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. 2024 Feb 23;19(2):e0298100.
doi: 10.1371/journal.pone.0298100. eCollection 2024.

Spatial-temporal pattern of colorectal cancer mortality in a Northeastern Brazilian State

Affiliations

Spatial-temporal pattern of colorectal cancer mortality in a Northeastern Brazilian State

Alex R Moura et al. PLoS One. .

Abstract

Colorectal cancer (CRC) is one of the most common cancer types worldwide. Its increasing mortality trends, especially in emerging countries, are a concern. The aim of this study was to analyse mortality trends and spatial patterns of CRC in the state of Sergipe, Brazil, from 1990 to 2019. Trends were calculated using data from the Online Mortality Atlas and Joinpoint Regression Program 4.8.0.1. Spatial analyses were performed using the empirical Bayesian model and Moran indices calculated by TerraView 4.2.2 between 1990 to 1999, 2000 to 2009 and 2010 to 2019. A total of 1585 deaths were recorded during the study period, with 58.42% among females. Trends were increasing and constant for both sexes and all age groups studied. The highest mean annual percent change was 6.2 {95% Confidence interval (CI) 3.4;9.0} for males aged +65 years and 4.5 (95% CI 3.2;5.8) for females aged 50-64 years. There was positive spatial autocorrelation for both sexes in all periods studied when using the Moran index for Bayesian rates. In summary, a consistent trend of increasing colorectal cancer (CRC) mortality has been observed overall. Nevertheless, an altered spatial distribution among males has emerged over the studied period.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Age-standardized rates trends of colorectal cancer mortality from 1990 to 2019, according to age groups.
(a) Male and (b) female.
Fig 2
Fig 2. Geographical distribution of the Bayesian rate for mortality, for males, divided into 10-year intervals.
Territorial grid extracted from the public domain website of IBGE (Brazilian Institute of Geography and Statistics): https://www.ibge.gov.br/geociencias/organizacao-do-territorio/malhas-territoriais.html. Source modified by the author.
Fig 3
Fig 3. Geographical distribution of the Bayesian rate for mortality, for females, divided into 10-year intervals.
Territorial grid extracted from the public domain website of IBGE (Brazilian Institute of Geography and Statistics): https://www.ibge.gov.br/geociencias/organizacao-do-territorio/malhas-territoriais.html. Source modified by the author.

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