Evidence map›Paper›PMID 37418502›Full record

ArticlePloS one2023

Spatial distribution of mortality from colorectal cancer in the southern region of Brazil.

Matheus Jacometo Coelho de Castilho, Miyoko Massago, Carlos Eduardo Arruda, Matheus Henrique Arruda Beltrame, Eleanor Strand, Carlos Edmundo Rodrigues Fontes, Oscar Kenji Nihei, Rogério do Lago Franco, Catherine Ann Staton, Raissa Bocchi Pedroso and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Observational
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 2 countries.

Matheus Jacometo Coelho de CastilhoPostgraduate Program in Health Sciences, State University of Maringa, Maringa, Parana, Brazil.ORCID 0000-0002-1254-5150
Miyoko MassagoPostgraduate Program in Health Sciences, State University of Maringa, Maringa, Parana, Brazil.
Carlos Eduardo ArrudaPostgraduate Program in Management, Technology and Innovation in Urgency and Emergency, State University of Maringa, Maringa, Parana, Brazil.
Matheus Henrique Arruda BeltrameDepartment of Medicine at the State University of Maringa, Maringa, Parana, Brazil.ORCID 0000-0001-8685-264X
Eleanor StrandDepartment of Emergency Medicine, Duke University School of Medicine, Durham, North Carolina, United States of America.
Carlos Edmundo Rodrigues FontesDepartment of Medicine at the State University of Maringa, Maringa, Parana, Brazil.
Oscar Kenji NiheiCenter of Education, Literature and Health, Western Paraná State University, Foz do Iguaçu, Parana, Brazil.
Rogério do Lago FrancoPostgraduate Program in Health Sciences, State University of Maringa, Maringa, Parana, Brazil.ORCID 0000-0002-5926-6941
Catherine Ann StatonPostgraduate Program in Health Sciences, State University of Maringa, Maringa, Parana, Brazil.
Raissa Bocchi PedrosoPostgraduate Program in Health Sciences, State University of Maringa, Maringa, Parana, Brazil.
Luciano de AndradePostgraduate Program in Health Sciences, State University of Maringa, Maringa, Parana, Brazil.
Universidade Estadual de Maringá · BRDuke University · USUniversidade Estadual do Oeste do Paraná · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is the leading cause of death due to cancer worldwide. In Brazil, it is the second most frequent cancer in men and women, with a mortality reaching 9.4% of those diagnosed. The aim of this study was to analyze the spatial heterogeneity of CRC deaths among municipalities in south Brazil, from 2015 to 2019, in different age groups (50-59 years, 60-69 years, 70-79 years, and 80 years old or more) and identify the associated variables. Global Spatial Autocorrelation (Moran's I) and Local Spatial Autocorrelation (LISA) analyses were used to evaluate the spatial correlation between municipalities and CRC mortality. Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR) were applied to evaluate global and local correlations between CRC deaths, sociodemographic, and coverage of health care services. For all age groups, our results found areas with high CRC rates surrounded by areas with similarly high rates mainly in the Rio Grande do Sul state. Even as factors associated with CRC mortality varied according to age group, our results suggested that improved access to specialized health centers, the presence of family health strategy teams, and higher rates of colonoscopies are protective factors against colorectal cancer mortality in southern Brazil.

Indexed as

Colorectal NeoplasmsNeoplasms, Second PrimaryBrazilCitiesFemaleHumansMaleMiddle AgedSpatial AnalysisSpatial Regression

Identifiers

PMID37418502
PMCPMC10328368
OpenAlexW4383500528

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.