Evidence map›Paper›PMID 36603011›Full record

ArticlePloS one2023

Monitoring SARS-CoV-2 seroprevalence over time among pregnant women admitted to delivery units: Suitability for surveillance.

Mariana Yumi Miyadahira, Maria de Lourdes Brizot, Neal Alexander, Ester Cerdeira Sabino, Lea Campos de Oliveira da Silva, Mara Sandra Hoshida, Ana Maria da Silva Sousa Oliveira, Ana Claudia Silva Farche, Rossana Pulcineli Vieira Francisco, Philippe Mayaud

Open access · goldAbstract read
PubMed Publisher
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

10 authors at 3 institutions in 2 countries.

Mariana Yumi MiyadahiraDisciplina de Obstetrícia, Departamento de Obstetrícia e Ginecologia da Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil.ORCID 0000-0002-8475-5085
Maria de Lourdes BrizotDisciplina de Obstetrícia, Departamento de Obstetrícia e Ginecologia da Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil.
Neal AlexanderFaculty of Epidemiology & Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Ester Cerdeira SabinoDepartamento de Moléstias Infecciosas e Parasitárias, Instituto de Medicina Tropical da FMUSP, São Paulo, Brazil.ORCID 0000-0003-2623-5126
Lea Campos de Oliveira da SilvaLaboratório de Medicina Laboratorial-LIM 03, Hospital das Clínicas da FMUSP, São Paulo, Brazil.
Mara Sandra HoshidaDisciplina de Obstetrícia, Departamento de Obstetrícia e Ginecologia da Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil.
Ana Maria da Silva Sousa OliveiraDisciplina de Obstetrícia, Departamento de Obstetrícia e Ginecologia da Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil.
Ana Claudia Silva FarcheDisciplina de Obstetrícia, Departamento de Obstetrícia e Ginecologia da Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil.
Rossana Pulcineli Vieira FranciscoDisciplina de Obstetrícia, Departamento de Obstetrícia e Ginecologia da Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil.ORCID 0000-0002-9981-8069
Philippe MayaudFaculty of Infectious & Tropical Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRLondon School of Hygiene & Tropical Medicine · GBHospital Universitário da Universidade de São Paulo · BR

Funding

Medical Research Council MR/R010161/1
6 · The paper itself

Abstract

objectivesTo determine SARS-CoV-2 seroprevalence over time and risk factors among pregnant women at delivery in São Paulo, Brazil; and to evaluate the suitability of pregnant women as a sentinel population for SARS-CoV-2 serosurveillance.

methodsUnselected consecutive pregnant women presenting at the labor ward of a single large hospital between July 20th 2020 to February 21st 2021 were enrolled and tested for SARS-CoV-2 serology using two assays: the rapid chromatic Wondfo One Step (for total IgA and IgG detection) and Roche Elecsys assay (detecting anti-nucleoprotein [N] IgG). SARS-CoV-2 seroprevalence was computed as smooth spline function over time with 95% confidence intervals (CI). Risk factors were evaluated for positivity by each assay. We compared timepoint seroprevalence by the two assays with four concomitant community household surveys (HHS), in which the Roche assay was used, to determine the sensitivity and relevance of the pregnant women population as sentinel population.

resultsOverall SARS-CoV-2 seroprevalence was 28.9% (221/763) by Roche and 17.9% (137/763) by Wondfo. Reported symptoms experienced during pregnancy were all significantly correlated with being SARS-CoV-2 seropositive at delivery with any assay (with odds-ratios ranging from 3.0 [95% CI: 2.1-4.3] for coryza to 22.8 [95% CI: 12.3-46.6] for ageusia). Seropositivity by either assay was high in women at delivery in the early period of the pandemic (June 2020), compared with seropositivity in women from the concomitant HHS: 44.1% (95% CI: 21.8-66.4) for Roche, 54.1% (30.9-78.5) for Wondfo, versus 11.4% (95% CI: 9.2-13.6) for HHS. For later periods (October 2020 and January 2021), the seropositivity in women at delivery measured by Roche corresponded well with the prevalence found among women in the HHS using the same assay, whilst prevalence measured by Wondfo dropped.

conclusionsWomen at delivery represent a highly exposed and readily accessible population for sentinel surveillance of emerging infections such as SARS-CoV-2.

Indexed as

COVID-19SARS-CoV-2Antibodies, ViralBrazilFemaleHumansImmunoglobulin GPregnancyPregnant PeopleSeroepidemiologic StudiesAntibodies, ViralImmunoglobulin G

Identifiers

PMID36603011
OpenAlexW4313534873

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.