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Record W3202101007 · doi:10.1002/cncr.33943

Nighttime compression supports improved self‐management of breast cancer–related lymphedema: A multicenter randomized controlled trial

2021· article· en· W3202101007 on OpenAlexafffundabout
Margaret L. McNeely, Naomi Dolgoy, Bolette Skjødt Rafn, Sunita Ghosh, Paula A. Ospina, Mona M. Al Onazi, Lori Radke, Mara Shular, Urve Kuusk, Marc Webster, Kristin L. Campbell, John R. Mackey

Bibliographic record

VenueCancer · 2021
Typearticle
Languageen
FieldMedicine
TopicLymphatic System and Diseases
Canadian institutionsUniversity of AlbertaUniversity of British ColumbiaAlberta Health Services
FundersCanadian Institutes of Health Research
KeywordsMedicineLymphedemaRandomized controlled trialBreast cancerCancerSurgeryOncologyInternal medicine

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.006
GPT teacher head0.281
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations35
Published2021
Admission routes3
Has abstractyes

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