Evidence map›Paper›PMID 37963927›Full record

ArticleScientific reports2023

EG-VEGF maternal levels predict spontaneous preterm birth in the second and third trimesters in pregnant women with risk factors for placenta-mediated complications.

Tiphaine Raia-Barjat, Céline Chauleur, Constance Collet, Florence Rancon, Pascale Hoffmann, Morgane Desseux, Nicolas Lemaitre, Mohamed Benharouga, Antoine Giraud, Nadia Alfaidy

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2023. 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
0.6field-weighted citation impact, top 27% of its field
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, 3 citations in OpenAlex.

  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

10 authors at 4 institutions in 1 country.

Tiphaine Raia-BarjatDepartment of Gynecology and Obstetrics, Hôpital Nord, University Hospital, Centre Hospitalier Universitaire de Saint-Étienne, Avenue Albert Raimond, 42270, Saint-Étienne, Saint Priest en Jarez, France. tiphaine.barjat@chu-st-etienne.fr.
Céline ChauleurDepartment of Gynecology and Obstetrics, Hôpital Nord, University Hospital, Centre Hospitalier Universitaire de Saint-Étienne, Avenue Albert Raimond, 42270, Saint-Étienne, Saint Priest en Jarez, France.
Constance ColletInstitut National de La Santé et de la Recherche Médicale (INSERM), U1292, MAB2 Team, Laboratoire de BioSanté, Bât C3, Pièce 304B.17 rue des Martyrs, 38054, Grenoble, France.
Florence RanconINSERM U1059 SAINBIOSE, Université Jean Monnet, Saint-Étienne, France.
Pascale HoffmannInstitut National de La Santé et de la Recherche Médicale (INSERM), U1292, MAB2 Team, Laboratoire de BioSanté, Bât C3, Pièce 304B.17 rue des Martyrs, 38054, Grenoble, France.
Morgane DesseuxInstitut National de La Santé et de la Recherche Médicale (INSERM), U1292, MAB2 Team, Laboratoire de BioSanté, Bât C3, Pièce 304B.17 rue des Martyrs, 38054, Grenoble, France.
Nicolas LemaitreInstitut National de La Santé et de la Recherche Médicale (INSERM), U1292, MAB2 Team, Laboratoire de BioSanté, Bât C3, Pièce 304B.17 rue des Martyrs, 38054, Grenoble, France.
Mohamed BenharougaInstitut National de La Santé et de la Recherche Médicale (INSERM), U1292, MAB2 Team, Laboratoire de BioSanté, Bât C3, Pièce 304B.17 rue des Martyrs, 38054, Grenoble, France.
Antoine GiraudINSERM U1059 SAINBIOSE, Université Jean Monnet, Saint-Étienne, France.
Nadia AlfaidyInstitut National de La Santé et de la Recherche Médicale (INSERM), U1292, MAB2 Team, Laboratoire de BioSanté, Bât C3, Pièce 304B.17 rue des Martyrs, 38054, Grenoble, France. nadia.alfaidy-benharouga@cea.fr.
CEA Grenoble · FRCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FRInserm · FRUniversité Jean Monnet · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prediction of spontaneous preterm birth in asymptomatic women remains a great challenge for the public health system. The aim of the study was to determine the informational value of EG-VEGF circulating levels for prediction of spontaneous preterm birth in the second and third trimesters in pregnant women at high risk for placenta-mediated complications. A prospective multicenter cohort study including 200 pregnant patients with five-serum sampling per patient. Women with spontaneous preterm birth have higher concentrations of serum EG-VEGF than uncomplicated patients at 24 weeks, 28 weeks and 32 weeks (p = 0.03, 0.02 and < 0.001). The areas under the curve reached 0.9 with 100% sensitivity at 32 weeks for the prediction of spontaneous preterm birth. Serum EG-VEGF concentrations could be considered as a reliable biomarker of spontaneous preterm birth in high-risk for placenta-mediated complications pregnant women.

Indexed as

Premature BirthVascular Endothelial Growth Factor, Endocrine-Gland-DerivedCohort StudiesFemaleHumansInfant, NewbornPlacentaPregnancyPregnancy Trimester, ThirdPregnant PeopleProspective StudiesRisk FactorsVascular Endothelial Growth Factor, Endocrine-Gland-Derived

Identifiers

PMID37963927
PMCPMC10645734
OpenAlexW4388668971

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.