Impairment of health‐related quality of life for children with acute lymphoblastic leukemia over the first year of therapy: A report from the DFCI ALL Consortium
Bibliographic record
Abstract
BACKGROUND: Children treated for acute lymphoblastic leukemia (ALL) receive prolonged treatment, resulting in toxicities that affect health-related quality of life (HR-QoL). Longitudinal assessment of HR-QoL allows improved understanding of experiences with ALL. PROCEDURE: Parent-proxy and child self-report HR-QoL over the first year of chemotherapy were evaluated in the context of DFCI Protocol 05-001, a phase 3 therapeutic trial for childhood ALL. HR-QoL was assessed with the Pediatric Quality-of-Life inventory (PedsQL) domains for Pain and Hurt, Procedural Anxiety, Treatment Anxiety, Emotional Functioning, General Fatigue, and Sleep/Rest Fatigue. RESULTS: Total of 281 subjects participated, with 141 contributing at least one child report and 280 at least one parent report. Children with ALL experienced impairment in HR-QoL by both patient and parent report compared to the published PedsQL reference population at each time point on each subscale. Agreement between parent and child assessment of HR-QoL impairment was high, particularly among those for whom HR-QoL was not impaired. During the consolidation phase, which included intensive asparaginase administration, multivariable models demonstrated more impairment in Treatment Anxiety and Procedural Anxiety for children treated with intramuscular asparaginase than intravenous asparaginase, but randomized groups were otherwise similar in HR-QoL. Impairments in fatigue, both General and Sleep/Rest, were evident throughout and worse during intensive asparaginase therapy. CONCLUSIONS: This report examines HR-QoL for children with ALL during treatment longitudinally by parent and patient report across multiple domains. Children with ALL demonstrated substantial impairment in HR-QoL, particularly related to fatigue during intensive consolidation therapy including asparaginase.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".