Evidence mapPaperPMID 38810962Full record

Observational studyAmerican journal of perinatology2025

Gestational Weight Gain and Neonatal Biometry during the COVID-19 Pandemic: A Multicenter Observational Cohort.

Mahmoud Abdelwahab, Jessica A de Voest, Torri D Metz, Brenna L Hughes, William A Grobman, George R Saade, Tracy A Manuck, Monica Longo, Hyagriv N Simhan, Dwight J Rouse and 7 more

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in American journal of perinatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
field-weighted citation impact
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

2 citing papers in PubMed.

  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

17 authors.

Mahmoud AbdelwahabDepartments of Obstetrics and Gynecology of The Ohio State University, Columbus, Ohio.
Jessica A de VoestThe George Washington University Biostatistics Center, Washington, District of Columbia.
Torri D MetzDepartment of Obstetrics and Gynecology, University of Utah Health Sciences Center, Salt Lake City, Utah.
Brenna L HughesDepartment of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
William A GrobmanDepartment of Obstetrics and Gynecology, Northwestern University, Chicago, Illinois.
George R SaadeDepartment of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, Texas.
Tracy A ManuckDepartment of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Monica LongoEunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland.
Hyagriv N SimhanDepartment of Obstetrics and Gynecology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Dwight J RouseDepartment of Obstetrics and Gynecology, Brown University, Providence, Rhode Island.
Hector Mendez-FigueroaDepartment of Obstetrics and Gynecology, University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston, Texas.
Cynthia Gyamfi-BannermanDepartment of Obstetrics and Gynecology, Columbia University, New York, New York.
Jennifer L BailitDepartment of Obstetrics and Gynecology, MetroHealth Medical Center, Case Western Reserve University, Cleveland, Ohio.
Maged M CostantineDepartments of Obstetrics and Gynecology of The Ohio State University, Columbus, Ohio.ORCID 0000-0003-4076-469X
Harish M SehdevDepartment of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, Pennsylvania.
Alan T N TitaDepartment of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, Alabama.
Eunice Kennedy Shriver National Institute of Child Health Human Development Maternal-Fetal Medicine Units Network, Bethesda, MD, United States

Funding

MATERNAL FETAL RESEARCH NETWORK: DATA COORDINATING CTRU01HD036801 · GEORGE WASHINGTON UNIVERSITY · 1998 to 2005
$17.2M
MULTICENTER NETWORK OF MATERNAL-FETAL MEDICINE UNITSU10HD034208 · UNIVERSITY OF UTAH · 1996 to 2005
$10.6M
Clinical and Translational Science AwardUL1TR001873 · COLUMBIA UNIVERSITY HEALTH SCIENCES · 2025 to 2025
$10.0M
MULTICENTER NETWORK OF MATERNAL/FETAL MEDICINE UNITSU10HD027869 · UNIVERSITY OF ALABAMA AT BIRMINGHAM · 1991 to 2005
$9.4M
Data Coord Ctr-NICHD Cooperative Multicenter Maternal Medicine Units Research NetU10HD036801 · NICHD · GEORGE WASHINGTON UNIVERSITY · PI Rebecca Gersnoviez Clifton · 2021 to 2021
$7.7M
MULTICENTER NETWORK OF MATERNAL-FETAL MEDICINE UNITSU10HD040485 · COLUMBIA UNIVERSITY HEALTH SCIENCES · 2001 to 2005
$5.0M
MULTICENTER NETWORK OF MATERNAL-FETAL MEDICINE UNITSU10HD027915 · OHIO STATE UNIVERSITY · 1992 to 2005
$4.3M
MULTICENTER NETWORK OF MATERNAL-FETAL MEDICINE UNITSU10HD040560 · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · 2001 to 2005
$4.1M
NICHD Maternal-Fetal Medicine Units (MFMU) Network: Data CoordinatingCenterU24HD036801 · GEORGE WASHINGTON UNIVERSITY · 2025 to 2025
$4.0M
MULTICENTER NETWORK OF MATERNAL-FETAL MEDICINE UNITSU10HD040545 · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · 2001 to 2005
$3.9M
MULTICENTER NETWORK OF MATERNAL-FETAL MEDICINE UNITSU10HD040512 · NORTHWESTERN UNIVERSITY · 2001 to 2005
$3.7M
MULTICENTER NETWORK OF MATERNAL-FETAL MEDICINE UNITSU10HD040544 · CASE WESTERN RESERVE UNIVERSITY · 2001 to 2005
$3.6M
NCATS NIH HHS UL1 TR001873NICHD NIH HHS U01 HD036801NICHD NIH HHS U10 HD027869NICHD NIH HHS U10 HD027915NICHD NIH HHS U10 HD034208NICHD NIH HHS U10 HD036801NICHD NIH HHS U10 HD040485NICHD NIH HHS U10 HD040500NICHD NIH HHS U10 HD040512NICHD NIH HHS U10 HD040544NICHD NIH HHS U10 HD040545NICHD NIH HHS U10 HD040560NICHD NIH HHS U10 HD053097NICHD NIH HHS U24 HD036801NICHD NIH HHS UG1 HD027869NICHD NIH HHS UG1 HD027915NICHD NIH HHS UG1 HD034208NICHD NIH HHS UG1 HD040485NICHD NIH HHS UG1 HD040500NICHD NIH HHS UG1 HD040512NICHD NIH HHS UG1 HD040544NICHD NIH HHS UG1 HD040545NICHD NIH HHS UG1 HD040560NICHD NIH HHS UG1 HD053097NICHD NIH HHS UG1 HD087192NICHD NIH HHS UG1 HD087230NICHD NIH HHS UG1 HD112063
6 · The paper itself

Abstract

objectiveThis study aimed to test the hypothesis that being pregnant and delivering during the coronavirus disease 2019 (COVID-19) pandemic was associated with changes in gestational weight gain (GWG) or frequency of small- (SGA) or large-for-gestational-age (LGA) neonates. STUDY

designSecondary analysis of a multicenter observational cohort comparing pregnant people who delivered during the COVID-19 pandemic (June-December 2020) to people who delivered prior to the pandemic (March-December 2019). Those with multiple gestations, fetuses with major congenital anomalies, implausible GWG values, unavailable body mass index (BMI), or who were severe acute respiratory syndrome coronavirus-2-positive were excluded. The primary outcome was frequency of optimal recommended GWG based on prepregnancy BMI. Neonatal outcomes included birth weight, ponderal index, and frequency of SGA, LGA, and small head circumference for live births. Multivariable regression analysis was used to assess associations between exposure to the pandemic and outcomes.

resultsA total of 10,717 pregnant people were included in our analysis. A total of 4,225 pregnant people were exposed to the pandemic and 6,492 pregnant people delivered prior to the COVID-19 pandemic. Pregnant people exposed to the pandemic were older and more likely to have gestational diabetes. The frequency of appropriate GWG was 28.0% during the pandemic and 27.6% before the pandemic (adjusted odds ratio [aOR]: 1.02, 95% confidence interval [CI]: 0.93-1.11). Excessive GWG was more likely (54.9 vs. 53.1%; aOR: 1.08, 95% CI: 1.001-1.17), and inadequate GWG was less likely during the pandemic (17.0 vs. 19.3%; aOR: 0.86, 95% CI: 0.77-0.95). The frequency of SGA was 5.4% during the pandemic and 6.1% before the pandemic (aOR: 0.90, 95% CI: 0.76-1.06), and the frequency of LGA was 16.0% during the pandemic versus 15.0% before the pandemic (aOR: 1.06, 95% CI: 0.95-1.18). Other neonatal outcomes including birth weight percentile (62.1 [35.8-83.2] vs. 60.2 [34.4-82.2]; adjusted mean difference (aMD) = 1.50, 95% CI: -0.28 to 3.29), ponderal index (2.6 g/cm

conclusionBeing pregnant and delivering during the COVID-19 pandemic was associated with a higher likelihood of excessive GWG and a lower likelihood of inadequate GWG. KEY POINTS: · Delivering during the COVID-19 pandemic was associated with higher likelihood of excessive GWG.. · Delivering during the COVID-19 pandemic was associated with lower likelihood of inadequate GWG.. · COVID-19 pandemic was not associated with changes in frequency of SGA or LGA..

Indexed as

COVID-19Gestational Weight GainInfant, Small for Gestational AgeAdultBirth WeightBody Mass IndexCohort StudiesFemaleFetal MacrosomiaHumansInfant, NewbornPregnancyPregnancy OutcomeSARS-CoV-2

Identifiers

PMID38810962
PMCPMC11666801

What Socratic holds

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Registered trials

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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 Socratic graph.