Evidence map›Paper›PMID 38088719›Full record

ArticleRevista brasileira de epidemiologia = Brazilian journal of epidemiology2023

Temporal-spatial analysis of mortality from cardiovascular diseases in the State of Ceará, Brazil, between 2009-2019.

Aldino Barbosa Dos Santos, Adriana de Moraes Bezerra, Lucas Dias Soares Machado, Naanda Kaanna Matos de Souza, Vera Lúcia Mendes de Paula Pessoa

Abstract read
In one paragraph

Article in Revista brasileira de epidemiologia = Brazilian journal of epidemiology, 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
–field-weighted citation impact
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

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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. Article
  2. Spatio-temporal evolution of stroke mortality in Minas Gerais, Brazil, 1980-2021.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2024
    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

5 authors.

Aldino Barbosa Dos SantosEscola de Saúde Pública do Ceará - Fortaleza (CE), Brazil.ORCID http://orcid.org/0000-0002-5500-3386
Adriana de Moraes BezerraUniversidade Regional do Cariri - Iguatu (CE), Brazil.ORCID http://orcid.org/0000-0003-0929-4685
Lucas Dias Soares MachadoUniversidade Regional do Cariri - Iguatu (CE), Brazil.ORCID http://orcid.org/0000-0003-4450-3796
Naanda Kaanna Matos de SouzaUniversidade Federal do Ceará - Fortaleza (CE), Brazil.ORCID http://orcid.org/0000-0001-5392-175X
Vera Lúcia Mendes de Paula PessoaUniversidade Estadual do Ceará - Fortaleza (CE), Brazil.ORCID http://orcid.org/0000-0002-5441-5311

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the spatial distribution of mortality from cardiovascular diseases in the municipalities of the state of Ceará, Brazil, between 2009-2019.

methodsThis is an ecological study with a spatial focus on the state of Ceará, considering the period from 2009 to 2019. Death data from the Brazilian Mortality Information System and population data from the Brazilian Institute of Geography and Statistics were used to calculate crude and standardized mortality rates from cardiovascular diseases. Temporal analysis was carried out using the Joinpoint Regression Program 4.9.0 software and spatial analysis of the municipalities' average mortality. The values were smoothed by the local empirical Bayesian method using QGIS 3.16. For spatial clusters, the Global and Local Moran Index was used through Moran Map and LISA Map, with analyses carried out in TerraView 4.2.2.

resultsA total of 132,145 deaths from cardiovascular diseases were recorded in the period, with an average increase of 3% per year. Higher mortality rates were observed in men, people aged ≥80 years, mixed-race ethnicity/skin color, married, and with lower level of education. There was the formation of clusters of municipalities with high mortality rates in the regions of Vale do Jaguaribe, Sertão Central, Centro Sul, Sertão dos Inhamuns and Serra da Ibiapaba.

conclusionThis study identified municipalities with high mortality and exposed the need for strategies aligned with the reality and particularities of these locations.

Indexed as

Cardiovascular DiseasesBayes TheoremBrazilCitiesHumansMaleSpatial Analysis

Identifiers

PMID38088719
PMCPMC10715321

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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.