Geographic distribution of malignant mesothelioma incidence and survival in Australia.
Cancer
Incidence
Mesothelioma
Spatial modeling
Statistical modeling
Survival
Journal
Lung cancer (Amsterdam, Netherlands)
ISSN: 1872-8332
Titre abrégé: Lung Cancer
Pays: Ireland
ID NLM: 8800805
Informations de publication
Date de publication:
05 2022
05 2022
Historique:
received:
13
01
2022
revised:
14
03
2022
accepted:
22
03
2022
pubmed:
5
4
2022
medline:
4
5
2022
entrez:
4
4
2022
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 35378379
pii: S0169-5002(22)00386-5
doi: 10.1016/j.lungcan.2022.03.017
pii:
doi:
Substances chimiques
Asbestos
1332-21-4
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
17-24Informations de copyright
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