Efficacy Analysis on Patients with Knee Osteoarthritis Accepting Acupuncture Treatment with Different Frequencies
Bibliographic record
Abstract
Objective:The purpose of the study was to assess the efficacy of acupuncture with different frequencies on patients with knee osteoarthritis.sMethods:In a non-randomized concurrent control trial,patients with knee osteoarthritis were allocated to two treatment groups:the acupuncture group(n = 97) and the control group(n = 96).The acupuncture group received acupuncture treatment for a period of first four weeks,and followed up for four weeks after cessation of treatment.The patients in acupuncture group were divided into low-frequency group,medium-frequency group and high-frequency group according to the frequency of treatment.The waiting list control group received delayed acupuncture treatment.All patients were treated by use of eight acupuncture points:Xuehai(P10),Liangqiu(ST34),Xiyangguan(GB33),Yinlingquan(SP9),Yanglingquan(GB34),Dubi(ST35),Zusanli(ST36),and Neixiyan(EX-LE5).Patients were assessed by using the Western Ontario and McMasters Universities Osteoarthritis(WOMAC) questionnaire as major index and the Visual Analogue Pain Scale(VAS) as side index.Results:The acupuncture group showed significant improvements compared with the control group(P 0.001) at week four.There was no difference of the WOMAC and VAS scores among the low-frequency group,medium-frequency group and high-frequency group(P 0.05)at each follow-up time point.On all WOMAC subscales(pain,stiffness,and physical function),there were no significant differences among the low-frequency group,medium-frequency group and high-frequency group at week four and week eight(P 0.05).Conclusion:In our study,acupuncture seems to provide improvement in function and pain relief for knee osteoarthritis when compared with control group.There were no significant differences among the different frequency groups in terms of any of the outcomes,at each follow-up time point.Three times per week of acupuncture treatment is enough for 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| 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 | 0.001 | 0.001 |
| 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".