Evidence map›Paper›PMID 31704737›Full record

ArticleArchives of disease in childhood. Fetal and neonatal edition2020

Early cortical maturation predicts neurodevelopment in very preterm infants.

Julia E Kline, Venkata Sita Priyanka Illapani, Lili He, Mekibib Altaye, John Wells Logan, Nehal A Parikh

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Archives of disease in childhood. Fetal and neonatal edition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
11.7field-weighted citation impact, top 1% 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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.

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  13. Cortical scaling of the neonatal brain in typical and altered development.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  15. Early medical risks to language development in extremely preterm infants.Journal of perinatology : official journal of the California Perinatal Association · 2025
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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

6 authors at 3 institutions in 1 country.

Julia E KlinePerinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Venkata Sita Priyanka IllapaniPerinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Lili HePerinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Mekibib AltayeDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
John Wells LoganDepartment of Pediatrics, Nationwide Children's Hospital, Columbus, Ohio, USA.
Nehal A ParikhPerinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA nehal.parikh@cchmc.org.
Cincinnati Children's Hospital Medical Center · USUniversity of Cincinnati Medical Center · USNationwide Children's Hospital · US

Funding

A New Model to Identify Preterm Neonates at High-Risk for Cognitive Impairments and School ReadinessR01NS094200 · NINDS · CINCINNATI CHILDRENS HOSP MED CTR · PI NEHAL A. PARIKH · 2016 to 2026
$6.7M
Early Prediction of Cerebral Palsy in Premature Infants using Advanced MRI BiomarkersR01NS096037 · NINDS · CINCINNATI CHILDRENS HOSP MED CTR · PI PARIKH, NEHAL A. · 2016 to 2020
$2.2M
NINDS NIH HHS R01 NS094200NINDS NIH HHS R01 NS096037
6 · The paper itself

Abstract

objectiveTo evaluate the ability of four objectively defined, cortical maturation features-surface area, gyrification index, sulcal depth and curvature-from structural MRI at term-equivalent age (TEA) to independently predict cognitive and language development at 2 years corrected age in very preterm (VPT) infants.

designPopulation-based, prospective cohort study. Structural brain MRI was performed at term, between 40 and 44 weeks postmenstrual age and processed using the developing Human Connectome Project pipeline.

settingMulticentre study comprising four regional level III neonatal intensive care units in the Columbus, Ohio region. PATIENTS: 110 VPT infants (gestational age (GA) ≤ 31 weeks).

main outcome measuresCognitive and language scores at 2 years corrected age on the Bayley Scales of Infant and Toddler Development, Third Edition.

resultsOf the 94 VPT infants with high-quality T2-weighted MRI scans, 75 infants (80%) returned for Bayley-III testing. Cortical surface area was positively correlated with cognitive and language scores in nearly every brain region. Curvature of the inner cortex was negatively correlated with Bayley scores in the frontal, parietal and temporal lobes. In multivariable regression models, adjusting for GA, sex, socioeconomic status, and injury score on MRI, regional measures of surface area and curvature independently explained more than one-third of the variance in cognitive and language scores at 2 years corrected age in our cohort.

conclusionsWe identified increased cortical curvature at TEA as a new prognostic biomarker of adverse neurodevelopment in very premature infants. When combined with cortical surface area, it enhanced prediction of cognitive and language development. Larger studies are needed to externally validate our findings.

Indexed as

Infant, Very Low Birth WeightBiomarkersBrainChild, PreschoolFemaleGestational AgeHumansInfantInfant, NewbornInfant, PrematureInfant, Premature, DiseasesIntensive Care Units, NeonatalMagnetic Resonance ImagingMaleNeurodevelopmental DisordersProspective StudiesBiomarkersneonatologyneurodevelopmentneurodisabilityneurologyoutcomes research

Identifiers

PMID31704737
PMCPMC7205568
OpenAlexW2986420783

What OpenQuestion holds

Textmetadata
LicenceTDM
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.