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The effect of exercise on physical function and medication adherence in women receiving endocrine therapy for breast cancer: The breast cancer endocrine therapy fitness (BE-FIT) randomized controlled trial.

2023· article· en· W4379281197 on OpenAlexafffund
Samantha Myers, Nathalie LeVasseur, Kelly Mackenzie, Rafael A. Fujita, Guy Faulkner, Jonathan Berkowitz, Robert Olson, Linda Trinh, Kristin L. Campbell

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversity of TorontoBC Cancer AgencyUniversity of British Columbia
FundersBC Cancer Foundation
KeywordsMedicineBreast cancerRandomized controlled trialPhysical therapyAerobic exerciseCancerRegimenInternal medicine

Abstract

fetched live from OpenAlex

12069 Background: Approximately 20% of women receiving endocrine therapy (ET) for early-stage breast cancer (BrCa) discontinue their regimen due to side effects, including vasomotor symptoms and arthralgias, subjecting them to higher rates of disease recurrence. Exercise is one approach to mitigate ET-related toxicity and potentially improve medication adherence by mitigating ET-related symptoms. However, only 11% of women with BrCa adhere to recommended exercise guidelines. Purpose: To examine the effect of a virtual supervised exercise program for women receiving ET for early-stage BrCa on physical function (PF) (primary outcome) and adherence to ET (secondary outcome). Methods: Participants were recruited through referral by oncology care providers from multiple BC Cancer sites and self-referral. Eligible participants were: females with stage I-III BrCa being treated with curative intent, 19-75 years, taking ET for at least 3 months up to 3 years. Using a partial cross-over design (NCT04824339), participants were randomized to the immediate exercise group (INT) or the delayed exercise group (CON), which crossed over at 8 weeks. The 8-week intervention was comprised of a 50-minute resistance exercise circuit, delivered virtually by an exercise physiologist twice per week via Zoom, and self-directed aerobic exercise (progressing to 90 minutes or more per week of at least moderate intensity). PF was assessed using the 30-second chair stand test. ET adherence was measured by the Voils self-reported medication non-adherence questionnaire. Values reported as means and standard deviations. The difference at 8 weeks by intervention arm was examined using two sample t-test (continuous) or kappa measure of agreement (categorical). Results: A total of 132 women were randomized. On average, women were 54 years, White (European) (47%), married (64%), had at least a bachelor’s degree or higher (51%), and had a body mass index of 27.7 kg/m2. The most common type of ET women received was Letrozole (43%), followed by Tamoxifen (36%). At 8 weeks, there was a significant improvement in PF for INT versus CON (mean change +2.5±2.9 vs. +0.7±2.2 stands, p< 0.001). There was no difference between groups in change in medication adherence status (k = 0.35). Conclusions: An 8-week virtual supervised exercise program for women receiving ET for early-stage BrCa significantly improved PF but did not change medication adherence at 8 weeks. The potential impact of the intervention on long-term medication adherence will be explored up to one year and with covariates. Based on improvement in PF, future trials to establish effectiveness and inform implementation are warranted. Clinical trial information: NCT04824339 .

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)0.001
metaresearch head score (Gemma)0.002
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 score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.052
GPT teacher head0.437
Teacher spread0.385 · 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

Citations2
Published2023
Admission routes2
Has abstractyes

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