Extracutaneous melanoma epidemiology in British Columbia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The epidemiology of extracutaneous melanoma (ECM) is sparsely reported upon in the literature, and studies to date have been limited both by time and by geographic gaps in available data. Utilizing a comprehensive provincial cancer registry, we sought to analyze the incidence and survival rates of ECM on the basis of sex and anatomic distribution for the British Columbia, Canada population. Data on ECMs diagnosed between 1 January 1992 and 31 December 2006 were obtained from the BC Cancer Registry. Anatomical sites of ECM were classified on the basis of ICD-9 codes, and incidence rates for each site were age standardized and grouped by sex. The 5-year survival rate for each anatomical grouping was tracked until 31 December 2011. A total of 922 primary ECMs were recorded in the BC Cancer Registry between 1992 and 2006, representing 5.1% of melanoma incidence. Ocular melanomas were most frequently reported, with an age-standardized incidence rate (per million) of 10.6 for men and 8.5 for women. ECM patients were generally older at diagnosis and had poorer survival rates compared with cutaneous melanoma cases. Five-year survival rates for ECM varied markedly from 23.5% for genital lesions to 87.0% for ocular cases. Our ECM epidemiology results are largely consistent with previous studies from the USA and Europe. Where considerable differences in reported values do exist, the opportunity arises to assess the efficacy of melanoma detection, monitoring, and treatment strategies in different geographic regions. Our study represents the largest epidemiological investigation of ECM in Canada and provides a framework for future epidemiological comparisons.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.002 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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