Health Outcomes Beyond Age 50 Years in Survivors of Childhood Cancer: A Report From the Childhood Cancer Survivor Study
Bibliographic record
Abstract
PURPOSE: There are limited data on the risk for mortality and health outcomes among the increasing population of older (age >50 years) survivors of childhood cancer during this later stage in life when there is an expected increase in aging-related morbidities. METHODS: We assessed cause-specific mortality, incident new cancers, chronic health conditions (CHCs), frailty, and health status among survivors from the Childhood Cancer Survivor Study, conditional on surviving to 50 years. We calculated conditional survival rates, standardized mortality ratios (SMRs), and, for incident new cancers, cumulative burden, standardized incidence ratios (SIRs), and relative rates (RRs), compared with the general US population. RRs for CHCs and prevalence ratios for frailty and health status outcomes were calculated for survivors compared with siblings. Piecewise exponential regression identified risk factors. RESULTS: Among 7,490 childhood cancer survivors alive at age 50 years, subsequent 5-, 10-, and 15-year mortality risks were 8%, 18%, and 32%, respectively; overall SMR was 3.2 (95% CI, 3.0 to 3.4). SMRs were highest for death due to new cancer (SMR = 4.7; 95% CI, 4.2 to 5.2). In subset analysis, survivors without radiation therapy (RT) exposure had similar new cancer rates as the general population. The population attributable fraction of new cancers to RT was 40%. Survivors had >2-fold risk of severe, life-threatening, or fatal CHCs (any: RR, 2.6 [95% CI, 2.2 to 3.1]; multiple: RR, 3.3 [95% CI, 2.5 to 4.4]), specifically among survivors with history of RT exposure, compared with siblings. We identified no associations between chemotherapy and late health outcomes. CONCLUSION: Older survivors of childhood cancer continue to have an elevated burden of premature mortality, new cancers, and adverse health outcomes as they age. The increased risk for cancer and CHCs among these older survivors is associated with RT, but not chemotherapy, exposure.
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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 | 0.000 |
| 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".