Research, policy and practice related to survivors of childhood, adolescent and young adult cancers in British Columbia (BC), Canada: A population-based approach
Bibliographic record
Abstract
9539 Background and Purpose: Prevalence of long term survivors of pediatric, adolescent and young adult cancers is increasing. In BC we are using a multidimensional population approach to address research and care for these survivors. Information on trends in prevalence of survivors and use of physician services are presented. Methods: We have identified a cohort of patients under 25, diagnosed from population registries since 1970, and linked their records with person-based longitudinal records of health utilization. Results: Prevalence rate of cancer survivors aged 0–59 years, originally diagnosed under age 25, increased 5 fold between 1975 and 2005, from 26 per 100,000 to 147 per 100,000; 78% were aged 20 or older. A total subgroup of 3,787 individuals surviving five years or more, diagnosed between 1970 and 1995, were identified; 2,590 (68%) of these were linked to physician visit records (excluding visits within BC's Children's Hospital) from 1986 to 2000. In year 2000, 77% of survivors had at least one physician visit; 75% of survivors saw a family physician (FP), and 44% of survivors visited a specialist physician with a specialty that could be related to a late effect. Between 1986 and 2000 survivor prevalence increased 3.3% per year; total visits by survivors to FPs increased by 11.6% per year and by 10.6% per year to specialists. In 1986, 66% of physician visits were for patients older than 20 which increased to 79% by 2000. A provincial pediatric oncology network consisting of oncologists and community care representatives has been established to implement changes to long-term follow up policy. Conclusion: The prevalence rate and utilization of health services among survivors of childhood, adolescent and young adult cancers continues to escalate. Research results, along with other published literature, will inform the development of policy and practice within the BC Network. No significant financial relationships to disclose.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".