with knee osteoarthritis
Bibliographic record
Abstract
ObjectiveTo investigate the application effect of acupoint massage with stone needles along the meridian in patients with knee osteoarthritis.MethodsSixty patients with knee osteoarthritis were randomly divided into control group and observation group，30 cases in each group.The control group received oral glucosamine hydrochloride capsule and computerized intermediate frequency treatment.The observation group received acupoint massage with stone needles along the meridian once a day on the basis of the control group，for 2 courses of intervention，which including 7 days for 1 course of treatment.The scores of Western Ontario and Mc-Master Universities Osteoarthritis Index （WOMAC） and Visual Analogue Scale （VAS） were compared after 1 course and 2 courses of treatment，respectively.Scores of the Short Form of the Arthritis Impact Measurement Scales 2 （AIMS2-SF） were compared after 2 courses of treatment.ResultsThe scores of WOMAC，VAS，and AIMS2-SF in the two groups after the intervention were significantly different from those in the same group before intervention （P<0.05）.After the intervention，the WOMAC score and VAS score in the observation group were lower than those in the control group （P<0.05）；the AIMS2-SF score of the observation group was higher than that of the control group （P<0.05）.ConclusionsThe acupoint massage with stone needles along the meridian could relieve the pain symptoms of knee osteoarthritis and improve joint function and quality of life.
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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 | 0.001 |
| 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) | 0.001 | 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".