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- W4220784317 abstract "To understand the geographic distribution of and area-level factors associated with malignant mesothelioma incidence and survival in Australia.Generalised linear models and Bayesian spatial models were fitted using population registry data. Area-level covariates were socioeconomic quintile, remoteness category and state or territory. The maximised excess events test was used to test for spatial heterogeneity.There was strong evidence of spatial differences in standardised incidence rates for malignant mesothelioma but survival was uniformly poor. Incidence rates varied by state or territory and were lower in remote areas. Patterns in the geographic distribution of modelled incidence counts for malignant mesothelioma differed substantially from patterns of standardised incidence rates.Geographic variation in the modelled incidence counts of malignant mesothelioma demonstrates varying demand for diagnostic and management services. The long latency period for this cancer coupled with migration complicates any associations with patterns of exposure, however some of the geographic distribution of diagnoses can be explained by the location of historical mines and asbestos-related industries." @default.
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- W4220784317 date "2022-05-01" @default.
- W4220784317 modified "2023-10-03" @default.
- W4220784317 title "Geographic distribution of malignant mesothelioma incidence and survival in Australia" @default.
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- W4220784317 doi "https://doi.org/10.1016/j.lungcan.2022.03.017" @default.
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