Mesothelioma: Incidence and survival rates in Nova Scotia, Canada 1990–2002
Bibliographic record
Abstract
9636 Background: This study was conducted to evaluate the incidence and survival rates for mesothelioma in the province of Nova Scotia (NS), Canada using population-based data. Methods: A retrospective chart review was performed, using NS cancer registry data and cancer centre patient charts of all documented cases of mesothelioma in the province of NS between 1990 and 2002. Results: Between 1990 and 2002, 101 cases of mesothelioma were recorded. The overall incidence of mesothelioma was 1.3 per 100,000. The incidence rate by gender showed a higher rate in men than women with 1.47 per 100,000 versus 0.2 per 100,000, respectively. Incidence rates were highest in the area of Halifax County. The median age at the time of diagnosis was 70 in men and 64 in women. The distribution of mesothelioma per anatomical site was 87% pleural, 12% peritoneal and 1% unspecified. The most common presenting symptoms were shortness of breath (61%), chest pain (43%), and cough (27%). 69% of patients had documented asbestos exposure and 78% had a positive smoking history. The two year overall survival rate was 10% (10% for men and 15% for women). Conclusions: In Nova Scotia, Canada, the highest incidence of mesothelioma occurred in geographic areas where shipyards were common (Halifax County). Pleural disease was the most common anatomical site of origin for both genders. Men were at higher risk compared to women for the development of pleural mesothelioma over the time interval studied. Variable rates of mesothelioma were observed during the period examined. No significant financial relationships to disclose.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".