Association between obesity at diagnosis and weight change during induction and survival in pediatric acute lymphoblastic leukemia
Bibliographic record
Abstract
For children with acute lymphoblastic leukemia (ALL), the impact of obesity at diagnosis and weight change during induction on survival is uncertain. Objectives of this study were to describe the relationship between obesity and weight change during induction and event-free survival (EFS) and overall survival (OS). Participants were children 2-18 years old with ALL diagnosed between January 2001 and September 2006. Univariate and multiple regression analyses were conducted. In total 238 children were included; 21 (8.8%) were obese at diagnosis. Obese patients, compared with non-obese patients, had lower 5-year EFS (62.2±12.1% vs. 83.6±2.6%; p =0.02) and OS (80.7±8.7% vs. 92.9±1.9%; p =0.005). In univariate analysis, weight gain during induction was associated with better EFS (hazard ratio [HR] =0.89, 95% confidence interval [CI] 0.82-0.97; p =0.009) and OS (HR =0.81, 95% CI 0.74-0.90; p <0.0001). Obese pediatric patients with ALL have inferior survival while increased weight during induction may be associated with better survival. Causes of weight loss during induction should be aggressively managed.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".