Evidence map›Paper›PMID 39848480›Full record

ArticleAnnals of epidemiology2025

Associations of pregnancy timing relative to the COVID-19 pandemic, maternal SARS-CoV-2 infection, and adverse perinatal outcomes.

Maria Sevoyan, Jihong Liu, Yi-Wen Shih, Peiyin Hung, Jiajia Zhang, Xiaoming Li

Abstract read
In one paragraph

Article in Annals of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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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

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

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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

6 authors.

Maria SevoyanDepartment of Epidemiology and Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, SC, USA. Electronic address: mariasevoyan@gmail.com.
Jihong LiuDepartment of Epidemiology and Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, SC, USA; South Carolina SmartState Center for Healthcare Quality, Columbia, SC, USA. Electronic address: jliu@mailbox.sc.edu.
Yi-Wen ShihDepartment of Health Services Policy and Management, University of South Carolina Arnold School of Public Health, Columbia, SC, USA. Electronic address: xnu7@cdc.gov.
Peiyin HungSouth Carolina SmartState Center for Healthcare Quality, Columbia, SC, USA; Department of Health Services Policy and Management, University of South Carolina Arnold School of Public Health, Columbia, SC, USA. Electronic address: hungp@mailbox.sc.edu.
Jiajia ZhangDepartment of Epidemiology and Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, SC, USA; South Carolina SmartState Center for Healthcare Quality, Columbia, SC, USA. Electronic address: jzhang@mailbox.sc.edu.
Xiaoming LiSouth Carolina SmartState Center for Healthcare Quality, Columbia, SC, USA; Department of Health Promotion, Education and Behavior, University of South Carolina Arnold School of Public Health, Columbia, SC, USA. Electronic address: xiaoming@mailbox.sc.edu.

Funding

Multilevel Determinants of Racial and Ethnic Disparities in Maternal Morbidity and Mortality in the Context of COVID-19 PandemicR01AI127203 · NIAID · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI LI, XIAOMING, LIU, JIHONG · 2017 to 2021
$5.2M
Mitigating effects of telehealth uptake on disparities in maternal care access, quality, outcomes, and expenditures during the COVID-19 pandemicU01HD110062 · NICHD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI Peiyin Hung, Xiaoming Li · 2022 to 2026
$3.2M
NIAID NIH HHS R01 AI127203NICHD NIH HHS U01 HD110062
6 · The paper itself

Abstract

purposeTo examine associations between pregnancy timing relative to the COVID-19 pandemic, maternal SARS-CoV-2 infection, and perinatal outcomes.

methodsWe conducted a retrospective cohort study of 189,097 singleton births in South Carolina (2018-2021). Pregnancy timing relative to the pandemic was classified as pre-pandemic (delivered before March 1, 2020), partial pandemic overlap (conceived before and delivered during the pandemic), or pandemic (conceived and delivered during the pandemic). We examined COVID-19 testing, severity, and timing. Modified Poisson regression models with robust variance were used.

resultsCompared to the pre-pandemic group, the partial overlap group had lower risks of low birthweight (LBW) (aRR=0.93, 95 % CI 0.89-0.97) and preterm birth (PTB) (aRR=0.91, 95 % CI 0.88-0.95). The pandemic group had increased risks of LBW (aRR=1.10, 95 % CI 1.06-1.14), PTB (aRR=1.10, 95 % CI 1.07-1.14), and NICU admissions (aRR=1.13, 95 % CI 1.09-1.17) but a decreased risk of breastfeeding initiation (aRR=0.98, 95 % CI 0.97-0.98). Moderate-to-severe COVID-19 symptoms increased PTB (aRR=1.34, 95 % CI 1.13-1.58). Third-trimester COVID-19 infection increased LBW (aRR=1.23, 95 % CI 1.10-1.37), PTB (aRR=1.18, 95 % CI 1.07-1.30), and NICU admissions (aRR=1.17, 95 % CI 1.05-1.30).

conclusionsOur findings highlight the importance of considering both maternal COVID-19 infection and pandemic-related factors in optimizing perinatal outcomes.

Indexed as

COVID-19Pregnancy Complications, InfectiousPregnancy OutcomePremature BirthAdultFemaleHumansInfant, Low Birth WeightInfant, NewbornPandemicsPregnancyRetrospective StudiesSARS-CoV-2South CarolinaTime FactorsYoung AdultBreastfeeding initiationCoronaviruslow birthweightNICU admissionperinatal outcomespreterm birth

Identifiers

PMID39848480
PMCPMC13064839

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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.