Obesity and Outcome in Pediatric Acute Lymphoblastic Leukemia
Bibliographic record
Abstract
PURPOSE: To evaluate the effect of obesity (defined as a body mass index > 95th percentile for age and sex at diagnosis) on outcome of pediatric acute lymphoblastic leukemia (ALL). PATIENTS AND METHODS: We retrospectively analyzed data from 4,260 patients with newly diagnosed ALL enrolled from 1988 to 1995 onto five concurrent Children's Cancer Group studies. Results were verified in a second cohort of 1,733 patients enrolled onto a sixth study from 1996 to 2002. RESULTS: The 1988 to 1995 cohort included 343 obese and 3,971 nonobese patients. The 5-year event-free survival rate and risk of relapse in obese versus nonobese patients were 72% +/- 2.4% v 77% +/- 0.6% (P = .02) and 26 +/- 2.4 v 20 +/- 0.6 (P = .02), respectively. After adjusting for other prognostic variables, obesity's hazard ratios (HRs) of events and relapses were 1.36 (95% CI, 1.04 to 1.77; P = .021) and 1.29 (95% CI, 1.02 to 1.56; P = .04), respectively. The effect of obesity was prominent in the 1,003 patients > or = 10 years old at diagnosis; in this subset, obesity's adjusted HRs of events and relapses were 1.5 (95% CI, 1.1 to 2.1; P = .009) and 1.5 (95% CI, 1.2 to 2.1; P = .013), respectively. In a second cohort of 1,160 patients 10 years old, obesity's adjusted HRs of events and relapses were 1.42 (95% CI, 1.03 to 1.96; P = .032) and 1.65 (95% CI, 1.13 to 2.41; P = .009), respectively. The effect of obesity on outcome was unrelated to changes in chemotherapy doses, length of intervals between chemotherapy cycles, or incidence and severity of therapy-related toxicity. CONCLUSION: Obesity at diagnosis independently predicts likelihood of relapse and cure in preteenagers and adolescents with ALL.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 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".