Pediatric Early Rehabilitation in ACute Lymphoblastic LEukemia (PEACE): A Proof-of-Concept Study of an Enhanced Hybrid Delivery Format (Trial Protocol)
Bibliographic record
Abstract
Background: Children with acute lymphoblastic leukemia (ALL) frequently experience neuromuscular and musculoskeletal treatment-related side effects amenable to physiotherapy (PT). While PT can help manage these side effects, families report barriers to accessing supportive care services for their children. Telehealth-based exercise interventions involving children with cancer have been shown to be feasible, with the potential of a positive impact on physical function outcomes. In this study, we will investigate the feasibility of a hybrid (in-person and virtual) PT program to address functional deficits from chemotherapy treatment. Methods: We will conduct a single-group prospective proof-of-concept, before and after intervention study with 10 children who are undergoing or have completed ALL chemotherapy treatment. Children between the ages of 4 and 17 years will participate in a hybrid 12-week PT program, comprising 6 PT sessions over a 3-month period focusing on identified functional goals. Families will have the option to choose the mode(s) of delivery (virtual and/or in-person), as needed. The program has additional components to standard care available on a web-based platform, including 3 educational videos on the common side effects of oncological treatment, as well as resources to support physical activity and movement recommendations. The primary outcome is feasibility, defined as the number of children completing the intervention and clinical assessment follow-ups. We will also examine recruitment rates, program acceptability, safety, and record completion rates of clinical measures of quality of life, ankle range of motion, motor and sensory function, gross motor function, functional capacity, activity level, balance, pain, foot posture, and floor to stand. Data will be collected at baseline and at 3-month follow-up.
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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 | 0.009 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".