Effects of Warm Acupuncture on Breast Cancer–Related Chronic Lymphedema: A Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Effective treatment for breast cancer-related chronic lymphedema (bcrl) remains a clinical challenge. Acupuncture and moxibustion treatments have been shown to be beneficial and safe for treating bcrl. In the present randomized controlled trial, we compared the effectiveness of combined acupuncture and moxibustion ("warm acupuncture") with that of diosmin in bcrl. METHODS: Breast cancer patients who met the inclusion and exclusion criteria (n = 30) were randomized to experimental and control groups (15 per group). On alternate days, patients in the experimental group received 30 minutes of acupuncture at 6 acupoints, with 3 of the needles each being topped by a 3-cm moxa stick. The control treatment was diosmin 900 mg 3 times daily. The control and experimental treatments were administered for 30 days. Outcome measures included arm circumferences (index of effectiveness), range of motion [rom (shoulder joint function)], quality of life, clinical safety, and adverse events. RESULTS: Measured by the index of effectiveness, bcrl improved by 51.46% in the experimental group and by 26.27% in the control group (p < 0.00001). Effects were greatest at 10 cm above the elbow and at the wrist, where the warm needling was provided. Impairments in shoulder joint rom were minimal at baseline in both treatment groups. However, the roms of rear protraction, abduction, intorsion, and extorsion in the experimental group improved significantly; they did not change in the control group. Self-reported quality of life was significantly better with warm acupuncture than with diosmin. No adverse effects were reported during the treatment period, and laboratory examinations for clinical safety fell within the normal ranges. CONCLUSIONS: Compared with diosmin, warm acupuncture treatment can effectively reduce the degree of bcrl at the specific acupoints treated and can promote quality of life. Warm acupuncture showed good clinical safety, without any adverse effects on blood or the cardiovascular system.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".