Evidence map›Paper›PMID 39051209›Full record

ArticleEpidemiologia (Basel, Switzerland)2024

Sex Disparity in Stroke Mortality among Adults: A Time Series Analysis in the Greater Vitoria Region, Brazil (2000-2021).

Orivaldo Florencio de Souza, Alexandre Castelo Branco Araújo, Lorenna Baião Vieira, José Alexandre Bachur, Alberto Grover Prado Lopez, Thiago Gomes Gonçalves, Luiz Carlos de Abreu

Abstract read
In one paragraph

Article in Epidemiologia (Basel, Switzerland), 2024. 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

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. Article
  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

7 authors.

Orivaldo Florencio de SouzaPostgraduate Program in Nutrition and Health, Federal University of Espírito Santo, Vitoria 29043-900, Brazil.ORCID 0000-0002-3148-6870
Alexandre Castelo Branco AraújoHealth Sciences Center, Federal University of Espírito Santo, Vitoria 29043-900, Brazil.ORCID 0009-0009-0963-7116
Lorenna Baião VieiraPostgraduate Program in Public Health, Federal University of Espírito Santo Vitoria 29043-900, Brazil.ORCID 0000-0002-5727-6396
José Alexandre BachurMedical School, University of Franca, Franca 29102-920, Brazil.
Alberto Grover Prado LopezMedical Sector, Federal University of Acre, Rio Branco 69915-900, Brazil.
Thiago Gomes GonçalvesPostgraduate Program in Health Sciences, Federal University of Acre, Rio Branco 69915-900, Brazil.
Luiz Carlos de AbreuPostgraduate Program in Medical Sciences, University of Sao Paulo, São Paulo 01246-903, Brazil.ORCID 0000-0002-7618-2109

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The disparity between the sexes in stroke mortality has been demonstrated in people from different locations. The objective of this study was to analyze the disparity between sexes in stroke mortality in adults in the metropolitan area of Greater Vitoria between 2000 and 2021. Ecological time series design was conducted with a database of the Brazilian Health System Informatics Department. The annual percentage change and average annual percentage change were calculated through joinpoint regression. Pairwise comparisons using parallelism and coincidence tests were applied to compare temporal trends between men and women. Men had higher mortality rates in most years between 2000 and 2021. In contrast, women had higher proportional mortality values in all years evaluated from 2000 to 2021. The paired comparison revealed a disparity between the sexes in the proportional mortality time series (parallelism test:

Indexed as

cerebrovascular disordersepidemiologic measurementsstroketime series

Identifiers

PMID39051209
PMCPMC11270260

What OpenQuestion holds

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Registered trials

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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.