Overweight or Obesity and Outcomes in Children With Acute Lymphoblastic Leukemia
Bibliographic record
Abstract
Importance: There are conflicting data on the association of overweight or obesity with clinical outcomes in childhood acute lymphoblastic leukemia (ALL). The duration of exposure to overweight or obesity may be a better indicator of the risk of poorer outcomes. Objective: To determine the association of the duration of overweight or obesity with treatment-related toxic effects, minimal residual disease, relapse, and survival in childhood ALL. Design, Setting, and Participants: In this prospective cohort study, fluctuations in z scores of body mass index (BMI) for age from diagnosis to the end of treatment (EOT) were examined in 794 children registered on a Dana Farber Cancer Institute ALL Consortium protocol from May 31, 2005, to December 15, 2011. Height and weight were abstracted from the medical record for classification of BMI z scores at diagnosis through EOT and into survivorship. Data were analyzed from July 1 to 31, 2024. Main Outcomes and Measures: The duration of overweight or obesity was defined as having overweight or obesity at 2 or more time points and compared with having overweight or obesity at no more than 1 time point. Kaplan-Meier survival curves were generated to examine association of overweight or obesity with overall survival (OS), event-free survival (EFS), and cumulative incidence of relapse. Results: Among the 794 patients included in the analysis, the mean age at diagnosis was 6.7 (range, 1.0-17.9) years, with 441 (55.5%) being male, 136 (17.1%) Hispanic, and 553 (69.6%) non-Hispanic. The prevalence of overweight or obesity increased from 234 of 793 (29.5%) at diagnosis to 346 of 715 (48.4%) by EOT. Having overweight or obesity at baseline or developing overweight or obesity during induction was not associated with treatment-related toxic effects or higher minimal residual disease. Children with overweight or obesity at 2 or more time points experienced inferior OS (3-year OS, 93.8% vs 98.0%; P = .01), increased relapse (3-year relapse rate, 10.5% vs 5.8%; P = .02), and lower EFS (3-year EFS, 89.0% vs 93.7%; P = .02), compared with children with overweight or obesity at no more than 1 time point. Multivariable Cox proportional hazards regression models revealed an association between increased risk of death (hazard ratio [HR], 3.49; 95% CI, 1.28-9.51; P = .01) and relapse (HR, 1.92; 95% CI, 1.07-3.46; P = .03) among children with overweight or obesity at 2 or more time points. Conclusions and Relevance: In this prospective cohort study of children with ALL, longer duration of overweight or obesity was associated with lower OS and EFS and higher rates of relapse, underscoring the need for interventions targeting overweight or obesity during treatment of children with ALL.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".