Effect of myofascial techniques for treatment of persistent arm pain after breast cancer treatment: randomized controlled trial
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: To investigate the effect of myofascial therapy in addition to a standard physical therapy program for treatment of persistent arm pain after finishing breast cancer treatment. DESIGN: Double-blinded (patient and assessor) randomized controlled trial. SETTING: University Hospitals Leuven, Belgium. PATIENTS: A total of 50 patients with persistent arm pain and myofascial dysfunctions after breast cancer treatment. INTERVENTION: Over three months, all patients received a standard physical therapy program. The intervention group received in addition 12 sessions of myofascial therapy, and the control group received 12 sessions of placebo therapy. MAIN MEASUREMENTS: ) and pain quality (McGill Pain Questionnaire). Measures were taken before and after the intervention and at long term (6 and 12 months follow-up). RESULTS: Patients in the intervention group had a significantly greater decrease in pain intensity compared to the control group (VAS -44/100 vs. -24/100, P = 0.046) with a mean difference in change after three months between groups of 20/100 (95% confidence interval, 0.4 to 39.7). After the intervention, 44% versus 64% of patients still experienced pain in the intervention and control group, respectively ( P = 0.246). No significant differences were found for the other outcomes. CONCLUSION: Myofascial therapy is an effective physical therapy modality to decrease pain intensity at the arm in breast cancer survivors at three months, but no other benefits at that time were found. There were no long-term effects at 12 months either.
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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 | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it