Abstract

A few reports have described increasing trends and spatial distribution of multiple myeloma (MM). We used a validated database including the 1606 cases of MM diagnosed in Sardinia in 1974–2003 to explore its time trend, and we applied Bayesian methods to plot MM probability by administrative unit on the regional map. Over the 30 years of observation, the MM standardized incidence rate (standard world population, all ages) was 2.17 × 10–5 (95% CI 2.01–2.34), 2.29 (95% CI 2.06–2.52) among men, and 2.06 (95% CI 1.83–2.28) among women. MM incidence increased by 3.3%/year in 1974–2003, in both males and females, particularly among the elderly and in the high incidence areas. Areas at risk tended to cluster in the north-eastern part of the region. A higher proportion of elderly in the resident population, but not socioeconomic factors, nor livestock farming, was associated with higher incidence rates. The steep upward time trend and the spatial clustering of MM suggest interactions between genetic and environmental determinants that might be more efficiently investigated in the areas at risk.

Details

Title
Time trend and Bayesian mapping of multiple myeloma incidence in Sardinia, Italy
Author
Broccia Giorgio 1 ; Carter, Jonathan 2 ; Ozsin-Ozler Cansu 3 ; Meloni Federico 4 ; Pilia Ilaria 4 ; De Matteis Sara 4 ; Cocco Pierluigi 5   VIAFID ORCID Logo 

 Hospital A. Businco, Department of Haematology and Bone Marrow Transplants, Cagliari, Italy 
 University of Coventry, Coventry, UK (GRID:grid.8096.7) (ISNI:0000000106754565) 
 Hacettepe University, Faculty of Dentistry, Department of Paediatric Dentistry, Ankara, Turkey (GRID:grid.14442.37) (ISNI:0000 0001 2342 7339) 
 University of Cagliari, Department of Medical Sciences and Public Health, Monserrato, Italy (GRID:grid.7763.5) (ISNI:0000 0004 1755 3242) 
 University of Cagliari, Department of Medical Sciences and Public Health, Monserrato, Italy (GRID:grid.7763.5) (ISNI:0000 0004 1755 3242); University of Manchester, Division of Population Health, Centre for Occupational and Environmental Health, Manchester, UK (GRID:grid.5379.8) (ISNI:0000000121662407) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2629528836
Copyright
© The Author(s) 2022. corrected publication 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.