Early deaths in pediatric acute leukemia: a population-based study
Bibliographic record
Abstract
The purpose was to describe the incidence and risk factors associated with early deaths (≤ 42 days from diagnosis) among children with acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML) in Ontario, Canada. The data source for this population-based, retrospective cohort study was the Pediatric Oncology Group of Ontario Networked Information System (POGONIS). Patients with acute leukemia aged ≤ 18 years diagnosed between 1990 and 2010 were included. The study population consisted of 1954 children with ALL and 403 with AML. The early death rate was 40/2357 (1.7%), with 1.1% of patients with ALL and 4.7% of patients with AML dying early. Among all 442 deaths recorded, 9.0% occurred early. Twelve/40 (30.0%) early deaths were attributed to infection. Factors associated with early deaths were AML (p < 0.0001) and age ≥ 10 years at diagnosis (p = 0.038). Future interventions to improve survival may consider focusing on the early treatment period and may target AML and older patients.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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; both teacher heads agree on what is shown here.
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".