Evidence map›Paper›PMID 37575963›Full record

ArticleLancet regional health. Americas2023

Estimating the real burden of gestational syphilis in Brazil, 2007-2018: a Bayesian modeling study.

Guilherme Lopes de Oliveira, Andrêa J F Ferreira, Carlos Antônio de S S Teles, Enny S Paixao, Rosemeire Fiaccone, Raquel Lana, Rosana Aquino, Andrey Moreira Cardoso, Maria Auxiliadora Soares, Idália Oliveira Dos Santos and 3 more

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 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

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
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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

13 authors.

Guilherme Lopes de OliveiraCentre of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fiocruz, Salvador, Bahia, Brazil.
Andrêa J F FerreiraCentre of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fiocruz, Salvador, Bahia, Brazil.
Carlos Antônio de S S TelesCentre of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fiocruz, Salvador, Bahia, Brazil.
Enny S PaixaoCentre of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fiocruz, Salvador, Bahia, Brazil.
Rosemeire FiacconeCentre of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fiocruz, Salvador, Bahia, Brazil.
Raquel LanaCentre of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fiocruz, Salvador, Bahia, Brazil.
Rosana AquinoCentre of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fiocruz, Salvador, Bahia, Brazil.
Andrey Moreira CardosoNational School of Public Health, Fiocruz, Rio de Janeiro, Rio de Janeiro, Brazil.
Maria Auxiliadora SoaresCentre of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fiocruz, Salvador, Bahia, Brazil.
Idália Oliveira Dos SantosCentre of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fiocruz, Salvador, Bahia, Brazil.
Marcos PereiraCentre of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fiocruz, Salvador, Bahia, Brazil.
Maurício L BarretoCentre of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fiocruz, Salvador, Bahia, Brazil.
Maria Yury IchiharaCentre of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fiocruz, Salvador, Bahia, Brazil.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: Although several studies have estimated gestational syphilis (GS) incidence in several countries, underreporting correction is rarely considered. This study aimed to estimate the level of under-registration and correct the GS incidence rates in the 557 Brazilian microregions. Methods: Brazilian GS notifications between 2007 and 2018 were obtained from the SINAN-Syphilis system. A cluster analysis was performed to group microregions according to the quality of GS notification. A Bayesian hierarchical Poisson regression model was applied to estimate the reporting probabilities among the clusters and to correct the associated incidence rates. Findings: We estimate that 45,196 (90%-HPD: 13,299; 79,310) GS cases were underreported in Brazil from 2007 to 2018, representing a coverage of 87.12% (90%-HPD: 79.40%; 95.83%) of registered cases, where HPD stands for the Bayesian highest posterior density credible interval. Underreporting levels differ across the country, with microregions in North and Northeast regions presenting the highest percentage of missed cases. After underreporting correction, Brazil's estimated GS incidence rate increased from 8.74 to 10.02 per 1000 live births in the same period. Interpretation: Our findings highlight disparities in the registration level and incidence rate of GS in Brazil, reflecting regional heterogeneity in the quality of syphilis surveillance, access to prenatal care, and childbirth assistance services. This study provides robust evidence to enhance national surveillance systems, guide specific policies for GS detection disease control, and potentially mitigate the harmful consequences of mother-to-child transmission. The methodology might be applied in other regions to correct disease underreporting. Funding: National Council for Scientific and Technological Development; The Bill Melinda Gates Foundation and Wellcome Trust.

Indexed as

Sexual transmitted infectionSyphilisSyphilis during pregnancyUnder-registrationUnderreporting

Identifiers

PMID37575963
PMCPMC10415804

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LicenceCC BY
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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.