Evidence map›Paper›PMID 33927592›Full record

ArticleFrontiers in neuroscience2021

Multiparametric Analysis of Cerebral Development in Preterm Infants Using Magnetic Resonance Imaging.

Marine Dubois, Antoine Legouhy, Isabelle Corouge, Olivier Commowick, Baptiste Morel, Patrick Pladys, Jean-Christophe Ferré, Christian Barillot, Maïa Proisy

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 5 institutions in 1 country.

Marine DuboisRadiology Department, CHU Rennes, Hôpital Sud, Rennes, France.
Antoine LegouhyInria, CNRS, INSERM, IRISA, Empenn ERL U-1228, Université de Rennes 1, Rennes, France.
Isabelle CorougeInria, CNRS, INSERM, IRISA, Empenn ERL U-1228, Université de Rennes 1, Rennes, France.
Olivier CommowickInria, CNRS, INSERM, IRISA, Empenn ERL U-1228, Université de Rennes 1, Rennes, France.
Baptiste MorelRadiology Department, CHU Tours, Hôpital Gatien de Clocheville, Tours, France.
Patrick PladysPediatric Department, CHU Rennes, Hôpital Sud, Rennes, France.
Jean-Christophe FerréRadiology Department, CHU Rennes, Hôpital Sud, Rennes, France.
Christian BarillotInria, CNRS, INSERM, IRISA, Empenn ERL U-1228, Université de Rennes 1, Rennes, France.
Maïa ProisyRadiology Department, CHU Rennes, Hôpital Sud, Rennes, France.
Université de Rennes · FRCentre National de la Recherche Scientifique · FRCentre Hospitalier Universitaire de Rennes · FRInstitut de Recherche en Informatique et Systèmes Aléatoires · FRThion Medical (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe severity of neurocognitive impairment increases with prematurity. However, its mechanisms remain poorly understood. Our aim was firstly to identify multiparametric magnetic resonance imaging (MRI) markers that differ according to the degree of prematurity, and secondly to evaluate the impact of clinical complications on these markers. MATERIALS AND

methodsWe prospectively enrolled preterm infants who were divided into two groups according to their degree of prematurity: extremely preterm (<28 weeks' gestational age) and very preterm (28-32 weeks' gestational age). They underwent a multiparametric brain MRI scan at term-equivalent age including morphological, diffusion tensor and arterial spin labeling (ASL) perfusion sequences. We quantified overall and regional volumes, diffusion parameters, and cerebral blood flow (CBF). We then compared the parameters for the two groups. We also assessed the effects of clinical data and potential MRI morphological abnormalities on those parameters.

resultsThirty-four preterm infants were included. Extremely preterm infants (

conclusionMagnetic resonance imaging brain scans performed at term-equivalent age in preterm infants provide quantitative imaging parameters that differ with respect to the degree of prematurity, related to brain maturation.

Indexed as

arterial spin labelingcerebral perfusiondiffusionmagnetic resonance imagingmorphometryprematurityradiology

Identifiers

PMID33927592
PMCPMC8076519
OpenAlexW3152974613

What OpenQuestion holds

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Registered trials

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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.