Evidence map›Paper›PMID 37780194›Full record

ArticleCurrent health sciences journal

Intraplacental Villous Artery Doppler can Improve the Ability to Predict Placenta-Mediated Disease.

Adriana Tudor, Liliana Novac, Ioana Victoria Camen, Maria Magdalena Manolea, Sidonia Catalina Vrabie, Maria Sidonia Sandulescu, Mircea-Sebastian Șerbănescu, Mihail Virgil Boldeanu, Simona Daniela Neamțu, Anca Maria Istrate Ofițeru and 2 more

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Article in Current health sciences journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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–field-weighted citation impact, top 76% of its field
1 · What the graph read from it

What it found

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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

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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

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0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Adriana TudorUniversity of Medicine and Pharmacy of Craiova, Romania.
Liliana NovacUniversity of Medicine and Pharmacy of Craiova, Romania.
Ioana Victoria CamenUniversity of Medicine and Pharmacy of Craiova, Romania.
Maria Magdalena ManoleaUniversity of Medicine and Pharmacy of Craiova, Romania.
Sidonia Catalina VrabieUniversity of Medicine and Pharmacy of Craiova, Romania.
Maria Sidonia SandulescuUniversity of Medicine and Pharmacy of Craiova, Romania.
Mircea-Sebastian ȘerbănescuUniversity of Medicine and Pharmacy of Craiova, Romania.
Mihail Virgil BoldeanuUniversity of Medicine and Pharmacy of Craiova, Romania.
Simona Daniela NeamțuUniversity of Medicine and Pharmacy of Craiova, Romania.
Anca Maria Istrate OfițeruUniversity of Medicine and Pharmacy of Craiova, Romania.
Anda Lorena DijmarescuUniversity of Medicine and Pharmacy of Craiova, Romania.
Marius Bogdan NovacUniversity of Medicine and Pharmacy of Craiova, Romania.
University of Medicine and Pharmacy of Craiova · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveEvaluation of Intraplacental Villous Artery Doppler (IPVA) as a predictive factor compared to umbilical artery (UA) Doppler in placenta-mediated disease (PMD).

methodsThis prospective study included a group of 106 pregnant women, of which 76 patients constituted the PMD group: preeclampsia (PE) and small for gestational age (SGA), and 30 pregnant women constituted the control group. IPVA and UA Doppler evaluation was performed in 2 pregnancy periods: 20.0-23.6 weeks, and 28.0-32.6 weeks of gestation.

resultsFrom the study of maternal characteristics and risk factors for the presented pathology, we found that no studied risk factor was statistically involved in the evolution toward PMD during pregnancy. In the control group, we noticed a decrease in IPVA PI and RI, along with an increase in gestational age, while in the PMD group, these indices increased. Both in the 2nd and the 3rd trimester, we had a significant statistical difference between the two groups (p<0.001). Regarding the degree of prediction of the changes that occurred at this level, we found a good statistical correlation. A higher degree of positive predictability is noted, for IPVA-PI, but also for UA-PI, but with better sensitivity (72.27%) for UA PI in the 2nd trimester.

conclusionsWe can conclude that both Doppler measurements, IPVA and UA can be used to evaluate and detect pregnancy complications that belong to PMD, preeclampsia, and/or fetal growth restriction.

Indexed as

DopplerIPVAPESGAUA

Identifiers

PMID37780194
PMCPMC10541068
OpenAlexW4387242131

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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.