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Geographical patterns of the incidence and mortality of colorectal cancer in mainland Portugal municipalities (2007–2011)

BACKGROUND: Cancer is a leading cause of morbidity and mortality in the world. In Portugal, colorectal cancer is one of the most incident cancers; thus, it is crucial to act to fight it. Knowledge of the geographical distribution of the incidence and mortality of colorectal cancer can facilitate the...

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Autores principales: Roquette, R., Painho, M., Nunes, B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6542026/
https://www.ncbi.nlm.nih.gov/pubmed/31142284
http://dx.doi.org/10.1186/s12885-019-5719-9
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author Roquette, R.
Painho, M.
Nunes, B.
author_facet Roquette, R.
Painho, M.
Nunes, B.
author_sort Roquette, R.
collection PubMed
description BACKGROUND: Cancer is a leading cause of morbidity and mortality in the world. In Portugal, colorectal cancer is one of the most incident cancers; thus, it is crucial to act to fight it. Knowledge of the geographical distribution of the incidence and mortality of colorectal cancer can facilitate the execution of these actions and make them more effective. METHODS: Our paper aims to describe and discuss the geographical patterns of colorectal cancer incidence and mortality in mainland Portugal municipalities (2007–2011). We used the Besag, York and Mollié (BYM) model to compute the relative risk (RR) and posterior probability (PP). We performed a cluster analysis with Global Moran’s Index and Local Moran’s Index (LISA). We ran a geographically weighted regression (GWR) to compare incidence and mortality patterns. RESULTS: Incidence and mortality have different distributions of RR values. The interval of RR concerning incidence was higher than the interval of RR concerning mortality. PP values reinforce the finding of higher heterogeneity of the incidence of colorectal cancer. The comparison of the cluster maps for incidence and mortality shows a few municipalities classified with the same cluster type in both maps. Additionally, the GWR results show that the percentage of RR mortality explained by RR incidence differs throughout mainland Portugal. From the comparison of our results with the prevalence of risk factors (at NUTS II level), the need to be aware of smoking habits, alcohol consumption and the unhealthy diet of the Portuguese population stands out. CONCLUSIONS: There are differences in the geographical distribution of the RR incidence and RR mortality of colorectal cancer in mainland Portugal municipalities. Likewise, it is relevant to highlight the cluster of two municipalities with high RR values concerning colorectal cancer’s incidence and mortality. Future research is necessary to explain the geographical differences in the distribution of colorectal cancer in mainland Portugal municipalities. Based on our findings, it may be interesting to examine the influence of smoking, alcohol consumption, diet and screening on colorectal cancer in greater detail. Additionally, it may be relevant to develop an analysis focused on municipalities where the incidence values explain the mortality values poorly (or well). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-019-5719-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-65420262019-06-03 Geographical patterns of the incidence and mortality of colorectal cancer in mainland Portugal municipalities (2007–2011) Roquette, R. Painho, M. Nunes, B. BMC Cancer Research Article BACKGROUND: Cancer is a leading cause of morbidity and mortality in the world. In Portugal, colorectal cancer is one of the most incident cancers; thus, it is crucial to act to fight it. Knowledge of the geographical distribution of the incidence and mortality of colorectal cancer can facilitate the execution of these actions and make them more effective. METHODS: Our paper aims to describe and discuss the geographical patterns of colorectal cancer incidence and mortality in mainland Portugal municipalities (2007–2011). We used the Besag, York and Mollié (BYM) model to compute the relative risk (RR) and posterior probability (PP). We performed a cluster analysis with Global Moran’s Index and Local Moran’s Index (LISA). We ran a geographically weighted regression (GWR) to compare incidence and mortality patterns. RESULTS: Incidence and mortality have different distributions of RR values. The interval of RR concerning incidence was higher than the interval of RR concerning mortality. PP values reinforce the finding of higher heterogeneity of the incidence of colorectal cancer. The comparison of the cluster maps for incidence and mortality shows a few municipalities classified with the same cluster type in both maps. Additionally, the GWR results show that the percentage of RR mortality explained by RR incidence differs throughout mainland Portugal. From the comparison of our results with the prevalence of risk factors (at NUTS II level), the need to be aware of smoking habits, alcohol consumption and the unhealthy diet of the Portuguese population stands out. CONCLUSIONS: There are differences in the geographical distribution of the RR incidence and RR mortality of colorectal cancer in mainland Portugal municipalities. Likewise, it is relevant to highlight the cluster of two municipalities with high RR values concerning colorectal cancer’s incidence and mortality. Future research is necessary to explain the geographical differences in the distribution of colorectal cancer in mainland Portugal municipalities. Based on our findings, it may be interesting to examine the influence of smoking, alcohol consumption, diet and screening on colorectal cancer in greater detail. Additionally, it may be relevant to develop an analysis focused on municipalities where the incidence values explain the mortality values poorly (or well). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-019-5719-9) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-29 /pmc/articles/PMC6542026/ /pubmed/31142284 http://dx.doi.org/10.1186/s12885-019-5719-9 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Roquette, R.
Painho, M.
Nunes, B.
Geographical patterns of the incidence and mortality of colorectal cancer in mainland Portugal municipalities (2007–2011)
title Geographical patterns of the incidence and mortality of colorectal cancer in mainland Portugal municipalities (2007–2011)
title_full Geographical patterns of the incidence and mortality of colorectal cancer in mainland Portugal municipalities (2007–2011)
title_fullStr Geographical patterns of the incidence and mortality of colorectal cancer in mainland Portugal municipalities (2007–2011)
title_full_unstemmed Geographical patterns of the incidence and mortality of colorectal cancer in mainland Portugal municipalities (2007–2011)
title_short Geographical patterns of the incidence and mortality of colorectal cancer in mainland Portugal municipalities (2007–2011)
title_sort geographical patterns of the incidence and mortality of colorectal cancer in mainland portugal municipalities (2007–2011)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6542026/
https://www.ncbi.nlm.nih.gov/pubmed/31142284
http://dx.doi.org/10.1186/s12885-019-5719-9
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