Temporal trends in late-onset morbidity and mortality after medulloblastoma diagnosed across three decades: A report from the Childhood Cancer Survivor Study (CCSS).
Bibliographic record
Abstract
10516 Background: Therapy for medulloblastoma and primitive neuroectodermal tumor has evolved from surgery and adjuvant radiotherapy to risk-adapted multimodal regimens. The impact of these changes in treatment on long-term outcomes remains unknown. Methods: Cumulative incidence of late mortality ( > 5 years from diagnosis), subsequent malignant neoplasms (SMN), chronic health conditions and psychosocial functioning were evaluated among 5-year survivors in CCSS diagnosed between 1970 and 1999. Survivors were stratified according to treatment decade (1970s, 1980s, 1990s) and treatment exposure (surgery + craniospinal irradiation [CSI] ≥30 Gy, no chemotherapy; surgery + CSI ≥30 Gy + chemotherapy [high-risk therapy], surgery + CSI ˂30 Gy + chemotherapy [standard-risk therapy]). Rate ratios (RRs), odds ratios (ORs) and 95% confidence intervals (CIs) were estimated for long-term outcomes among treatment eras and exposure groups using multivariable piecewise-exponential models. Results: Among 1,380 eligible survivors (median [range] age 29 [6-20] years; 21.4 [5-44] years from diagnosis), the 15-year cumulative incidence of all-cause (21.9% 1970s vs. 12.8% 1990s; p = 0.003) and recurrence-related (16.2% vs 9.6%, p = 0.03) late mortality decreased with no reduction in mortality attributable to late effects of therapy including SMN. Among 959 participants, the incidence of SMN did not decrease by era or by treatment group. However, survivors treated in the 1990s had an increased cumulative incidence of severe, life-threatening and fatal health conditions (16.9% 1970s vs 25.4% 1990s; p = 0.03), and were more likely to develop multiple severe or life-threatening health conditions, RR = 2.98 (95% CI, 1.10-8.07). Survivors of standard-risk therapy were less likely to use special education services than high-risk therapy patients, OR = 0.51 (95% CI, 0.33-0.78). Conclusions: Historical changes in therapy have improved 5-year survival, reduced risk of late mortality due to disease recurrence, and reduced special education utilization, at the cost of increased risk for multiple, severe and life-threatening chronic health conditions.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.001 | 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".