Lung Cancer as a Subsequent Malignant Neoplasm in Survivors of Childhood Cancer
Bibliographic record
Abstract
BACKGROUND: Lung cancer, the most common cause of cancer-related death in adults, has not been well studied as a subsequent malignant neoplasm (SMN) in childhood cancer survivors. We assessed prevalence, risk factors, and outcomes for lung SMN in the Childhood Cancer Survivor Study (CCSS) cohort. METHODS: Among 25,654 5-year survivors diagnosed with childhood cancer (<21 years), lung cancer was self-reported and confirmed by pathology record review. Standardized incidence ratios (SIR) and cumulative incidences were calculated, comparing survivors to the general population, and hazard ratios (HR) were estimated using Cox regression for diagnosis and treatment exposures. RESULTS: < 0.001). Survivors of Hodgkin lymphoma (SIR, 9.3; 95% CI, 6.2-13.4) and bone cancer (SIR, 4.4; 95% CI, 1.8-9.1) were at greatest risk for lung SMN. CONCLUSIONS: Survivors of childhood cancer are at increased risk for lung cancer compared with the general population. Greatest risk was observed among survivors who received chest radiotherapy or with primary diagnoses of Hodgkin lymphoma or bone cancer. IMPACT: This study describes the largest number of observed lung cancers in childhood cancer survivors and elucidates need for further study in this aging and growing population.
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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 | 0.002 |
| 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".