Evidence map›Paper›PMID 35640704›Full record

ArticleAmerican journal of obstetrics and gynecology2022

Impact of COVID-19 disease and COVID-19 vaccination on maternal or fetal inflammatory response, placental pathology, and perinatal outcomes.

Rupsa C Boelig, Zubair H Aghai, Sidhartha Chaudhury, Adina S Kazan, Joanna S Y Chan, Elke Bergmann-Leitner

Abstract readLetter
In one paragraph

Article in American journal of obstetrics and gynecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
–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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Article
  5. The Effectiveness and Influence of COVID-19 Vaccination on Perinatal Individuals and Their Newborns: An Updated Meta-Analysis.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
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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

6 authors.

Rupsa C BoeligDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA; Department of Clinical Pharmacology and Experimental Therapeutics, Sidney Kimmel Medical College, Thomas Jefferson University, 833 Chestnut St, Level 1, Philadelphia, PA 19107. Electronic address: Rupsa.boelig@jefferson.edu.
Zubair H AghaiDivision of Neonatology, Department of Pediatrics Nemours, Thomas Jefferson University Hospital, Philadelphia, PA.
Sidhartha ChaudhuryCenter for Enabling Capabilities, Walter Reed Army Institute of Research, Silver Spring, MD.
Adina S KazanSidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA.
Joanna S Y ChanDepartment of Pathology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA.
Elke Bergmann-LeitnerMalaria Biologics Branch, Walter Reed Army Institute of Research, Silver Spring, MD.

Funding

Subproject Title: Clinical Research Education, Mentoring and Career Development CoreU54GM104941 · NIGMS · UNIVERSITY OF DELAWARE · PI Gregory E Hicks · 2013 to 2026
$60.5M
Impact of maternal aspirin therapy on the maternal/fetal unit at delivery: A study of aspirin pharmacokinetics, pharmacodynamics, and pharmacogenomics through pregnancyR21HD101127 · NICHD · THOMAS JEFFERSON UNIVERSITY · PI BOELIG, RUPSA CHAUDHURY · 2020 to 2021
$719k
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19PlacentaCOVID-19 VaccinesFemaleFetusHumansPregnancyVaccinationCOVID-19 Vaccines

Identifiers

PMID35640704
PMCPMC9144840

What OpenQuestion holds

Textmetadata
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.