A Comparison of Late Mortality Among Survivors of Childhood Cancer in the United States and United Kingdom
Bibliographic record
Abstract
BACKGROUND: It is unclear whether late-effect risks among childhood cancer survivors vary internationally. We compared late mortality in the North American Childhood Cancer Survivor Study (CCSS) and British Childhood Cancer Survivor Study (BCCSS). METHODS: Late mortality was assessed among 49 822 5-year survivors of childhood cancer diagnosed before 15 years of age from 1970 to 1999 (CCSS, n = 31 596; BCCSS, n = 18 226) using cumulative mortality probabilities (CM%) and adjusted ratios of the standardized mortality ratio. RESULTS: The all-cause CM% at 10 years from diagnosis was statistically significantly lower in the CCSS (4.7%, 95% confidence interval [CI] = 4.5% to 5.0%) compared with the BCCSS (6.9%, 95% CI = 6.5% to 7.2%), attributable to a lower probability of death from recurrence or progression of the primary cancer, with statistically significant differences observed in survivors of leukemia, lymphoma, central nervous system tumors, and sarcoma. However, at 40 years from diagnosis, the CCSS had a greater CM% (22.3% vs 19.3%), attributable to a twofold higher risk of mortality from subsequent malignant neoplasms, cardiac and respiratory diseases, and other health-related causes. Differences increased when assessed by follow-up interval, with the CCSS faring worse as time-since-diagnosis increased. Finally, the gap in all-cause mortality widened more recently, with CCSS survivors diagnosed in 1990-1999 experiencing one-half the excess deaths observed in the BCCSS (ratios of the standardized mortality ratio = 0.5, 95% CI = 0.5 to 0.6). CONCLUSIONS: Our findings suggest that US survivors may have received more intensive regimens to achieve sustainable remission and cure, but the cost of this approach was a higher risk of death from late effects. Although the clinical impact of these differences is unclear, our results provide important evidence to aid the discussion of late effects management.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".