Comparing late mortality risks among childhood cancer survivors: A report from the Childhood Cancer Survivor Study and British Childhood Cancer Survivor Study.
Bibliographic record
Abstract
10017 Background: It is unclear whether late-effect risks are comparable across international settings. We compared late mortality risks in the Childhood Cancer Survivor Study (CCSS) and British Childhood Cancer Survivor Study (BCCSS). Methods: 46,474 5-year survivors of childhood cancer diagnosed from 1970-1999 and < 15 years age were included: 28,248 from the CCSS and 18,226 from the BCCSS. Late mortality (death ≥5 years from diagnosis) was assessed by linking to national vital statistics records. Adjusted ratios of the standardized mortality ratio (RSMR) and cumulative mortality probabilities were used to compare risks between cohorts. Treatment exposures were not available for the BCCSS, precluding comparison. Results: The cumulative all-cause mortality at 10 years from diagnosis was significantly lower in the CCSS (4.8%;95%CI:4.6%-5.0%) compared to the BCCSS (6.9%;95%CI:6.5%-7.2%); this was due to a lower probability of death from recurrence/progression of the primary cancer (CCSS = 3.3% vs. BCCSS = 5.8%), with significant differences observed in survivors of leukemia (7.9% vs 4.0%), Hodgkin lymphoma (2.5% vs 1.3%), CNS tumors (6.4% vs 4.4%), and sarcoma (6.5% vs 4.0%). However, with increasing time from diagnosis, risks became more similar. The CCSS ultimately had a greater cumulative mortality at 40 years from diagnosis, attributable to a 2-fold higher mortality from subsequent neoplasms (SNs) (RSMR:2.0;95%CI:1.8-2.3), cardiac (RSMR:1.7;95%CI:1.4-2.3) and pulmonary (RSMR:1.9;95%CI:1.4-2.5) causes, and other health-related deaths (RSMR:2.4;95%CI:2.1-2.9). When assessed by follow-up interval, the differences between the CCSS and BCCSS increased significantly for deaths due to SNs, cardiac and pulmonary causes, and other health-related deaths as time increased. Among those diagnosed more recently, the gap in all-cause mortality widened, with CCSS survivors diagnosed 1990-1999 experiencing approximately half the excess (RSMR:0.5;95%CI:0.5-0.6) observed in the BCCSS; this widening was driven by declines in the RSMR for most non-recurrence/progression causes of death. Conclusions: Our findings suggest that North American survivors may have received more intensive regimens during this time period to achieve sustainable remission and cure. However, the cost of this approach was a higher risk of death from late-effects. Which approach confers a net survival advantage will depend critically on the magnitude of the excess risk of late-effect deaths as the cohorts age.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".