Evidence map›Paper›PMID 29282263›Full record

ArticleBMJ open2017

Feasibility of 2-D ultrasound shear wave elastography of fetal lungs in case of threatened preterm labour: a study protocol.

Nicolas Mottet, Sébastien Aubry, Chrystelle Vidal, Guillaume Boiteux, Jean-Patrick Metz, Didier Riethmuller, Lionel Pazart, Rajeev Ramanah

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02870608 (Interest of Measuring Lung Elasticity ELASTOgraphy in the Fetus in the Case of PreMAture Childbirth Threat), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 17% 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.

NCT02870608 nacompletednot on this map

Interest of Measuring Lung Elasticity ELASTOgraphy in the Fetus in the Case of PreMAture Childbirth Threat

TypeinterventionalSponsorCentre Hospitalier Universitaire de BesanconRan2016 to 2017Enrolled103ConditionsPregnancy Complications, Obstetric Labor, PrematureArmslung and liver elastography measurement of fetus
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 14 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Nicolas MottetDepartment of Obstetrics and Gynaecology, Pôle Mère-Femme, University Hospital of Besancon, University of Franche-Comte, Besançon, France.
Sébastien AubryNanomedecine Laboratory, INSERM EA4662, University of Franche-Comte, Besancon, France.
Chrystelle VidalCentre d'investigation Clinique-Innovation Technologique, INSERM, University Hospital of Besançon, Besançon, France.
Guillaume BoiteuxCentre d'investigation Clinique-Innovation Technologique, INSERM, University Hospital of Besançon, Besançon, France.
Jean-Patrick MetzDepartment of Obstetrics and Gynaecology, Pôle Mère-Femme, University Hospital of Besancon, University of Franche-Comte, Besançon, France.
Didier RiethmullerDepartment of Obstetrics and Gynaecology, Pôle Mère-Femme, University Hospital of Besancon, University of Franche-Comte, Besançon, France.
Lionel PazartCentre d'investigation Clinique-Innovation Technologique, INSERM, University Hospital of Besançon, Besançon, France.
Rajeev RamanahDepartment of Obstetrics and Gynaecology, Pôle Mère-Femme, University Hospital of Besancon, University of Franche-Comte, Besançon, France.
Inserm · FRUniversité de franche-comté · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introduction2-D ultrasound shear wave elastography (SWE) could be considered as a new noninvasive tool for monitoring fetal lung development based on evaluation of mechanical properties during pregnancy. Interesting results are available concerning the use of SWE on developing organs, especially on premature infants and animal models. The main objective in this study is to evaluate the feasibility of 2-D SWE in human fetal lungs between 24 and 34 weeks of gestation (WG). The secondary objective is to modellise fetal lung-to-liver elastography ratio (LLE ratio) and to assess variations between normal lung and lung surfactant-enriched after a corticosteroids course indicated for a threatened preterm labour (TPL). METHODS/

designA prospective case-control study will be performed between 24 and 34 WG. Fetal lungs and liver will be explored by SWE into two groups: fetuses of women with an uncomplicated pregnancy (control group) and fetuses of women with a TPL requiring administration of corticosteroids (cases group). LLE ratio will be defined as the value of the lung elasticity divided by the value of the liver elasticity.Primary judgement criterion is the value of elasticity modulus expressed in kilopascal. Lungs and liver will be explored through three measurements to define the most reproducible regions with the lowest intra- and inter-observer variability. Feasibility will be evaluated by assessing the number of examinations performed and the number of examinations with interpretable results. Intra- and inter-observer reproducibility will be evaluated by means of the intra-class correlation coefficient. ETHICS AND DISSEMINATION: Approval of the study protocol was obtained from the human ethical research committee (Comité de Protection des Personnes EST II, process number 15/494) and the French National Agency for Medicines and Health Products Safety (process number 2015-A01575-44). All participants will sign a statement of informed consent. TRIAL REGISTRATION NUMBER: NCT02870608; Recruiting.

Indexed as

Obstetric Labor, PrematureCase-Control StudiesElasticity Imaging TechniquesFeasibility StudiesFemaleFetusFranceHumansInfant, NewbornLiverLungMaleObserver VariationPregnancyPregnancy Trimester, ThirdProspective Studieselasticityfetallung.Shear wave elastography

Identifiers

PMID29282263
PMCPMC5770838
OpenAlexW2777784396

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.