Head and Neck Cancer in Canada
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVES: The objective of this study was to investigate the changes in the epidemiology (incidence, age at diagnosis, and survival) of head and neck cancers (HNCs) in Canada in the past decade. STUDY DESIGN: Analysis of a national cancer data registry. SETTING: All Canadian hospital institutions treating head and neck cancer. SUBJECTS AND METHODS: Using Canadian Cancer Registry data (1992-2007), the authors categorized HNCs into 3 groups according to their possible association with human papillomavirus (HPV): oropharynx (highly associated), oral cavity (moderate association), and "other" (hypopharynx, larynx, and nasopharynx), which are not HPV related. They calculated age-adjusted incidence, median age at diagnosis, and survival for each category. RESULTS: Oropharynx tumors increased in incidence over the study time period (annual percent change: 1.50% men, 0.8% women), whereas oral cavity tumors decreased (2.10% men, 0.4% women), as did other HNCs (decreased by 3.0% for men and 1.9% for women). The median age at diagnosis for oropharynx cancer decreased by an average of 0.23 years/y. There was no change for oral cavity tumors but an increase for other HNCs of 0.12 years/y. Survival for patients with oropharynx cancer increased by 1.5%/y but was significant for men only. Survival for patients with oral cavity and other HNCs also increased in men only by 0.9%/y and 0.25%/y, respectively. CONCLUSION: Oropharynx cancer, which is highly correlated with HPV infection, is increasing in incidence in Canada, with a decreasing age at diagnosis and an improvement in survival. This could have implications for screening strategies and treatment for oropharyngeal cancers in Canada.
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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) | 0.000 | 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) | 0.000 | 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 it