Evidence map›Paper›PMID 41467301›Full record

ArticleDevelopmental medicine and child neurology2026

Oral language profiles and associated factors in children after neonatal arterial ischaemic stroke.

Laure Drutel, Virginie Dardier, Lena Avoyan, Lucie Hertz-Pannier, Mickaël Dinomais

Abstract read
In one paragraph

Article in Developmental medicine and child neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Laure DrutelLaboratoire de Psychologie, Cognition, Comportement, Communication (LP3C), Rennes 2 University, Rennes, France.ORCID 0009-0007-0259-4980
Virginie DardierLaboratoire de Psychologie, Cognition, Comportement, Communication (LP3C), Rennes 2 University, Rennes, France.
Lena AvoyanCentre Hospitalier Universitaire de Poitiers, Poitiers, France.
Lucie Hertz-PannierUMR 1141, NeuroDiderot, inDEV Team, Paris Cité University, INSERM, AP-HP, Paris, France.
Mickaël DinomaisFrench National Reference Center for Pediatric Stroke, Les Capucins Pediatric Medical and Rehabilitation Care, Angers, France.

Funding

Fondation de l'Avenir ET0-571French Ministry of Solidarity and Health
6 · The paper itself

Abstract

aimTo characterize language outcomes at age 7 years after neonatal arterial ischaemic stroke (NAIS) and identify language profiles and determinants.

methodThis prospective longitudinal cohort study included 70 children (44 males) from a French cohort with NAIS. Oral language (phonology, lexicon, syntax) was assessed using a validated French battery. Data on demographics, environment, lesion, epilepsy, motor status, cognition, schooling, and therapy were collected. A data-driven classification, based on principal component analysis, followed by hierarchical clustering with k-means consolidation, was used to identify the language profiles. Performances were compared to norms and factors were tested using multiple linear regression models.

resultsFour language profiles emerged after excluding three outliers: preserved language (n = 32), very low phono-syntax (n = 7), very low receptive (n = 11), and borderline language (n = 17). A majority of children (56%) showed below-age language abilities. Epilepsy, bilingualism, a family history of language or learning disorders, and lower full-scale IQ were associated with poorer outcomes. Children with more severe impairments more often required school support (n = 18) or specialized education (n = 7). Access to speech and language therapy was mainly driven by the nature of difficulties, especially phonology and syntax, than by their severity.

interpretationNAIS leads to frequent and heterogeneous language difficulties at school age, which are influenced by biological, cognitive, and environmental factors. Systematic and complete language assessments are crucial in preschool to ensure early detection, even of subtle deficits, and equitable access to intervention.

Indexed as

Ischemic StrokeLanguageLanguage Development DisordersStrokeChildEpilepsyFemaleHumansInfant, NewbornLanguage TestsLongitudinal StudiesMaleProspective Studies

Identifiers

PMID41467301
PMCPMC13340624

What Socratic holds

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LicenceCC BY
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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 Socratic graph.