Evidence map›Paper›PMID 36175039›Full record

ArticleBMJ global health2022

Socioeconomic risk markers of congenital Zika syndrome: a nationwide, registry-based study in Brazil.

Enny S Paixão, Qeren Hapuk R Ferreira Fernandes, Luciana L Cardim, Julia M Pescarini, Maria Conceicao N Costa, Ila R Falcão, Elizabeth B Brickley, Andreia Costa Santos, André Portela Souza, Rita de Cassia Oliveira Carvalho-Sauer and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

14 authors at 4 institutions in 2 countries.

Enny S PaixãoDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK enny.cruz@lshtm.ac.uk.
Qeren Hapuk R Ferreira FernandesCenter of Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Brazil.
Luciana L CardimCenter of Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Brazil.
Julia M PescariniDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Maria Conceicao N CostaInstituto de Saude Coletiva, Federal University of Bahia, Salvador, Brazil.
Ila R FalcãoCenter of Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Brazil.
Elizabeth B BrickleyDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0003-0280-2288
Andreia Costa SantosDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
André Portela SouzaSchool of Economics and Center for Applied Microeconomic Studies, Getulio Vargas Foundation, São Paulo, Brazil.
Rita de Cassia Oliveira Carvalho-SauerEast Regional Health Center of the State Health Secretariat of Bahia, Santo Antonio de Jesus, Brazil.
Liam SmeethFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Laura C RodriguesDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Mauricio L BarretoCenter of Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Brazil.
Maria Gloria TeixeiraInstituto de Saude Coletiva, Federal University of Bahia, Salvador, Brazil.
Knowledge Integration (United Kingdom) · GBLondon School of Hygiene & Tropical Medicine · GBUniversidade Federal da Bahia · BRFundação Getulio Vargas · BR

Funding

Wellcome Trust
6 · The paper itself

Abstract

While it is well known that socioeconomic markers are associated with a higher risk of arbovirus infections, research on the relationship between socioeconomic factors and congenital Zika syndrome (CZS) remains limited. This study investigates the relationship between socioeconomic risk markers and live births with CZS in Brazil. We conducted a population-based study using data from all registered live births in Brazil (Live Births Information System) linked with the Public Health Event Record from 1 January 2015 to 31 December 2018. We used logistic regression models to estimate the OR and 95% CIs of CZS based on a three-level framework. In an analysis of 11 366 686 live births, of which 3353 had CZS, we observed that live births of self-identified black or mixed race/brown mothers (1.72 (95% CI 1.47 to 2.01) and 1.37 (95% CI 1.24 to 1.51)) were associated with a higher odds of CZS. Live births from single women compared with married women and those from women with less than 12 years of education compared with those with more than 12 years of education also had higher odds of CZS. In addition, live births following fewer prenatal care appointments had increased odds of CZS in the nationwide data. However, in the analyses conducted in the Northeast region (where the microcephaly epidemic started before the link with Zika virus was established and before preventive measures were known or disseminated), no statistical association was found between the number of prenatal care appointments and the odds of CZS. This study shows that live births of the most socially vulnerable women in Brazil had the greatest odds of CZS. This disproportionate distribution of risk places an even greater burden on already socioeconomically disadvantaged groups, and the lifelong disabilities caused by this syndrome may reinforce existing social and health inequalities.

Indexed as

Zika VirusZika Virus InfectionBrazilFemaleHumansPregnancyRegistriesSocioeconomic Factorsarboviruseschild healthepidemiologypublic health

Identifiers

PMID36175039
PMCPMC9528618
OpenAlexW4298008785

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.