Evidence map›Paper›PMID 38637693›Full record

ArticlePediatric research2025

The predictive value of MRI scores for neurodevelopmental outcome in infants with neonatal encephalopathy.

Csilla Andorka, Hajnalka Barta, Timea Sesztak, Nora Nyilas, Kata Kovacs, Ludovika Dunai, Gabor Rudas, Agnes Jermendy, Miklos Szabo, Eniko Szakmar

Open access · hybridAbstract read
In one paragraph

Article in Pediatric research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
17.7field-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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Csilla AndorkaDivision of Neonatology, Pediatric Center, MTA Center of Excellence, Semmelweis University, Budapest, Hungary.
Hajnalka BartaDivision of Neonatology, Pediatric Center, MTA Center of Excellence, Semmelweis University, Budapest, Hungary.
Timea SesztakDivision of Neonatology, Pediatric Center, MTA Center of Excellence, Semmelweis University, Budapest, Hungary.
Nora NyilasDepartment of Neuroradiology, Medical Imaging Center, Semmelweis University, Budapest, Hungary.
Kata KovacsDivision of Neonatology, Pediatric Center, MTA Center of Excellence, Semmelweis University, Budapest, Hungary.
Ludovika DunaiDivision of Neonatology, Pediatric Center, MTA Center of Excellence, Semmelweis University, Budapest, Hungary.
Gabor RudasDepartment of Neuroradiology, Medical Imaging Center, Semmelweis University, Budapest, Hungary.
Agnes JermendyDivision of Neonatology, Pediatric Center, MTA Center of Excellence, Semmelweis University, Budapest, Hungary.
Miklos SzaboDivision of Neonatology, Pediatric Center, MTA Center of Excellence, Semmelweis University, Budapest, Hungary.
Eniko SzakmarDivision of Neonatology, Pediatric Center, MTA Center of Excellence, Semmelweis University, Budapest, Hungary. szakmar.eniko@semmelweis.hu.
Semmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMRI scoring systems are utilized to quantify brain injury and predict outcome in infants with neonatal encephalopathy (NE). Our aim was to evaluate the predictive accuracy of total scores, white matter (WM) and grey matter (GM) subscores of Barkovich and Weeke scoring systems for neurodevelopmental outcome at 2 years of age in infants receiving therapeutic hypothermia for NE.

methodsData of 162 infants were analyzed in this retrospective cohort study. DeLong tests were used to compare areas under the curve of corresponding items of the two scoring systems. LASSO logistic regression was carried out to evaluate the association between MRI scores and adverse composite (death or severe disabilities), motor and cognitive outcomes (Bayley developmental index <70).

resultsWeeke scores predicted each outcome measure with greater accuracy than the corresponding items of Barkovich system (DeLong tests p < 0.03). Total scores, GM and cerebellum involvement were associated with increased odds for adverse outcomes, in contrast to WM injury, after adjustment to 5' Apgar score, first postnatal lactate and aEEG normalization within 48 h.

conclusionA more detailed scoring system had better predictive value for adverse outcome. GM injury graded on both scoring systems was an independent predictor of each outcome measure. IMPACT STATEMENTS: A more detailed MRI scoring system had a better predictive value for motor, cognitive and composite outcomes. While hypoxic-ischemic brain injuries in the deep grey matter and cerebellum were predictive of adverse outcome, white matter injury including cortical involvement was not associated with any of the outcome measures at 2 years of age. Structured MRI evaluation based on validated scores may aid future clinical research, as well as inform parents and caregivers to optimize care beyond the neonatal period.

Indexed as

Brain DiseasesMagnetic Resonance ImagingBrainChild DevelopmentChild, PreschoolFemaleGray MatterHumansHypothermia, InducedHypoxia-Ischemia, BrainInfantInfant, NewbornLogistic ModelsMalePredictive Value of TestsRetrospective Studies

Identifiers

PMID38637693
PMCPMC11798823
OpenAlexW4394931795

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LicenceCC BY
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Registered trials

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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.