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Record W4412510230 · doi:10.1186/s12885-025-14298-3

Enhancing treatment outcomes after gynaecological cancer (ACUMEN): a randomised controlled exercise trial protocol

2025· article· en· W4412510230 on OpenAlexaff
Vivian Chiu, Alexander N. Boytar, Brent Cunningham, Tina Skinner, Jane Turner, Debra Anderson, Asaduzzaman Khan, Tom G. Bailey, Janine Porter‐Steele, Leonie S. Young, Haitham Tuffaha, Lewis Perrin, Andrea Garrett, Jeffrey C. Goh, Grace Rose, Briana K. Clifford, Sjaan R. Gomersall, Darren Korbie, Nicolas Constantin, Jackie Li, Alexandra McCarthy

Bibliographic record

VenueBMC Cancer · 2025
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsYork UniversityUniversity of Toronto
FundersMedical Research Future Fund
KeywordsMedicineSurgical oncologyRandomized controlled trialProtocol (science)Physical therapyGerontologyAlternative medicineOncologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Treatment for gynaecological cancer often entails challenges that negatively affect quality-of-life. While exercise has been shown to improve physical and psychosocial well-being during cancer recovery, affected women often avoid exercise due to the specific health challenges they face after treatment. The Enhancing treatment outcomes after gynaecological cancer (ACUMEN) program aims to enhance health-related quality of life in this group by promoting lifelong exercise habits. METHODS: The ACUMEN trial is a single-blind, multi-centre randomised controlled trial that evaluates the impact of a structured exercise intervention on quality of life in women who have completed primary treatment for gynaecological cancer within the last 60 months. A total of 342 participants will be randomly assigned to either usual care or an intervention group. The intervention involves a 12-week personalised exercise program, where participants will complete three 1-h exercise sessions per week. During the first six weeks, participants will receive two supervised sessions with accredited exercise physiologists or physiotherapists and self-manage one session per week. In the following six weeks, this shifts to one supervised session and two self-managed sessions weekly, with goal of fostering sustainable, self-managed exercise habits. Assessments will take place at baseline, Week 12 (end of intervention), and Week 24 (end of maintenance). The primary outcome is health-related quality of life, measured by the Short Form-36. Secondary outcomes include exercise self-efficacy, body composition, symptoms of lymphoedema, physical fitness, biological markers, and habitual physical activity levels. For intervention group participants assigned accredited exercise physiologists or physiotherapists will track attendance, adherence, feasibility, and safety. DISCUSSION: The ACUMEN trial will evaluate whether a structured exercise program improves health-related quality of life in women recovering from gynaecological cancer treatment. The findings will help determine if the intervention is effective and sustainable, with a simultaneous cost-effectiveness analysis conducted to assess its value for money. Results from this study could inform future exercise-based interventions to enhance cancer recovery. TRIAL REGISTRATION: Australian New Zealand Clinical Trial Registry (ACTRN12621000050853, registered 19/01/2021).

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)0.021
metaresearch head score (Gemma)0.017
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: Protocol · Consensus signal: Protocol
Teacher disagreement score0.072
Threshold uncertainty score0.242

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.017
Meta-epidemiology (narrow)0.0070.003
Meta-epidemiology (broad)0.0120.005
Bibliometrics0.0030.003
Science and technology studies0.0030.004
Scholarly communication0.0030.003
Open science0.0040.002
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.0720.010

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 head0.023
GPT teacher head0.361
Teacher spread0.338 · 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
GenreProtocol

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

Citations0
Published2025
Admission routes1
Has abstractyes

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