Evidence map›Paper›PMID 36016090›Full record

ArticleVaccines2022

The Effect of Being Pregnant during Respiratory Pandemics: A Comparison between 2009/10 Flu and 2020/21 COVID-19 Pandemic in Brazil.

Ana Beatrice Bonganha Zanon, Elias Ribeiro Rosa Júnior, Nátaly Adriana Jiménez Monroy, Luciana Graziela de Godoi, Bruna Rodrigues de Mattos, Cristiane de Freitas Paganoti, Rossana Pulcineli Vieira Francisco, Agatha Sacramento Rodrigues, Rafaela Alkmin da Costa

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2022. 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 88% 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

9 authors at 2 institutions in 1 country.

Ana Beatrice Bonganha ZanonDivisão de Clinica Obstetrica, Hospital das Clinicas HCFMUSP, Faculdade de Medicina da Universidade de São Paulo, 255 Dr. Eneas Carvalho de Aguiar Avenue, 10th Floor, São Paulo 05403-000, Brazil.
Elias Ribeiro Rosa JúniorDepartamento de Estatística, Universidade Federal do Espírito Santo, 514 Fernando Ferrari Avenue, Goiabeira, Vitória 29075-910, Brazil.
Nátaly Adriana Jiménez MonroyDepartamento de Estatística, Universidade Federal do Espírito Santo, 514 Fernando Ferrari Avenue, Goiabeira, Vitória 29075-910, Brazil.ORCID 0000-0003-4593-9479
Luciana Graziela de GodoiDepartamento de Estatística, Universidade Federal do Espírito Santo, 514 Fernando Ferrari Avenue, Goiabeira, Vitória 29075-910, Brazil.ORCID 0000-0002-1681-0281
Bruna Rodrigues de MattosDepartamento de Estatística, Universidade Federal do Espírito Santo, 514 Fernando Ferrari Avenue, Goiabeira, Vitória 29075-910, Brazil.
Cristiane de Freitas PaganotiDivisão de Clinica Obstetrica, Hospital das Clinicas HCFMUSP, Faculdade de Medicina da Universidade de São Paulo, 255 Dr. Eneas Carvalho de Aguiar Avenue, 10th Floor, São Paulo 05403-000, Brazil.
Rossana Pulcineli Vieira FranciscoDisciplina de Obstetrícia, Departamento de Obstetrícia e Ginecologia, Hospital das Clinicas HCFMUSP, Faculdade de Medicina da Universidade de São Paulo, São Paulo 05403-000, Brazil.ORCID 0000-0002-9981-8069
Agatha Sacramento RodriguesDepartamento de Estatística, Universidade Federal do Espírito Santo, 514 Fernando Ferrari Avenue, Goiabeira, Vitória 29075-910, Brazil.
Rafaela Alkmin da CostaDivisão de Clinica Obstetrica, Hospital das Clinicas HCFMUSP, Faculdade de Medicina da Universidade de São Paulo, 255 Dr. Eneas Carvalho de Aguiar Avenue, 10th Floor, São Paulo 05403-000, Brazil.ORCID 0000-0001-8828-6725
Universidade Federal do Espírito Santo · BRHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BR

Funding

Bill & Melinda Gates Foundation INV-027961Bill & Melinda Gates Foundation INV-027961Fundação de Amparo à Pesquisa do Espírito Santo 007/2021National Council for Scientific and Technological Development 445881/2020-8
6 · The paper itself

Abstract

Pregnant women undergo physiological changes that make them a challenging group of patients during pandemic respiratory diseases, as previously found during H1N1 2009 pandemic and recently ratified in COVID-19 pandemic. We conducted a retrospective cohort analysis on 5888 hospitalized women for H1N1 flu pandemic (2190 pregnant and 3698 non-pregnant) and 64,515 hospitalized women for COVID-19 pandemic (5151 pregnant and 59,364 non-pregnant), from the Brazilian national database, to compare demographic profile, clinical aspects, and mortality in childbearing aged women during both pandemics. Additionally, the effect of being pregnant was compared between both pandemics. In both pandemics, pregnant women were younger than non-pregnant women. Overall, pregnant women had lower frequencies of comorbidities and were less symptomatic. Among hospitalized women, pregnant women presented lower mortality rates than non-pregnant women (9.7% vs. 12.6%, p = 0.002 in the H1N1 pandemic and 9.7% vs. 17.4%, p < 0.001 in the COVID-19 pandemic) and this difference was statistically more pronounced in the COVID-19 pandemic, even after balancing pregnant and non-pregnant groups regarding age and chronic diseases.

Indexed as

COVID-19H1N1 subtypeInfluenza A virusmortalitypregnancy

Identifiers

PMID36016090
PMCPMC9415943
OpenAlexW4288717443

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.