The Effect of <i>Chinemys reevesii Gray</i> Pharmacopuncture for Women with Knee Osteoarthritis
Bibliographic record
Abstract
Objectives : The aim of this study is to determine whether Chinemys reevesii Gray pharmacopuncture is a clinically effective treatment for women with knee osteoarthritis. Methods : Female patients with knee osteoarthritis were recruited from May 1, 2014 to April 15, 2015 at the Department of Acupuncture & Moxibustion Medicine of Dong-Eui University Korean Medical Hospital. Patients were randomly assigned to two groups. 4.0 ml of Chinemys reevesii Gray pharmacopuncture was injected at acupuncture points of the experimental group(n = 24) twice a week for three weeks. The control group(n = 24) received 5 % dextrose injections in order to identically stimulate the same acupuncture points of ST35, ST34, SP9, SP10, GB34, LR8, EX-LE4, and EX-LE2. The Short-Form McGill Pain Questionnaire(SF-MPQ), the Korean Western Ontario and McMaster Universities Osteoarthritis Index(KWOMAC), and the European Quality of Life-5 Dimensions(EQ-5D) were recorded to evaluate treatment efficacy at first visit, after two weeks and four weeks from the initial visit. Results : 40 patients completed the trial. The experimental group showed more significant improvement than the control group in the scores of SF-MPQ, KWOMAC, and EQ-5D. However, there was no significant difference between groups in a few of the assessment scales. Conclusions : Chinemys reevesii Gray pharmacopuncture can be an effective treatment in control of pain, improvement in function and health-related quality of life for women with knee osteoarthritis.
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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) | 0.001 | 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) | 0.002 | 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".