Evidence map›Paper›PMID 38407350›Full record

ReviewThe British journal of radiology2024

MRI predictors of long-term outcomes of neonatal hypoxic ischaemic encephalopathy: a primer for radiologists.

Sheng-Che Hung, Yi-Fang Tu, Senyene E Hunter, Carolina Guimaraes

Abstract readReview
In one paragraph

Review in The British journal of radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

4 authors.

Sheng-Che HungDepartment of Radiology, School of Medicine, University of North Carolina Chapel Hill, Chapel Hill, NC 27599, United States.ORCID 0000-0001-6288-3556
Yi-Fang TuDepartment of Pediatrics, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 70403, Taiwan.
Senyene E HunterDepartment of Neurology, School of Medicine, University of North Carolina Chapel Hill, Chapel Hill, NC 27599-7025, United States.
Carolina GuimaraesDepartment of Radiology, School of Medicine, University of North Carolina Chapel Hill, Chapel Hill, NC 27599, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review aims to serve as a foundational resource for general radiologists, enhancing their understanding of the role of Magnetic Resonance Imaging (MRI) in early prognostication for newborns diagnosed with hypoxic ischaemic encephalopathy (HIE). The article explores the application of MRI as a predictive instrument for determining long-term outcomes in newborns affected by HIE. With HIE constituting a leading cause of neonatal mortality and severe long-term neurodevelopmental impairments, early identification of prognostic indicators is crucial for timely intervention and optimal clinical management. We examine current literature and recent advancements to provide an in-depth overview of MRI predictors, encompassing brain injury patterns, injury scoring systems, spectroscopy, and diffusion imaging. The potential of these MRI biomarkers in predicting long-term neurodevelopmental outcomes and the probability of epilepsy is also discussed.

Indexed as

Hypoxia-Ischemia, BrainMagnetic Resonance ImagingBrainHumansInfant, NewbornPrognosishypothermiahypoxic-ischaemic encephalopathyMRIneonatal encephalopathyoutcometherapeutic hypothermia

Identifiers

PMID38407350
PMCPMC11654721

What OpenQuestion holds

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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.