Evidence map›Paper›PMID 28719076›Full record

ArticleAnnals of neurology2017

Multimodal image analysis of clinical influences on preterm brain development.

Gareth Ball, Paul Aljabar, Phumza Nongena, Nigel Kennea, Nuria Gonzalez-Cinca, Shona Falconer, Andrew T M Chew, Nicholas Harper, Julia Wurie, Mary A Rutherford and 2 more

Abstract read
In one paragraph

Article in Annals of neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Associations between neonatal brain structure and neurodevelopmental outcomes following very preterm birth.Journal of perinatology : official journal of the California Perinatal Association · 2026
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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

12 authors.

Gareth BallCentre for the Developing Brain, King's College London, St Thomas' Hospital, London, United Kingdom.
Paul AljabarCentre for the Developing Brain, King's College London, St Thomas' Hospital, London, United Kingdom.
Phumza NongenaCentre for the Developing Brain, King's College London, St Thomas' Hospital, London, United Kingdom.
Nigel KenneaSt Georges, University of London, St Georges Hospital, London, United Kingdom.
Nuria Gonzalez-CincaCentre for the Developing Brain, King's College London, St Thomas' Hospital, London, United Kingdom.
Shona FalconerCentre for the Developing Brain, King's College London, St Thomas' Hospital, London, United Kingdom.
Andrew T M ChewCentre for the Developing Brain, King's College London, St Thomas' Hospital, London, United Kingdom.
Nicholas HarperCentre for the Developing Brain, King's College London, St Thomas' Hospital, London, United Kingdom.
Julia WurieCentre for the Developing Brain, King's College London, St Thomas' Hospital, London, United Kingdom.
Mary A RutherfordCentre for the Developing Brain, King's College London, St Thomas' Hospital, London, United Kingdom.
Serena J CounsellCentre for the Developing Brain, King's College London, St Thomas' Hospital, London, United Kingdom.
A David EdwardsCentre for the Developing Brain, King's College London, St Thomas' Hospital, London, United Kingdom.

Funding

Department of Health RP-PG-0707-10154Medical Research Council MC_U120088465Medical Research Council MR/J014311/1Medical Research Council MR/K006355/1Medical Research Council MR/L011530/1Medical Research Council MR/N026063/1
6 · The paper itself

Abstract

objectivePremature birth is associated with numerous complex abnormalities of white and gray matter and a high incidence of long-term neurocognitive impairment. An integrated understanding of these abnormalities and their association with clinical events is lacking. The aim of this study was to identify specific patterns of abnormal cerebral development and their antenatal and postnatal antecedents.

methodsIn a prospective cohort of 449 infants (226 male), we performed a multivariate and data-driven analysis combining multiple imaging modalities. Using canonical correlation analysis, we sought separable multimodal imaging markers associated with specific clinical and environmental factors and correlated to neurodevelopmental outcome at 2 years.

resultsWe found five independent patterns of neuroanatomical variation that related to clinical factors including age, prematurity, sex, intrauterine complications, and postnatal adversity. We also confirmed the association between imaging markers of neuroanatomical abnormality and poor cognitive and motor outcomes at 2 years.

interpretationThis data-driven approach defined novel and clinically relevant imaging markers of cerebral maldevelopment, which offer new insights into the nature of preterm brain injury. Ann Neurol 2017;82:233-246.

Indexed as

Image Processing, Computer-AssistedAnisotropyBrainChild, PreschoolCognitive DysfunctionFemaleHumansInfant, NewbornInfant, PrematureMagnetic Resonance ImagingMaleModels, StatisticalMotor DisordersProspective StudiesRisk Factors

Identifiers

PMID28719076
PMCPMC5601217

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.