Cumulative burden of chronic health conditions among adolescent and young adult survivors of childhood cancer: Identification of vulnerable groups at key medical transitions
Bibliographic record
Abstract
The cumulative burden of chronic health conditions as childhood cancer survivors transition to adult health care and insurance systems is unknown. We estimated the cumulative burden (N = 4612 survivors, 625 controls) in the St. Jude Lifetime Cohort. At 18 and 26 years old, survivors experienced (per 100 individuals) an average of 22.3 (95% confidence interval [CI]: 17.2-27.4) and 40.3 (95% CI: 34.8-45.8) disabling conditions versus 3.5 (95% CI: 2.0-5.0) and 5.7 (95% CI: 3.7-7.7) in controls, and 128.7 (95% CI: 119.5-137.8) and 240.5 (95% CI: 229.9-251.0) lower severity conditions versus 12.4 (95% CI: 8.9-16.0) and 51.3 (95% CI: 43.1-59.4) in controls. Survivors experience a high cumulative burden at key health care transition ages, underscoring the need to optimize access to care.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 teacher head, 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".