Evidence map›Paper›PMID 37217271›Full record

ArticleBMJ open2023

Prevalence and impact of SARS-CoV-2 infection on maternal and infant health in African populations: protocol of a multicentre prospective cohort study (MA-CoV project).

Antía Figueroa-Romero, Anete Mendes, Ghyslain Mombo-Ngoma, Johannes Mischlinger, Meral Esen, Michael Vogler, Maura Mazuze, Lionel Mombo-Nzamba, Benjamin Mbadinga, Sergi Sanz and 5 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05303168 (Prevalence and Impact of SARS-CoV-2 Infection on Maternal and Infant Health in African Populations), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 25% 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.

NCT05303168 completednot on this map

Prevalence and Impact of SARS-CoV-2 Infection on Maternal and Infant Health in African Populations (MA-CoV)

Typeobservational_patient_registrySponsorBarcelona Institute for Global HealthRan2021 to 2024Enrolled1,000ConditionsSARS-CoV2 Infection, COVID-19
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

15 authors at 5 institutions in 5 countries.

Antía Figueroa-RomeroMaternal, Child and Reproductive Health Initiative, Barcelona Institute for Global Health, Barcelona, Spain.ORCID 0000-0003-4682-1421
Anete MendesCentro de Investigação em Saúde de Manhiça, Manhiça, Mozambique.
Ghyslain Mombo-NgomaCentre de Recherches Médicales de Lambaréné, Lambaréné, Gabon.ORCID 0000-0003-2658-8706
Johannes MischlingerDepartment of Tropical Medicine, Bernhard Nocht Institute of Tropical Medicine, Hamburg, Germany.
Meral EsenUniversity of Tübingen, Tubingen, Germany.
Michael VoglerCentre de Recherches Médicales de Lambaréné, Lambaréné, Gabon.
Maura MazuzeCentro de Investigação em Saúde de Manhiça, Manhiça, Mozambique.
Lionel Mombo-NzambaCentre de Recherches Médicales de Lambaréné, Lambaréné, Gabon.
Benjamin MbadingaCentre de Recherches Médicales de Lambaréné, Lambaréné, Gabon.
Sergi SanzMaternal, Child and Reproductive Health Initiative, Barcelona Institute for Global Health, Barcelona, Spain.
Michael RamharterDepartment of Tropical Medicine, Bernhard Nocht Institute of Tropical Medicine, Hamburg, Germany.
Francisco SauteCentro de Investigação em Saúde de Manhiça, Manhiça, Mozambique.
Tacilta NhampossaCentro de Investigação em Saúde de Manhiça, Manhiça, Mozambique.
Clara MenendezMaternal, Child and Reproductive Health Initiative, Barcelona Institute for Global Health, Barcelona, Spain.
Raquel GonzálezMaternal, Child and Reproductive Health Initiative, Barcelona Institute for Global Health, Barcelona, Spain raquel.gonzalez@isglobal.org.ORCID 0000-0001-5487-801X
Manhiça Health Research Centre · MZCentre de Recherche Médicales de Lambaréné · GABarcelona Institute for Global Health · ESGerman Center for Infection Research · DEUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPregnant women are currently considered a vulnerable population to SARS-CoV-2 infection, with increased risk of severe COVID-19, preterm birth and maternal mortality. There is, however, a paucity of data on the burden of maternal SARS-CoV-2 infection in sub-Saharan countries. The objective of this study is to determine the prevalence and health effects of maternal SARS-CoV-2 infection in selected sites from Gabon and Mozambique. METHODS AND ANALYSIS: MA-CoV (MAternal CoVid) is an observational, multicentre prospective cohort study where 1000 pregnant women (500 per country) will be enrolled at the antenatal clinic visits. Participants will undergo monthly follow-up at each antenatal care visit, delivery and postpartum visit. The primary study outcome is the prevalence of SARS-CoV-2 infection during pregnancy. The clinical presentation of COVID-19 in pregnancy will also be characterised, and incidence of infection during pregnancy will be evaluated, as well as the risk factors of maternal and neonatal morbidity and mortality associated with SARS-CoV-2 infection and the risk of mother to child transmission of SARS-CoV-2. SARS-CoV-2 infection screening will be performed through PCR diagnosis. ETHICS AND DISSEMINATION: The protocol was reviewed and approved by the TRIAL REGISTRATION NUMBER: NCT05303168.

Indexed as

COVID-19Pregnancy Complications, InfectiousPremature BirthChildCyclohexanesFemaleHumansInfantInfant HealthInfant, NewbornInfectious Disease Transmission, VerticalMulticenter Studies as TopicPregnancyPrevalenceProspective StudiesSARS-CoV-2CyclohexanesOmiteCOVID-19EpidemiologyHIV & AIDSMaternal medicine

Identifiers

PMID37217271
PMCPMC10230341
OpenAlexW4377291768

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.