ArticlePloS one2025
Spatiotemporal disparities in the diagnosis, treatment, and mortality of respiratory tract cancers in Brazil.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- School-Based Cancer Education and Health Literacy: A Pre-Post Study on Cancer Prevention and System Navigation Among Brazilian Adolescents.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026Article
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Authors and funding
14 authors.
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Abstract
purposeThis study aimed to assess spatiotemporal disparities in the diagnosis, treatment, and mortality rates of respiratory tract cancers (RTCs) in Brazil.
methodsData on 40-79-year-old Brazilian patients diagnosed with RTCs between 2013 and 2022 were analyzed using spatial and temporal analysis. We also calculated the healthcare and mortality ratio (HMR), defined as the relationship between diagnosis/treatment density and mortality, to provide an additional measure of healthcare disparities.
resultsSpace-time cubes analysis (STC) revealed significant increasing trends in diagnosis (trend statistic = 3.22, p = 0.0013) and treatment (trend statistic = 3.04, p = 0.0042) and stable trends in mortality (trend statistic <0.001, p = 1.0000), with hot spots in the South and Southeast and cold spots in the Northeast for diagnosis and treatment, whereas mortality displayed persistent high values in the South, with more variable patterns across other regions. Temporal graph analysis showed that the analyzed variables peaked in 2019 and decreased in the following year. It was also observed that, from 2013-2017-2018-2022, diagnosis and treatment rates expanded from the South to the Southeast and Central-West, whereas mortality did not differ significantly between the two quinquennia. Global spatial autocorrelation (Moran's I > 0.85) was observed for diagnosis, treatment, and mortality rates in both quinquennia. Univariate local indicators of spatial association analysis identified high-high clusters for diagnosis, treatment and mortality, mainly in the South, and low-low clusters in the North and Northeast. In 2013-2017, high HMR values were limited to northern Parana state, the southwestern of Mato Grosso do Sul state, the southern portion of Goias state, and western area of Minas Gerais. In the next quinquennia, HMR improved across almost all the South and Southeast regions and expanded into parts of Center-West, North, and Northeast.
conclusionThe observed improvements in diagnostic and treatment services have not resulted in a consistent and widespread reduction in RTC mortality across the country, despite recent efforts to expand service delivery beyond major urban centers.
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