Global trends in mortality from malignant mesothelioma: Analysis of WHO mortality database (1994‐2013)
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Little is known about the extent to which asbestos use ban has affected global trends in malignant mesothelioma. This study investigated recent global mortality trends of malignant mesothelioma. METHODS: Data were collected from International Agency for Research on Cancer/World Health Organization mortality database to examine age-standardized, gender-specific mortality rates for malignant mesothelioma (ICD10-C45). Cross-sectional mortality rates (2009-2013) as well as trends over time (1994-2013) were also reported. Gender-specific annual percent change (APC) was calculated to examine trends over time for each country. RESULTS: Among the 30 countries with highest mesothelioma mortality in men, there is almost 10-fold variation in mortality rates during 2009-2013 ranging from 6.25 per 100 000 for United Kingdom to 0.64 per 100 000 in Portugal; whereas, among the 30 countries with highest mesothelioma mortality in women, there is a 4-fold variation in mortality rates during 2009-2013 ranging from 1.08 per 100 000 for United Kingdom to 0.26 per 100 000 in Ireland. Mortality rates were higher in men compared to women in 32 out of 35 evaluable countries. Among males and over the last 10 years of covered years, mesothelioma mortality was significantly declining in 9 countries (United Kingdom, Sweden, France, Germany, Netherlands, Canada, United States, Australia, and New Zealand); whereas, it was significantly rising in 5 countries (Poland, Spain, China-Hong Kong, Japan, and Republic of Korea). In the remaining countries, APC was stable. Among females and over the last 10 years of covered years, mesothelioma mortality was significantly declining in 1 country only (Italy); whereas, it was significantly rising in 3 countries (Poland, Argentina, and Republic of Korea). In the remaining countries, APC was stable. CONCLUSIONS: There is a worldwide variability in the burden and trends of mesothelioma mortality; and despite the ban on asbestos in many countries, mesothelioma still represents an important cause of mortality.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 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".