Evidence map›Paper›PMID 36359591›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Different Brain Phenotypes in Magnetic Resonance Imaging of Healthy Children after Prenatal Insults.

Cristina Paules, María Teresa Pérez Roche, Miguel Angel Marin, Nicolás Fayed, Gracián García-Martí, Javier López Pisón, Daniel Oros, Victoria Pueyo

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 1 country.

Cristina PaulesObstetrics Department, Hospital Clínico Universitario Lozano Blesa, Avenida San Juan Bosco 15, 50009 Zaragoza, Spain.
María Teresa Pérez RocheAragon Institute of Health Research (IIS Aragon), Avenida San Juan Bosco 13, 50009 Zaragoza, Spain.ORCID 0000-0003-3739-8473
Miguel Angel MarinAragon Institute of Health Research (IIS Aragon), Avenida San Juan Bosco 13, 50009 Zaragoza, Spain.
Nicolás FayedRadiology Department, Quirónsalud Hospital, Mariano Renovales, 50006 Zaragoza, Spain.
Gracián García-MartíUnidad de Ingeniería Biomédica, Hospital Quirónsalud, Blasco Ibáñez 14, 46010 Valencia, Spain.
Javier López PisónNeuropediatrics Department, Miguel Servet University Hospital, Paseo Isabel la Católica 1-3, 50009 Zaragoza, Spain.
Daniel OrosObstetrics Department, Hospital Clínico Universitario Lozano Blesa, Avenida San Juan Bosco 15, 50009 Zaragoza, Spain.
Victoria PueyoAragon Institute of Health Research (IIS Aragon), Avenida San Juan Bosco 13, 50009 Zaragoza, Spain.ORCID 0000-0002-1777-0349
Instituto de Salud Carlos III · ESHospital Universitario Miguel Servet · ESHospital Quirónsalud Barcelona · ES

Funding

Instituto de Salud Carlos III JR19/00006Instituto de Salud Carlos III PI11/02430Subdirección General de Evaluación y Fomento de la Investigación y Fondo Europeo de Desar-rollo Regional (FEDER) Aragón 2014-2020 NA
6 · The paper itself

Abstract

In this study, we used magnetic resonance imaging (MRI) to identify the different brain phenotypes within apparently healthy children and to evaluate whether these phenotypes had different prenatal characteristics. We included 65 healthy children (mean age, 10 years old) with normal neurological examinations and without structural abnormalities. We performed cluster analyses to identify the different brain phenotypes in the brain MRI images. We performed descriptive analyses, including demographic and perinatal characteristics, to assess the differences between the clusters. We identified two clusters: Cluster 1, or the “small brain phenotype” (n = 44), which was characterized by a global reduction in the brain volumes, with smaller total intracranial volumes (1044.53 ± 68.37 vs. 1200.87 ± 65.92 cm3 (p < 0.001)), total grey-matter volumes (644.65 ± 38.85 vs. 746.79 ± 39.37 cm3 (p < 0.001)), and total white-matter volumes (383.68 ± 40.17 vs. 443.55 ± 36.27 cm3 (p < 0.001)), compared with Cluster 2, or the “normal brain phenotype” (n = 21). Moreover, almost all the brain areas had decreased volumes, except for the ventricles, caudate nuclei, and pallidum areas. The risk of belonging to “the small phenotype” was 82% if the child was preterm, 76% if he/she was born small for his/her gestational age and up to 80% if the mother smoked during the pregnancy. However, preterm birth appears to be the only substantially significant risk factor associated with decreased brain volumes.

Indexed as

magnetic resonance imagingmaternal behavior/drug effectspreterm birthsmall for gestational age

Identifiers

PMID36359591
PMCPMC9689447
OpenAlexW4308711978

What OpenQuestion holds

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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.