Evidence map›Paper›PMID 41632718›Full record

ArticlePloS one2026

Spatial analysis of mortality due to congenital syphilis in Brazil from 2008 to 2022.

Yago Tavares Pinheiro, Richardson Augusto Rosendo da Silva, Ketyllem Tayanne da Silva Costa, Angelo Giuseppe Roncalli da Costa Oliveira, Janmilli Dantas da Costa, Cristiane da Silva Ramos Marinho, Jurandir Alves de Freitas Filho, Luennia Kerlly Alves Rocha, Victória Sampaio Moreira, Ruan Carlos de Queiroz Monteiro and 1 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Yago Tavares PinheiroDepartment of Public Health, Federal University of Rio Grande do Norte, Natal, Brazil.
Richardson Augusto Rosendo da SilvaDepartment of Public Health, Federal University of Rio Grande do Norte, Natal, Brazil.
Ketyllem Tayanne da Silva CostaDepartment of Public Health, Federal University of Rio Grande do Norte, Natal, Brazil.ORCID https://orcid.org/0000-0003-0304-2639
Angelo Giuseppe Roncalli da Costa OliveiraDepartment of Public Health, Federal University of Rio Grande do Norte, Natal, Brazil.
Janmilli Dantas da CostaFaculty of Health Science of Trairí, Federal University of Rio Grande do Norte, Natal, Brazil.
Cristiane da Silva Ramos MarinhoFaculty of Health Science of Trairí, Federal University of Rio Grande do Norte, Natal, Brazil.
Jurandir Alves de Freitas FilhoCentro Universitário Santa Maria, Cajazeiras, Paraíba, Brazil.
Luennia Kerlly Alves RochaCentro Universitário Santa Maria, Cajazeiras, Paraíba, Brazil.
Victória Sampaio MoreiraCentro Universitário Santa Maria, Cajazeiras, Paraíba, Brazil.
Ruan Carlos de Queiroz MonteiroCentro Universitário Santa Maria, Cajazeiras, Paraíba, Brazil.
José Rebberty Rodrigo HolandaEscola Multicampi de Ciências Médicas do Rio Grande do Norte, Federal University of Rio Grande do Norte, Natal, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study is to analyze spatial distribution of mortality due to congenital syphilis in Brazil from 2008 to 2022. This is an ecological study that considered congenital syphilis deaths reported in all Brazilian municipalities, from 2008 to 2022, available in the Brazilian government's information systems. We built a thematic map to describe the distribution of congenital syphilis mortality in the country and, subsequently, applied the Local Index Spatial Analysis to identify possible spatial clusters. Finally, we used the Ordinary Least Squares and Geographically Weighted Regression models to identify mortality predictors in the territory. The mortality rate from congenital syphilis was 0.64 deaths per 1,000 live births. The distribution of deaths occurred heterogeneously, with the highest rates in the states of Pará, Acre, Rondônia, Rio de Janeiro and part of Amazonas. We identified statistically significant spatial clusters across the country, with the formation of clusters with a high-high pattern in Pará, Rio de Janeiro, and Mato Grosso (p < 0.05). We observed that the Gini index (p = 0.008; 95% Confidence Interval: 0.02-0.11), the number of nurses in primary care (p = 0.027; 95% Confidence Interval: 0.0005-0.00003) and the proportion of non-treponemal tests by pregnant women (p = 0.016; 95% Confidence Interval: 0.005-0.001) are variables that influence the occurrence of deaths. Congenital syphilis deaths in Brazil occur heterogeneously, with different rates between regions, which are geographically influenced by social and healthcare characteristics of the location.

Indexed as

Syphilis, CongenitalBrazilFemaleHumansPregnancySpatial Analysis

Identifiers

PMID41632718
PMCPMC12867209

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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.