Mortality after colorectal cancer among survivors of childhood cancer
Bibliographic record
Abstract
Mortality after diagnosis of colorectal subsequent malignant neoplasms (CRC-SMN) among childhood cancer survivors is understudied. Using data from the Childhood Cancer Survivor Study (CCSS) and the Surveillance, Epidemiology, and End Results (SEER) program, we compared all-cause mortality of survivors with CRC-SMN with survivors without CRC-SMN and CRC patients in the general population without a childhood cancer history. Among 25 656 childhood cancer survivors, 96 developed CRC-SMN, with 50% diagnosed before age 40 years and 19% before age 30 years. Of those diagnosed before age 40 years, 35% had no prior abdominal- or pelvic-directed radiation therapy. The cumulative incidence of CRC-SMN in CCSS survivors was 0.7% (95% CI = 0.5% to 0.9%) by age 45 years and 1.1% (95% CI = 0.8% to 1.4%) by age 50 years. There were 31 deaths after CRC-SMN. Adjusted all-cause mortality was threefold higher (hazard ratio [HR] = 3.34, 95% CI = 2.25 to 4.59) than for survivors without CRC and statistically significantly higher for survivors diagnosed younger than age 30 years compared with SEER CRC patients (HR = 2.51, 95% CI = 1.29 to 4.89).
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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 | 0.002 |
| 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".