Adjuvant Auricular Electroacupuncture and Autogenic Training in Rheumatoid Arthritis: A Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: In contrast to psychological interventions the usefulness of acupuncture as an adjuvant therapy in rheumatoid arthritis (RA) has not yet been demonstrated. OBJECTIVE: The efficacy of auricular electroacupuncture (EA) was directly compared with autogenic training (AT). METHODS: Patients with RA (n = 44) were randomized into EA or AT groups. EA and lessons in AT were performed once weekly for 6 weeks. Primary outcome measures were the mean weekly pain intensity and the disease activity score 28 (DAS 28); secondary outcome measures were the use of pain medication, the pain disability index (PDI), the clinical global impression (CGI) and pro-inflammatory cytokine levels, which were assessed during the study period and 3 months after the end of treatment. RESULTS: At the end of the treatment and at 3-month follow-up a clinically meaningful and statistically significant improvement (p < 0.05) could be observed in all outcome parameters and both groups. In contrast to the AT group, the onset of these effects in the EA group could already be observed after the 2nd treatment week. In the 4th treatment week the EA group reported significantly less pain than the AT group (p = 0.040). After the end of treatment (7th week) the EA group assessed their outcome as significantly more improved than the AT group (p = 0.035). The erythrocyte sedimentation rate in the EA group was significantly reduced (p = 0.010), and the serum concentration of tumor necrosis factor-alpha was significantly increased compared to the AT group (p = 0.020). CONCLUSIONS: The adjuvant use of both EA and AT in the treatment of RA resulted in significant short- and long-term treatment effects. The treatment effects of auricular EA were more pronounced.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".