Trends in the incidence of human papillomavirus-related noncervical and cervical cancers in Alberta, Canada: a population-based study
Bibliographic record
Abstract
INTRODUCTION: Recent epidemiologic studies have suggested that the incidence of noncervical cancers associated with human papillomavirus (HPV) is increasing. We assessed temporal, age-specific and sex-specific changes in the incidence of HPV-associated cancers in a population-based study. METHODS: We used the Alberta Cancer Registry, a registry of all cancers diagnosed in the province of Alberta, Canada, to identify patients with cancers of the oropharynx, cervix, vulva, vagina, anus and penis (cancers associated with HPV) between Jan. 1, 1975, and Dec. 31, 2009. We estimated the age-standardized incidence of each cancer by sex- and age-specific group and assessed the annual percentage change using joinpoint regression. RESULTS: The age-standardized incidence of oropharyngeal cancers increased for each 5-year interval of the study period among men (annual percentage change 3.4, p < 0.001) and women (annual percentage change 1.5, p = 0.009). For anal cancers, the age-standardized rates increased among women (annual percentage change 2.2, p < 0.001) and men (annual percentage change 1.8, p = 0.008). The age-standardized incidence of cervical cancer increased with age, reaching an annual percentage change of -3.5 among women aged 75-84 years (p = 0.04). The rates of other HPV-associated cancers (vulvar, vaginal and penile) showed little change. INTERPRETATION: Our findings showed increases in the incidence of the HPV-associated cancers of the oropharynx and anus among men and women, and increases in cervical cancer among younger women. The incidence of HPV-related cancers in younger age groups should continue to be monitored. Programs to prevent HPV infection, such as vaccination, should be considered for males as well as females.
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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) | 0.000 | 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) | 0.002 | 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 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".