Evidence map›Paper›PMID 30789909›Full record

ArticlePLoS neglected tropical diseases2019

Mother-to-child transmission and gestational syphilis: Spatial-temporal epidemiology and demographics in a Brazilian region.

Joyce Marinho de Souza, Rogério Giuffrida, Ana Paula Marques Ramos, Glilciane Morceli, Camila H Coelho, Marcus Vinícius Pimenta Rodrigues

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 38 citations in OpenAlex.

  1. Spatiotemporal trends and determinants of syphilis among heterosexual males and females in the Netherlands, 2011 to 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
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  9. Brain diseases in changing climate.Environmental research · 2019
    Review
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

6 authors at 2 institutions in 2 countries.

Joyce Marinho de SouzaFaculdade de Ciências da Saúde, Biomedicina, Universidade do Oeste Paulista, Presidente Prudente, SP, Brazil.ORCID 0000-0003-4405-2534
Rogério GiuffridaPrograma de pós-graduação em Meio Ambiente e Desenvolvimento Regional, Universidade do Oeste Paulista, Presidente Prudente, SP, Brazil.
Ana Paula Marques RamosPrograma de pós-graduação em Meio Ambiente e Desenvolvimento Regional, Universidade do Oeste Paulista, Presidente Prudente, SP, Brazil.
Glilciane MorceliFaculdade de Ciências da Saúde, Biomedicina, Universidade do Oeste Paulista, Presidente Prudente, SP, Brazil.
Camila H CoelhoLaboratory of Malaria Immunology and Vaccinology, DIR, NIAID, NIH, Bethesda, MD, United States of America.ORCID 0000-0002-7885-9996
Marcus Vinícius Pimenta RodriguesFaculdade de Ciências da Saúde, Biomedicina, Universidade do Oeste Paulista, Presidente Prudente, SP, Brazil.ORCID 0000-0002-3997-369X
Universidade do Oeste Paulista · BRNational Institutes of Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Syphilis is a Sexually Transmitted Infection (IST) with significant importance to public health, due to its impact during pregnancy (Gestational Syphilis-GS); especially because syphilis can affect fetus and neonates' development (mother-to-child transmission-MTCT of syphilis), by increasing susceptibility to abortion, premature birth, skeletal malformations, meningitis and pneumonia. Measures to control and eliminate MTCT of syphilis have failed on the last few years in Brazil and this research aimed to identify the seasonality of notified cases of syphilis in a region of São Paulo state. The studied region, Pontal do Paranapanema, comprises 32 cities located in the West of São Paulo state, in Brazil. Data collected from the National System of Aggravations and Notification (SINAN) website was used to calculate the incidence rate of GS and MTCT. The incidence rate of GS was acquired dividing number of cases by number of women in each municipality and MTCT using number of live births in each year (from 2007 to 2013) in each municipality. This result was then, standardized multiplying incidence rate by 10,000 and expressed as incidence/10,000 women or live births, for GS and MTCT, respectively. To identify possible endemic/epidemic periods, a control diagram was performed using the standard deviation (SD) of incidence rate. Thematic maps representing the spatial distribution of incidence rates were constructed using a Geographic Information System software (GIS, based on cartographic vector available on the Brazilian Institute of Geography and Statistics (IBGE) website. Eighty cases of GS and 61 cases of MTCT were notified in the studied region. An increase of GS notification was detected in the Pontal do Paranapanema in 2011 followed by an increase in number of MTCT cases in the subsequent year, suggesting inefficacy in the treatment during gestational period. Most of those cases were reported on February and November which suggested seasonality for this IST in the region. The control diagram, based on the inputs collected from SINAN, showed no endemic period; however, the most susceptible month to happen an endemic event of GS and MTCT was February. Our study provided a new methodology to understand the syphilis dynamics as a potential tool to improve the success of future measures to control and possibly eliminate MTCT of syphilis.

Indexed as

Infectious Disease Transmission, VerticalBrazilFemaleHumansIncidenceInfant, NewbornMalePregnancyPregnancy Complications, InfectiousSeasonsSyphilisSyphilis, Congenital

Identifiers

PMID30789909
PMCPMC6383870
OpenAlexW2918132080

What OpenQuestion holds

Textmetadata
LicenceCC0
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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.