Evidence map›Paper›PMID 38992653›Full record

ArticleBMC public health2024

Spatial and trend analysis of gestational syphilis cases in Brazil from 2011 to 2020: an ecological study.

Thales Philipe Rodrigues da Silva, Rafaela Siqueira Costa Schreck, Débora Caixeta Bernardes de Oliveira, Letícia Vieira Mascarenhas, Bianca Maria Oliveira Luvisaro, Bárbara Tideman Sartório Camargo, Eunice Francisca Martins, Giselle Lima de Freitas, Fernanda Penido Matozinhos

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Spatiotemporal heterogeneity of gestational syphilis in the 1st Health Region of Pará in the Brazilian Amazon.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas · 2026
    Article
  3. Article
  4. 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

9 authors.

Thales Philipe Rodrigues da SilvaDepartment of Women's Health Nursing, Escola Paulista de Enfermagem, Universidade Federal de São Paulo, São Paulo, Brazil.
Rafaela Siqueira Costa SchreckDepartment of Maternal and Child Nursing and Public Health, School of Nursing, Universidade Federal de Minas Gerais, Avenida Alfredo Balena, 190, Santa Efigênia, Belo Horizonte, MG, CEP: 30130-100, Brazil.
Débora Caixeta Bernardes de OliveiraSchool of Nursing, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Letícia Vieira MascarenhasSchool of Nursing, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Bianca Maria Oliveira LuvisaroGraduate Nursing Program, School of Nursing, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Bárbara Tideman Sartório CamargoGraduate Nursing Program, Escola Paulista de Enfermagem, Universidade Federal de São Paulo, São Paulo, Brazil.
Eunice Francisca MartinsDepartment of Maternal and Child Nursing and Public Health, School of Nursing, Universidade Federal de Minas Gerais, Avenida Alfredo Balena, 190, Santa Efigênia, Belo Horizonte, MG, CEP: 30130-100, Brazil.
Giselle Lima de FreitasDepartment of Maternal and Child Nursing and Public Health, School of Nursing, Universidade Federal de Minas Gerais, Avenida Alfredo Balena, 190, Santa Efigênia, Belo Horizonte, MG, CEP: 30130-100, Brazil.
Fernanda Penido MatozinhosDepartment of Maternal and Child Nursing and Public Health, School of Nursing, Universidade Federal de Minas Gerais, Avenida Alfredo Balena, 190, Santa Efigênia, Belo Horizonte, MG, CEP: 30130-100, Brazil. nandapenido@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo analyze the rate of gestational syphilis (GS) based on temporal trends over 11 years, as well as the spatial distribution of GS in Brazil, based on the identification of spatial clusters. METHODOLOGY: An ecological, using Brazil and its regions as an analysis unit, based on gestational syphilis data reported in the Notifiable Diseases Information System (SINAN), from 2011 to 2020. Thematic maps were built for spatial data analysis, and the Prais-Winsten autoregressive model was used to verify the trend. Spatial analysis identified the distribution of clusters (high-high; low-low; high-low and low-high) of distribution of GS across Brazilian municipalities, using a 5% significance level.

resultsGestational syphilis experienced a considerable increase in cases during the studied period, with a peak of 37,436 cases in 2018. The spatial distribution of the disease is heterogeneous in the country. A growing trend was observed in all states of Brazil, except for Espírito Santo, where it remained stationary, with a monthly variation of 10.32%.

conclusionThe spatial and temporal trend analysis point to syphilis as an important public health problem. The numbers are alarming and show the urgent need for measures to prevent and control syphilis during pregnancy.

Indexed as

Pregnancy Complications, InfectiousSyphilisBrazilFemaleHumansPregnancySpatial AnalysisSpatio-Temporal AnalysisGestational syphilisPregnant womenSexually transmitted diseasesSyphilis

Identifiers

PMID38992653
PMCPMC11241899

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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.