Evidence map›Paper›PMID 38528518›Full record

ArticleVirology journal2024

Mendelian randomization analysis reveals causal relationship between obstetric-related diseases and COVID-19.

Yan Fang, Dajun Fang

Abstract read
In one paragraph

Article in Virology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Observational
  2. Review
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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

2 authors.

Yan FangDepartment of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, No 9 Jinsui Road, Tianhe District, Guangzhou, Guangdong Province, 510623, People's Republic of China.
Dajun FangDepartment of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, No 9 Jinsui Road, Tianhe District, Guangzhou, Guangdong Province, 510623, People's Republic of China. fangdajun017@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral observational studies demonstrated that pregnant individuals with COVID-19 had a higher risk of preeclampsia and preterm birth. We aimed to determine whether women with COVID-19 diagnosis had adverse pregnancy outcomes.

methodsA two-sample Mendelian randomization (MR) analysis in this study was used to evaluate the casual relationships between COVID-19 infection and obstetric-related diseases based on genome-wide association studies (GWAS) dataset. Inverse-variance weighted (IVW), MR-Egger and MR-PRESSO were used to infer the connection and estimate the pleiotropy respectively.

resultsThe significant connection was observed between COVID-19 and placental disorders with beta

conclusionThere was no direct causal relationship between COVID-19 infection and maternal and neonatal poor outcomes. Our study could alleviate the anxiety of pregnant women under the COVID-19 pandemic conditions partly.

Indexed as

COVID-19Premature BirthCOVID-19 TestingFemaleGenome-Wide Association StudyHumansInfant, NewbornMendelian Randomization AnalysisPandemicsPlacentaPregnancyCOVID-19Obstetric-related diseasesPlacental disordersPoor outcomes

Identifiers

PMID38528518
PMCPMC10964700

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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.