A phase 2 study of a longitudinal multidimensional rehabilitation program for allogeneic blood and marrow transplantation patients
Bibliographic record
Abstract
ABSTRACT: Allogeneic blood and marrow transplantation (alloBMT) is a curative treatment for blood cancers associated with various treatment-related adverse events and morbidities for which rehabilitation programs are currently limited. A phase 2 randomized controlled trial (RCT) was conducted to assess the feasibility, acceptability, and impact of CaRE-4-alloBMT, a longitudinal, multidimensional cancer rehabilitation program for patients undergoing alloBMT. The primary outcomes included the feasibility and acceptability of the intervention and the methods. Feasibility was assessed through recruitment, retention, and adherence rates. Acceptability was assessed through qualitative interviews. Secondary clinical outcomes were collected through questionnaires and physiological assessments at 4 time points. A total of 80 participants were recruited and randomized. Recruitment (72%) and retention (70%) rates, along with qualitative findings, support the feasibility of the intervention. Adherence was suboptimal, most notably educational module completion (22.7%). Treatment effect sizes of 0.70 (95% confidence interval [CI], 0.20-1.21; 30-second sit-to-stand test) and 0.46 (95% CI, -0.17 to 1.09; 36-Item Short Form Survey) were observed in favor of the intervention. The results appear promising; however, the findings are limited by missing data owing to attrition. Modifications will be required to refine the program and inform a phase 3 RCT. This trial was registered at www.ClinicalTrials.gov as #NCT04966156.
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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 | 0.011 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
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".