Evidence map›Paper›PMID 42735499›Full record

ArticleDevelopmental cognitive neuroscience2026

A systematic review of structural brain differences in school-aged children born preterm.

Ebony Coward, Katie Mckinnon, Hilary Richardson, Sue Fletcher-Watson

Abstract read
In one paragraph

Article in Developmental cognitive neuroscience, 2026. 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
–field-weighted citation impact
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.

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

4 authors.

Ebony CowardSalvesen Mindroom Research Centre, University of Edinburgh, United Kingdom.
Katie MckinnonDepartment of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom; Department of Early Life Imaging, School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom. Electronic address: katie.mckinnon@nhs.net.
Hilary RichardsonDepartment of Psychology, University of Edinburgh, United Kingdom.
Sue Fletcher-WatsonSalvesen Mindroom Research Centre, University of Edinburgh, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preterm birth (<37 weeks' gestation) is commonly associated with adverse developmental outcomes, many of which correlate with structural brain differences. Differences in brain structure exist between preterm and term-born neonates/babies at term-equivalent age; however, it remains to be determined whether these differences persist in childhood. Two databases, EMBASE and Ovid MEDLINE, were searched to identify all publications using magnetic resonance imaging (MRI) to measure differences in brain structure between preterm and term-born children at 6-10 years old and associated perinatal risk factors. A risk of bias assessment was performed using the ROBINS-E tool. 23 articles were included that reported MRI data from prospective, longitudinal cohort studies. Preterm children showed smaller global and regional tissue volumes and altered white matter microstructure compared to term-born controls. These associations were more pronounced for those born at a lower gestational age and in the presence of perinatal brain injury. Across studies, structural brain differences had varied associations with neurodevelopmental outcomes. Furthermore, this review highlights that there is a clear lack of prospective, longitudinal studies reporting on the association between preterm birth and MRI differences at school age.

Indexed as

ChildhoodMagnetic resonance imagingNeurodevelopmentPreterm

Identifiers

PMID42735499
PMCPMC13594853

What Socratic holds

Textmetadata
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 Socratic graph.