Adverse mental health outcomes in a population‐based cohort of survivors of childhood cancer
Bibliographic record
Abstract
BACKGROUND: The elevated risk for physical late effects in childhood cancer survivors (CCS) is well documented, but their risk for mental health problems is less well described. METHODS: The authors assembled a cohort of all 5-year CCS who were diagnosed before age 18 years and treated in an Ontario pediatric cancer center between 1987 and 2008. Patients were matched to population controls and linked to health administration databases. The authors calculated rates of mental health care visits (family physician, psychiatrist, emergency department, hospitalization) and the risk for a severe mental health event (emergency department, hospitalization, suicide). Outcomes were compared using recurrent event and survival analyses. RESULTS: Compared with 20,269 controls, 4117 CCS had a higher rate of mental health visits (adjusted relative rate [RR], 1.34; 95% confidence interval [CI], 1.12-1.52). Higher rates were associated with female gender (RR, 1.39; CI, 1.10-1.75; P = .006) and being diagnosed at ages 15 to 17.9 years (compared with ages 0-4 years: RR, 1.81; 95% CI, 1.17-2.80; P = .008). Cancer type, treatment intensity, and treatments targeting the central nervous system were not significant predictors. Survivors were at increased risk for a severe event compared with controls (adjusted hazard ratio, 1.13; 95% CI, 1.00-1.28; P = .045). CCS who were diagnosed with cancer at age 4 years or younger were at greatest risk: 16.3% (95% CI, 13.2%-19.8%) had experienced a severe event by age 28 years. CONCLUSIONS: CCS experienced higher rates of mental health visits and a greater risk for a severe event than the general population. Survivors of adolescent cancer have a higher rate of mental health visits overall, whereas survivors of cancer before age 4 years have a markedly elevated risk of severe events. Cancer 2018;124:2045-57. © 2018 American Cancer Society.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".