The CADENCE pilot trial – Promoting physical activity in bladder cancer survivors: A protocol paper
Bibliographic record
Abstract
BACKGROUND: Participation in physical activity has been found to be beneficial for mental and physical health outcomes among cancer survivors. However, to date no intervention exists specifically to promote physical activity among bladder cancer survivors. In light of this knowledge a home-based exercise intervention was co-created for those recently diagnosed with bladder cancer. AIM: The aim of the present study, financially supported by Action Bladder Cancer UK [1], is to pilot the home-based exercise intervention tailored specifically for bladder cancer survivors (i.e. from the point of diagnosis) to improve physical and mental health outcomes (during treatment and beyond) in this population. METHODS: This study will use a randomised controlled trial design. Arm one will consists of the 14 week home-based exercise intervention and arm two usual care (15 participants will be randomised to each arm). Baseline data collection will take place shortly after clinical diagnosis of bladder cancer, and follow-up approximately 7 weeks and then again approximately 14 weeks after commencement of the intervention. At each data collection point data will be collected from participants relating to demographics, physical and mental health. Participants will aslo be asked to wear an Actigraph Accelerometer at each data collection point for seven consecutive days. Immediately after baseline data collection participants in the intervention arm will be given the home-based exercise booklet. ETHICS AND DISSEMINATION: Ethical approval was obtained for the present study via The London- City and East Research Ethics Committee (ID:291676). Results of this study will be disseminated through peer-reviewed publications and scientific presentations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.020 | 0.024 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.076 | 0.012 |
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 source (direct Gemma or distilled Codex), 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".