Randomized Controlled Clinical Trails on Treatment of Knee Osteoarthritis with Acupuncture Combined with Blood-letting Therapy
Bibliographic record
Abstract
Objective To observe the therapeutic effect of acupuncture combined with blood-letting therapy for knee osteoarthritis(KOA) and to analyze the synergism of the blood-letting therapy.Methods Sixty-three cases of KOA patients were randomized into a treatment group(n=31)and a control group(n=32).Patients of treatment group were treated with routine acupuncture at Ashi-points,Dubi(ST 35) and Neixiyan(EX-LE 4),Zusanli(ST 36),Yanglingquan(GB 34),etc.on the affec-ted side,3 times a week for 4 weeks,in combination with blood-letting(at the superficial veins around popliteal fossa) once a week for 4 weeks.Patients of control group were treated with routine acupuncture only.Western Ontario and McMaster Universities osteoarthritis index scores(WOMAC) and clinical therapeutic effects served as the objective indexes for evaluating the efficacy of blood-letting therapy.Results After the treatment,of the 32 and 31 KOA patients in control and treatment groups,4(12.50%) and 5(16.13) were under control in their symptoms,14(43.75%) and 17(54.84%) experienced marked improvement,10(31.25%) and 6(19.35%) had an improvement,and 4(12.50%) and 3(9.68%) were failed,with the total effective rates being 87.50% and 90.32% respectively.No significant difference was found between the two groups in the therapeutic effect(P>0.05).In comparison with pre-treatment,WOMAC scores,pain index,and physiological integral scores in treatment and control groups after the first and the last treatment decreased significantly(P<0.001),and their joint stiffness index of the last treatment also lowered considerably(P<0.001).The difference values of the integral scores between post-and pre-treatment in WOMAC,pain index,and physiological function of treatment group were remarkably higher than those of control group(P<0.05).Conclusion Acupuncture combined with blood-letting therapy can effectively improve KOA patients' physiological function and reduce joint pain especially in the early stage.
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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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.004 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".