Enhancing treatment outcomes after gynaecological cancer (ACUMEN): a randomised controlled exercise trial protocol
Bibliographic record
Abstract
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 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) | 0.008 | 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".