Twenty‐five year follow‐up of childhood Wilms tumor: A report from the Childhood Cancer Survivor Study
Bibliographic record
Abstract
BACKGROUND: Treatment cures over 90% of children with Wilms tumor (WT) who subsequently risk late morbidity and mortality. This study describes the 25-year outcomes of 5-year WT survivors in the Childhood Cancer Survivor Study (CCSS). PROCEDURE: The CCSS, a multi-institutional retrospective cohort study, assessed WT survivors (N = 1,256), diagnosed 1970-1986, for chronic health conditions, health status, health care utilization, socioeconomic status, subsequent malignant neoplasms (SMNs), and mortality compared to the US population and a sibling cohort (N = 4,023). RESULTS: The cumulative incidence of all and severe chronic health conditions was 65.4% and 24.2% at 25 years. Hazard ratios (HR) were 2.0, 95% confidence interval (CI) 1.8-2.3 for grades 1-4 and 4.7, 95%CI 3.6-6.1 for grades 3 and 4, compared to sibling group. WT survivors reported more adverse general health status than the sibling group (prevalence ratio [PR] 1.7; 95%CI 1.2-2.4), but mental health status, socioeconomic outcome, and health care utilization were similar. The cumulative incidence of SMN was 3.0% (95%CI 1.9-4.0%) and of mortality was 6.1% (95%CI 4.7-7.4%). Radiation exposure increased the likelihood of congestive heart failure (CHF) (no doxorubicin-HR 6.6; 95%CI 1.6-28.3; doxorubicin ≤ 250 mg/m(2) -HR 13.0; 95%CI 1.9-89.7; doxorubicin >250 mg/m(2) -HR 18.3; 95%CI 3.8-88.2), SMN (standardized incidence ratio [SIR] 9.0; 95%CI 3.9-17.7 with and 4.9; 95%CI 1.8-10.6 without doxorubicin) and death. CONCLUSION: Long-term survivors of WT treated from 1970 to 1986 are at increased risk of treatment related morbidity and mortality 25 years from diagnosis.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".