Peritoneal mesothelioma mortality in Italy: Spatial analysis and search for asbestos exposure sources |
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| Institution: | 1. Department of Environment and Health, Istituto Superiore di Sanità, viale Regina Elena, 299 I-00161 Rome, Italy;2. Statistical Service, Istituto Superiore di Sanità, viale Regina Elena, 299 I-00161 Rome, Italy;1. Moffitt Cancer Center, Department of Health Outcomes and Behavior, 4115 E. Fowler Ave., Tampa, FL 33617, United States;2. Moffitt Cancer Center, Center for Immunization and Infection Research in Cancer, 12902 USF Magnolia Drive, Tampa, FL 33612, United States;3. Moffitt Cancer Center, Department of Cancer Epidemiology, 12902 USF Magnolia Drive, Tampa, FL 33612, United States;4. Moffitt Cancer Center, Department of Biostatistics and Bioinformatics, 12902 USF Magnolia Drive, Tampa, FL 33612, United States;5. University of South Florida, Department of Family Medicine, 13330 USF Laurel Drive, Tampa, FL 33612, United States;6. University of South Florida, Department of Epidemiology & Biostatistics, 13201 Bruce B Downs Blvd, Tampa, FL 33612, United States;8. University of Florida, Department of Medicine, 1600 SW Archer Rd., Gainesville, FL 32608, United States;9. University of Florida Health, Department of Health Outcomes and Biomedical Informatics, 2004 Mowry Road, Ste 2245, Gainesville, FL 32610, United States;10. University of Florida Health, Cancer Population Sciences, 2004 Mowry Road, Ste 2245, Gainesville, FL 32610, United States;1. Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, United States;2. Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences Durham, NC, United States;3. Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, United States;4. Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, United States;5. Biospecimen Processing Center, University of North Carolina, Chapel Hill, NC, United States;6. Division of Oncology and Center for Childhood Cancer Research, Children’s Hospital of Philadelphia, Philadelphia, PA, United States;7. Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA, United States;8. Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States;9. Showers Center for Childhood Cancer and Blood Disorder, Akron Children’s Hospital, Akron, OH, United States;10. Department of Biostatistics, Colleges of Medicine and Public Health & Health Professions, University of Florida, Children’s Oncology Group Statistics & Data Center, Gainesville, FL, United States;11. Department of Otolaryngology, Washington University School of Medicine, St Louis, MO, 63110;1. Centre for Big Data Research in Health, University of New South Wales Sydney, NSW, Australia;2. Centre for Primary Health Care and Equity, University of New South Wales Sydney, NSW, Australia;3. School of Medicine, University of Wollongong, NSW, Australia;4. National Drug and Alcohol Research Centre, University of New South Wales Sydney, NSW, Australia;5. Faculty of Medicine and Health, University of Sydney, NSW, Australia;6. Cancer Voices NSW, NSW, Australia;1. Institute of Medical Epidemiology, Biostatistics and Informatics, Medical Faculty, Martin-Luther-University Halle-Wittenberg, Germany;2. Section of Cancer Information, International Agency for Research on Cancer, 150 cours Albert Thomas, 69372 Lyon Cedex 08, France;3. Department of Medicine, University of Zimbabwe School of Medicine, Harare, Zimbabwe;4. Department of Pathology, Maputo Central Hospital, Maputo, Mozambique;5. CTSU, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7FL, United Kingdom;6. African Cancer Registry Network, 267 Banbury Road, Oxford OX2 7HT, United Kingdom;1. Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA;2. Department of Health and Human Performance, University of Houston, TX, USA;3. Health Disparities Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA;1. Department of Medicine, University of Kentucky, Lexington, KY, United States;2. Department of Neurology, University of Kentucky, Lexington, KY, United States;3. Departments of Neurosurgery, University of Kentucky, Lexington, KY, United States;4. Departments of Pathology, Division of Neuropathology, University of Kentucky, Lexington, KY, United States;5. Markey Cancer Center, University of Kentucky, Lexington, KY, United States |
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| Abstract: | BackgroundThis study is part of a national plan of epidemiological surveillance of malignant mesothelioma (MM) mortality in Italy. The paper shows the results of malignant peritoneal mesothelioma (MPeM) mortality study in Italian Regions and municipalities.MethodsNational Bureau of Statistics data for MPeM municipal mortality (ICD-10, Code C45.1) were analyzed in the time-window 2003–2014: mortality standardized rates (reference Italian population, census 2011), temporal trends of the annual national rates, Standardized Mortality Ratios and a municipal clustering analysis were performed.Results747 deaths for MPeM were recorded (0.10/100,000): 464 in men (0.14/100,000) and in 283 women (0.07/100,000). No significant MPeM mortality temporal trend was found.Seventeen municipalities showed excesses of mortality for MPeM in at least one gender and/or overall population.Four clusters in male population, and one in women were identified.ConclusionsThe study identifies some areas where remediation activities and/or health care actions may be warranted. |
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| Keywords: | Mortality Peritoneal mesothelioma Epidemiological surveillance Asbestos Italy |
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