Trends in Non-Melanoma Skin Cancer (Basal Cell Carcinoma and Squamous Cell Carcinoma) in Canada
Bibliographic record
Abstract
BACKGROUND: Despite its increased incidence and status as the most prevalent cancer in Canada, there is a paucity of epidemiological data on non-melanoma skin cancer (NMSC). OBJECTIVE: To assess trends of keratinocyte carcinomas (KC) in Canada over 5 decades. METHODS: Articles published from 1960 to 2015 on NMSC in Canada were identified through MEDLINE. Six articles met our search criteria. RESULTS: Overall, KC has increased. However, the rate of increase in the past decade has slowed down and decreased in younger age cohorts. Men had higher incidences of KC. In both sexes, the basal cell carcinoma and squamous cell carcinoma ratio was ≥2.5:1. Keratinocyte carcinomas were most commonly located on the head and neck, and increasing rates are occurring on the trunk. LIMITATIONS: The methods of registering skin cancer cases vary among different provinces. CONCLUSION: Keratinocyte carcinomas incidence is overall increasing; however, there may be evidence that the incidence is leveling off and decreasing in younger age cohorts.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.013 | 0.023 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".