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Time trend and Bayesian mapping of multiple myeloma incidence in Sardinia, Italy
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854669/ https://www.ncbi.nlm.nih.gov/pubmed/35177759 http://dx.doi.org/10.1038/s41598-022-06745-z |
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author | Broccia, Giorgio Carter, Jonathan Ozsin-Ozler, Cansu Meloni, Federico Pilia, Ilaria De Matteis, Sara Cocco, Pierluigi |
author_facet | Broccia, Giorgio Carter, Jonathan Ozsin-Ozler, Cansu Meloni, Federico Pilia, Ilaria De Matteis, Sara Cocco, Pierluigi |
author_sort | Broccia, Giorgio |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8854669 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88546692022-02-18 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 Sci Rep Article 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. Nature Publishing Group UK 2022-02-17 /pmc/articles/PMC8854669/ /pubmed/35177759 http://dx.doi.org/10.1038/s41598-022-06745-z Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Broccia, Giorgio Carter, Jonathan Ozsin-Ozler, Cansu Meloni, Federico Pilia, Ilaria De Matteis, Sara Cocco, Pierluigi Time trend and Bayesian mapping of multiple myeloma incidence in Sardinia, Italy |
title | Time trend and Bayesian mapping of multiple myeloma incidence in Sardinia, Italy |
title_full | Time trend and Bayesian mapping of multiple myeloma incidence in Sardinia, Italy |
title_fullStr | Time trend and Bayesian mapping of multiple myeloma incidence in Sardinia, Italy |
title_full_unstemmed | Time trend and Bayesian mapping of multiple myeloma incidence in Sardinia, Italy |
title_short | Time trend and Bayesian mapping of multiple myeloma incidence in Sardinia, Italy |
title_sort | time trend and bayesian mapping of multiple myeloma incidence in sardinia, italy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854669/ https://www.ncbi.nlm.nih.gov/pubmed/35177759 http://dx.doi.org/10.1038/s41598-022-06745-z |
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