ArticleBMC cancer2019
Geographical patterns of the incidence and mortality of colorectal cancer in mainland Portugal municipalities (2007-2011).
Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Pooled it
- Area-Level Determinants in Colorectal Cancer Spatial Clustering Studies: A Systematic Review.International journal of environmental research and public health · 2021Pooled it
- Impact of environmental and socioeconomic factors on the prevalence of and DALYs due to cutaneous leishmaniasis globally from 1990 to 2021 based on remote sensing and GIS technologies.Parasites & vectors · 2026Article
- Health and economic gains from bariatric surgery in Portugal: an in-depth analysis using a Markov model.Health economics review · 2025Article
- Determining the effects of social-environmental factors on the incidence and mortality of lung cancer in China based on remote sensing and GIS technology during 2007-2016.BMC public health · 2025Article
- Comparative epidemiological analysis of tumors of the digestive system in dogs and cats.Frontiers in veterinary science · 2025Article
- Risk Factors in Serrated Pathway Lesions: N-Glycosylation Profile as a Potential Biomarker of Progression to Malignancy.GE Portuguese journal of gastroenterology · 2024Article
- Association between nutrient intake related to the one-carbon metabolism and colorectal cancer risk: a case-control study in the Basque Country.European journal of nutrition · 2023Observational
- Geographic Characteristics of Various Cancers in Yogyakarta Province, Indonesia: A Spatial Analysis at the Community Level.Asian Pacific journal of cancer prevention : APJCP · 2022Article
- Observational
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3 authors.
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Abstract
backgroundCancer 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.
methodsOur 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.
resultsIncidence 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.
conclusionsThere 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).
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