The impact of age and race on longevity in pediatric astrocytic tumors: A population‐based study
Bibliographic record
Abstract
OBJECTIVE: Despite improvements in pediatric brain tumor outcomes, the survivors of childhood brain tumor are burdened by multiple comorbidities. This work reports on the relative survival ratios and excess mortality rate in children with astrocytic tumors over the past four decades. METHODS: Survival analysis was conducted using flexible parametric model to estimate relative survival and excess mortality rate for non-white and white children (0-19 years old) using the Surveillance, Epidemiology & End Results (SEER) database. We incorporated age group and year of diagnosis into the model to estimate these indices for the period of 1973-2010. RESULTS: Progressive decline in relative survival ratios was noted over time. Non-white children had lower survival rates than white children, and these survival patterns persisted over the four-decade span of the study. Fifty percent of non-white survivors were deceased 30 years post diagnosis, compared to 35 years in white survivors. CONCLUSIONS: Survivors of childhood brain tumors have progressively lower survival rates as they get older, and this is higher in non-white when compared to white children. Future research efforts need to focus on understanding the factors mediating the effect of the tumor or its treatment on survival in these patients, and the ethnic variations that derive these survival trends.
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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 | 0.001 |
| 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 | 0.000 |
| 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 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".