Demographic and Tumor Characteristics of Patients Diagnosed with Nonmelanoma Skin Cancer: 13-Year Retrospective Study
Bibliographic record
Abstract
BACKGROUND: The incidence of basal cell carcinoma (BCC) and squamous cell carcinoma (SCC) is increasing worldwide; however, this varies by region. To date, there are limited data about trends of nonmelanoma skin cancer (NMSC) in Canada. OBJECTIVE: To determine the demographic and tumor characteristic changes in patients diagnosed with BCC and SCC from 1993 to 2005 in a dermatology practice in Vancouver, British Columbia. METHOD: A retrospective chart review was conducted on patients with biopsy-confirmed NMSC between 1993 and 2005. Demographic and tumor characteristics were documented for the first two incident BCCs and SCCs per patient, and a descriptive data analysis was undertaken. RESULTS: A total of 1,177 NMSCs were identified from 885 patient charts. The number of BCCs increased from 1993 to 2003 and then decreased until 2005. BCCs and SCCs were generally diagnosed in older people (60+ years); however, an important group of younger patients (20-39 years) was also diagnosed with BCCs. BCCs and SCCs were most commonly seen on the head and neck, but the leg was a common location for SCC in women. CONCLUSION: NMSC is prevalent in British Columbia. These results highlight the fact that NMSC can affect individuals younger than 40 years old. Prevention strategies are warranted to reduce the burden of NMSC in British Columbia.
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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) | 0.001 | 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".