Evidence map›Paper›PMID 39413531›Full record

ArticlePregnancy hypertension2024

Maternal characteristics impact the relationship between fetal sex and superimposed preeclampsia.

Akaninyene I Noah, Camillia R Comeaux, Ashley V Hill, Maria J Perez-Patron, Brandie DePaoli Taylor

Abstract read
In one paragraph

Article in Pregnancy hypertension, 2024. 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. 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

5 authors.

Akaninyene I NoahAdvocate Aurora Research Institute, Milwaukee, WI, USA.
Camillia R ComeauxInstitute of Public Health, Florida A&M University, Tallahassee, FL, USA.
Ashley V HillDivision of Community Health Sciences, University of Illinois, Chicago, IL, USA.
Maria J Perez-PatronSchool of Public Health, Department of Epidemiology and Biostatistics, Texas A&M University, College Station, TX, USA.
Brandie DePaoli TaylorAdvocate Aurora Research Institute, Milwaukee, WI, USA; Department of Obstetrics and Gynecology, University of Texas Medical Branch-Galveston, Galveston, TX, USA. Electronic address: brandie.taylor@aah.org.

Funding

Immune activating syncytiotrophoblast microvesicles and danger associated molecular patterns in preeclampsia riskR01AI141501 · NIAID · UNIVERSITY OF TEXAS MED BR GALVESTON · PI SHARMA, SURENDRA · 2019 to 2023
$2.8M
NIAID NIH HHS R01 AI141501
6 · The paper itself

Abstract

objectivesAssociations between female fetal sex and preeclampsia occurring preterm have been reported but data is inconsistent across populations. We explored if the relationship between fetal sex and various hypertensive disorders of pregnancy (HDP) is modified by maternal characteristics. STUDY

designWe conducted a retrospective cohort study analyzing data from 43,737 singleton pregnancies. A modified Poisson regression model with robust error variance was used to calculate relative risk (RR) and 95% confidence intervals (CI) for the association between female fetal sex and HDP.

main outcome measuresModels were adjusted for maternal age, smoking, body mass index, and gravidity. Relative excess risk due to interaction examined interaction between maternal characteristics and female fetal sex, on risk of HDP.

resultsFemale fetal sex was marginally associated with superimposed preeclampsia (RR

conclusionsFemale fetuses may respond differently to underlying maternal characteristics influencing risk of superimposed preeclampsia, but no other associations were observed.

Indexed as

Maternal AgePre-EclampsiaAdultFemaleHumansMaleParityPregnancyRetrospective StudiesRisk FactorsSex FactorsYoung AdultHypertensive disordersPreeclampsiaSex-differences

Identifiers

PMID39413531
PMCPMC11751948

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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.