Electroacupuncture versus manual acupuncture for knee osteoarthritis: a randomized controlled pilot trial
Bibliographic record
Abstract
Objective: We aimed to explore the feasibility of evaluating the comparative effectiveness and safety of electroacupuncture (EA) relative to manual acupuncture (MA) for the treatment of knee osteoarthritis (KOA). Methods: A multicenter randomized controlled clinical trial was conducted in Beijing from September 2017 to January 2018. A total of 60 participants with KOA were randomly allocated to either EA ( n = 30) or MA ( n = 30) groups. Participants in the EA group were treated with EA at six to seven local traditional acupuncture points or ah shi points, and two to three distal points. Participants in the MA group had the same schedule as the EA group except that the electrical apparatus featured a working power indicator without actual current output, constituting a sham EA procedure, in order to blind participants. Both groups received 24 sessions over 8 weeks. The primary outcome was response rate, defined as a change of ⩾50% from baseline in the total scores of the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) after 8 weeks. Secondary outcomes included pain, stiffness, function, quality of life, and acupuncture-related adverse events (AEs) at 4 and 8 weeks. Results: Of 60 participants randomized, 53 (88%) completed the study. Response rates were 43% for the EA group and 30% for the MA group by the intention-to-treat analysis. Although significant differences were observed in WOMAC pain, stiffness, and function scores within both groups, between-group differences at 8 weeks did not reach statistical significance (odds ratio = 1.75 (95% confidence interval = 0.593–5.162)). Rates of AEs were low and similarly distributed between groups. Conclusion: Both EA and MA interventions in KOA were feasible and appeared safe. Whether or not EA may have a stronger impact on pain and function requires further evaluation through larger, adequately powered, randomized controlled trials. Trial registration number: NCT03274713.
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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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".