A longitudinal multidimensional rehabilitation program for patients undergoing allogeneic blood and marrow transplantation (CaRE-4-alloBMT): Protocol for a phase II feasibility pilot randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Allogeneic blood and marrow transplantation (alloBMT) is a curative treatment for blood cancers associated with various treatment-related adverse events and morbidities. Current rehabilitation programs are limited for patients undergoing alloBMT and research is urgently needed to test the acceptability and effectiveness of these programs. In response, we developed a 6-month multidimensional longitudinal rehabilitation program that spans from pre transplant to 3 months post transplant discharge (CaRE-4-alloBMT). METHODS: This study is a phase II randomized controlled trial (RCT) conducted at the Princess Margaret Cancer Centre in patients undergoing alloBMT. A total of 80 patients stratified by frailty score will be randomized to receive usual care (n = 40) or CaRE-4-alloBMT plus usual care (n = 40). The CaRE-4-alloBMT program includes individualized exercise prescriptions, access to online education through a dedicated self-management platform, wearable technology for remote monitoring, and remote tailored clinical support. Feasibility will be assessed by examining the recruitment and retention rates and adherence to the intervention. Safety events will be monitored. Acceptability of the intervention will be assessed through qualitative interviews. Secondary clinical outcomes will be collected through questionnaires and physiological assessments at baseline (T0, 2-6 weeks pre-transplant), transplant hospital admission (T1), hospital discharge (T2), and 3 months post-discharge (T3). CONCLUSION: This pilot RCT study will determine the feasibility and acceptability of the intervention and study design and will inform full-scale RCT planning.
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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 | 0.035 | 0.023 |
| Meta-epidemiology (narrow) | 0.006 | 0.003 |
| Meta-epidemiology (broad) | 0.010 | 0.005 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.053 | 0.009 |
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".