Nighttime compression supports improved self‐management of breast cancer–related lymphedema: A multicenter randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Lymphedema is a prevalent long-term effect of breast cancer treatment associated with reduced quality of life. This study examined the efficacy of nighttime compression as a self-management strategy for women with chronic breast cancer-related lymphedema. METHODS: Th authors conducted a parallel 3-arm, multicenter, randomized trial. Women were recruited from 3 centers in Canada and randomized to group 1 (daytime compression garment alone [standard care]), group 2 (daytime compression garment plus nighttime compression bandaging), or group 3 (daytime compression garment plus the use of a nighttime compression system garment). The primary outcome was the change in excess arm volume from the baseline to 12 weeks. Participants from all groups used a nighttime compression system garment from weeks 13 to 24. RESULTS: One hundred twenty women were enrolled, 118 completed the randomized trial, and 114 completed the 24-week follow-up. The rates of adherence to nighttime compression were 95% ± 15% and 96% ± 11% in the compression bandaging and nighttime compression system groups, respectively. After the intervention, the addition of nighttime compression was found to be superior to standard care for both absolute milliliter reductions (P = .006) and percentage reductions (P = .002) in excess arm lymphedema volume. Significant within-group changes were seen for quality of life across all groups; however, no between-group differences were found (P > .05). CONCLUSIONS: The trial demonstrated a significant improvement in arm lymphedema volume from the addition of nighttime compression whether through the application of compression bandaging or through the use of a nighttime compression system garment. LAY SUMMARY: Lymphedema is swelling that occurs in the arm on the side of the surgery for breast cancer. Lymphedema occurs in approximately 21% of women. Lymphedema tends to worsen over time and can result in recurrent infections in the arm, functional impairment, and pain. Currently, treatment consists of intensive treatments to reduce the swelling followed by regular use of a compression sleeve during the day. This study examined and found a benefit from the addition of nighttime compression (whether through self-applied compression bandaging or through the use of a nighttime compression system garment) to the use of a daytime compression sleeve.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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) | 0.003 | 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".