Evidence map›Paper›PMID 41116037›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2026

Neurodevelopmental forecasting in preterms: aEEG at 32 weeks vs. MRI at term in predicting 2-year outcomes.

Gina Ancora, Anna Tarocco, Miria Natile, Jasenka Saralija, Alessandra Montesi, Enrico Cocchi

Abstract read
In one paragraph

Article in Journal of perinatology : official journal of the California Perinatal Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Gina AncoraNeonatal Intensive Care Unit, Infermi Hospital Rimini, Rimini, Italy.
Anna TaroccoNeonatal Intensive Care Unit, University Hospital S. Anna Ferrara, Ferrara, Italy.ORCID http://orcid.org/0000-0003-0163-2651
Miria NatileNeonatal Intensive Care Unit, Infermi Hospital Rimini, Rimini, Italy.
Jasenka SaralijaChildhood And Adolescence Neuropsychiatry Unit, Infermi Hospital Rimini, Rimini, Italy.
Alessandra MontesiNeonatal Intensive Care Unit, Infermi Hospital Rimini, Rimini, Italy.
Enrico CocchiDepartment of Medical and Surgical Sciences, Alma Mater Studiorum-University of Bologna, Bologna, Italy. enrico.cocchi3@unibo.it.ORCID http://orcid.org/0000-0002-7532-956X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the predictive accuracy of amplitude-integrated EEG (aEEG) at 32 weeks corrected age versus brain MRI at term-equivalent age in forecasting neurodevelopmental outcomes in very preterm infants. STUDY

designIn this prospective cohort study, 71 infants born before 30 weeks' gestation underwent aEEG at 32 weeks and MRI at term-equivalent age. Neurodevelopmental outcomes were assessed using the Bayley-III at 12 and 24 months, and performance compared through LASSO regression models and ROC analysis.

resultsBurdjalov aEEG and MRI scores were both significantly associated with Bayley-III outcomes. At 12 months, AUCs were 0.93 for aEEG and 0.96 for MRI. At 24 months, AUCs declined but MRI remained superior (0.92 vs. 0.78). The combined model showed the highest accuracy.

conclusionaEEG at 32 weeks provides a valuable early indicator of neurodevelopmental outcomes, delivering clinically actionable information weeks before MRI and enabling timely interventions to support brain development in preterm infants.

Indexed as

BrainElectroencephalographyInfant, PrematureMagnetic Resonance ImagingNeurodevelopmental DisordersFemaleGestational AgeHumansInfantInfant, NewbornMaleNeurodevelopmentPredictive Value of TestsProspective StudiesROC Curve

Identifiers

PMID41116037
PMCPMC13290466

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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 OpenQuestion graph.