Your browser doesn't support javascript.
loading
Time trend and Bayesian mapping of multiple myeloma incidence in Sardinia, Italy.
Broccia, Giorgio; Carter, Jonathan; Ozsin-Ozler, Cansu; Meloni, Federico; Pilia, Ilaria; De Matteis, Sara; Cocco, Pierluigi.
Afiliação
  • Broccia G; Department of Haematology and Bone Marrow Transplants, Hospital A. Businco, 09121, Cagliari, Italy.
  • Carter J; University of Coventry, Coventry, CV1 5FB, UK.
  • Ozsin-Ozler C; Department of Paediatric Dentistry, Hacettepe University, Faculty of Dentistry, Ankara, Turkey.
  • Meloni F; Department of Medical Sciences and Public Health, University of Cagliari, 09042, Monserrato, Italy.
  • Pilia I; Department of Medical Sciences and Public Health, University of Cagliari, 09042, Monserrato, Italy.
  • De Matteis S; Department of Medical Sciences and Public Health, University of Cagliari, 09042, Monserrato, Italy.
  • Cocco P; Department of Medical Sciences and Public Health, University of Cagliari, 09042, Monserrato, Italy. pcocco@unica.it.
Sci Rep ; 12(1): 2736, 2022 02 17.
Article em En | MEDLINE | ID: mdl-35177759
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bases de Dados Factuais / Mieloma Múltiplo Tipo de estudo: Incidence_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged País/Região como assunto: Europa Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bases de Dados Factuais / Mieloma Múltiplo Tipo de estudo: Incidence_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged País/Região como assunto: Europa Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Itália