Evidence map›Paper›PMID 37466595›Full record

Observational studyRevista da Associacao Medica Brasileira (1992)2023

Screening for coronavirus disease 2019 in pregnant women admitted for delivery: an observational study.

Ana Nery Melo Cavalcante, Rosa Lívia Freitas de Almeida, Denise Nunes Oliveira, Danielle Malta Lima, Candice Torres de Melo Bezerra Cavalcante, Lohanna Valeska de Sousa Tavares, Renata Parente Almeida, Rosângela Pinheiro Gonçalves Machado, Edward Araujo Júnior, Marcelo Borges Cavalcante

Open access · diamondAbstract readObservational Study
In one paragraph

Observational study in Revista da Associacao Medica Brasileira (1992), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 84% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 country.

Ana Nery Melo CavalcanteGonzaga Mota of Messejana Hospital, Department of Obstetrics and Neonatology - Fortaleza (CE), Brazil.ORCID http://orcid.org/0000-0002-3830-7767
Rosa Lívia Freitas de AlmeidaUniversidade de Fortaleza, Public Health Postgraduate Program - Fortaleza (CE), Brazil.ORCID http://orcid.org/0000-0001-6423-543X
Denise Nunes OliveiraUniversidade de Fortaleza, Medical Course - Fortaleza (CE), Brazil.ORCID http://orcid.org/0000-0001-8997-3842
Danielle Malta LimaUniversidade de Fortaleza, Medical Course - Fortaleza (CE), Brazil.ORCID http://orcid.org/0000-0002-1899-7238
Candice Torres de Melo Bezerra CavalcanteGonzaga Mota of Messejana Hospital, Department of Obstetrics and Neonatology - Fortaleza (CE), Brazil.ORCID http://orcid.org/0000-0003-2184-1223
Lohanna Valeska de Sousa TavaresGonzaga Mota of Messejana Hospital, Department of Obstetrics and Neonatology - Fortaleza (CE), Brazil.ORCID http://orcid.org/0000-0002-6426-0755
Renata Parente AlmeidaUniversidade de Fortaleza, Speech Therapy Course - Fortaleza (CE), Brazil.ORCID http://orcid.org/0000-0003-1387-9141
Rosângela Pinheiro Gonçalves MachadoGonzaga Mota of Messejana Hospital, Department of Obstetrics and Neonatology - Fortaleza (CE), Brazil.ORCID http://orcid.org/0000-0002-1260-2346
Edward Araujo JúniorUniversidade Federal de São Paulo, Paulista School of Medicine, Department of Obstetrics - São Paulo (SP), Brazil.ORCID http://orcid.org/0000-0002-6145-2532
Marcelo Borges CavalcanteGonzaga Mota of Messejana Hospital, Department of Obstetrics and Neonatology - Fortaleza (CE), Brazil.ORCID http://orcid.org/0000-0001-9943-9731
Universidade de Fortaleza · BRHospital de Messejana · BRUniversidade Municipal de São Caetano do Sul · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to examine the impact of symptom-based screening on the prevalence and outcomes of neonatal coronavirus disease 2019 in pregnant women admitted for delivery.

methodsA retrospective observational study was conducted from June to August 2020 at Gonzaga Mota of Messejana Hospital, Fortaleza, CE, Brazil. All pregnant women were screened for coronavirus disease 2019 based on symptoms. Reverse transcription-polymerase chain reaction or immunology assays for severe acute respiratory syndrome coronavirus 2 were performed when a patient reported a symptom. All newborns of symptomatic patients were submitted for Reverse transcription-polymerase chain reaction. Newborns were divided into groups according to the Reverse transcription-polymerase chain reaction results to identify the relationship between maternal symptoms and neonatal coronavirus disease 2019.

resultsA total of 55 (55/1,026, 5.4%) and 50 (50/1,026, 4.8%) pregnant women reported symptoms and had a positive confirmatory test, respectively. The most common symptom of coronavirus disease 2019 among the pregnant women with positive confirmatory test was cough (n=23, 46%). Seven newborns (7/50, 14%) of symptomatic mothers had positive Reverse transcription-polymerase chain reaction. Upon birth, no newborn had serious complications.

conclusionUniversal screening of pregnant women admitted for delivery can reduce the perinatal transmission of coronavirus disease 2019. Symptom-based screening can be an alternative for regions with a low prevalence of the disease where a better allocation of financial resources is necessary.

Indexed as

COVID-19Pregnancy Complications, InfectiousFemaleHumansInfant, NewbornInfectious Disease Transmission, VerticalPregnancyPregnancy OutcomePregnant PeopleSARS-CoV-2

Identifiers

PMID37466595
PMCPMC10352004
OpenAlexW4384572022

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.