Prevalence, severity, and predictors of symptom burden among adolescents and young adults with cancer
Bibliographic record
Abstract
BACKGROUND: Symptom burden in adolescents and young adults (AYA) with cancer is poorly characterized but impacts quality of life. METHODS: All Ontario, Canada AYA aged 15-29 years at diagnosis between 2010 and 2018 were linked to population-based healthcare databases, including to Edmonton Symptom Assessment System-revised (ESAS) scores, an 11-point scale routinely obtained at the time of cancer-related outpatient visits and collected provincially. Multistate models estimated mean duration of symptom severity states [none (0) vs. mild (1 vs. 2 vs. 3) vs. moderate (4-6) vs. severe (7-10)], trajectories, and subsequent mortality risk. Variables associated with severe symptoms were also determined. RESULTS: In total, 4296 AYA with ≥1 ESAS score within a year of diagnosis were included (median age 25 years). Prevalent moderate/severe symptoms included fatigue (59% of AYA) and anxiety (44%). Across symptom type, AYA reporting moderate symptoms were likelier to subsequently experience improvement versus worsening. Risk of death within 6 months increased with increasing symptom burden and was highest in AYA with severe dyspnea (9.0%), pain (8.0%), or drowsiness (7.5%). AYA in the poorest urban neighborhoods were more likely to experience severe symptoms than in the wealthiest areas, with twice the odds of reporting severe depression [adjusted odds ratio (OR) 1.95, 95th confidence interval (95% CI) 1.37-2.78], pain (OR: 1.94, 95% CI: 1.39-2.70), and dyspnea (OR: 1.96, 95% CI: 1.27-3.02). CONCLUSIONS: AYA with cancer experience substantial symptom burden. Risk of death increased with symptom severity. Interventions targeting cancer fatigue and anxiety, and targeting AYA in lower-income neighborhoods, are likely to improve quality of life in this population.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".