Epidemiology of Sebaceous Carcinoma in Alberta, Canada, from 1988 to 2007
Bibliographic record
Abstract
Background: The epidemiology of sebaceous carcinoma (SC) has not previously been examined in a Canadian population. Objective: To determine the epidemiologic trends of SC in Alberta, Canada, from 1988 to 2007. Methods: This study was a population-based, retrospective, epidemiologic analysis of SC in Alberta over a 20-year span. Results: Over the study period, the age-standardized SC incidence increased from 0.22 per 100,000 to 0.65 per 100,000. Sebaceous carcinoma is a cancer that predominantly affects the elderly (over 85% of cases were in persons 60 years or older). Interestingly, the face (37.7% of cases), not the eyelids (26.2% of cases), was the most frequently affected site overall. Gender-specific trends reflected a slight male predominance (1.4:1) and significant differences in anatomic distribution between the sexes. Conclusion: For unexplained reasons, there has been a threefold increase in SC incidence in Alberta over the last two decades. In addition, there are significant gender-specific differences in the anatomic distribution of SC. Contexte: L'épidémiologie du carcinome sébacé (CS) n'a jamais fait l'objet d'étude au Canada. Objectif: L'étude visait à déterminer les tendances épidémiologiques du CS en Alberta, au Canada, de 1988 à 2007. Méthodes: Il s'agit d'une analyse épidémiologique, rétrospective, fondée sur la population, du CS, en Alberta, sur une période de 20 ans. Résultats: Au cours de la période à l'étude, l'incidence du CS normalisée selon l'âge est passée de 0.22 pour 100,000 à 0.65 pour 100,000. Le carcinome sébacé est un cancer qui touche surtout les personnes âgées (plus de 85% des cas se comptaient parmi les personnes de 60 ans et plus). Point intéressant, la région le plus souvent touchée, dans l'ensemble, était la face (37.7% des cas), et non les paupières (26.2% des cas). Les tendances propres à chaque sexe ont révélé une fréquence légèrement plus élevée chez les hommes que chez les femmes (1.4/1) et des différences importantes entre les sexes quant à la répartition anatomique du siège des lésions. Conclusion: Pour des raisons inconnues, l'incidence du CS a triplé en Alberta au cours des deux dernières décennies. De plus, il existe des différences importantes entre les sexes quant à la répartition anatomique du CS.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 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".