Evidence map›Paper›PMID 30315272›Full record

ReviewPediatric research2018

Brain imaging in preterm infants <32 weeks gestation: a clinical review and algorithm for the use of cranial ultrasound and qualitative brain MRI.

John Ibrahim, Imran Mir, Lina Chalak

Open access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in Pediatric research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
12.0field-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

38 citing papers in PubMed, 73 citations in OpenAlex.

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  11. 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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  12. Article
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  15. Human Parechovirus (HPeV) infections: clinical presentations, patterns, and evolution of neonatal brain injury.Journal of perinatology : official journal of the California Perinatal Association · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

John IbrahimUniversity of Texas Southwestern Medical Center Dallas, Dallas, TX, USA.
Imran MirUniversity of Texas Southwestern Medical Center Dallas, Dallas, TX, USA.
Lina ChalakUniversity of Texas Southwestern Medical Center Dallas, Dallas, TX, USA. lina.chalak@utsouthwestern.edu.
The University of Texas Southwestern Medical Center · US

Funding

A Novel Wavelet Neurovascular Bundle for Real Time Detection of Injury in Neonatal EncephalopathyR01NS102617 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI LINA F CHALAK · 2017 to 2026
$4.0M
Cerebrovascular Dysfunction in Newborns with HIE during Hypothermia and RewarmingK23HD069521 · NICHD · UT SOUTHWESTERN MEDICAL CENTER · PI CHALAK, LINA F · 2012 to 2014
$368k
NICHD NIH HHS K23 HD069521NINDS NIH HHS R01 NS102617
6 · The paper itself

Abstract

The aim is to review the evidence about the utility of term-equivalent age (TEA) magnetic resonance imaging (MRI) in predicting neurodevelopmental outcomes for preterm neonates. Preterm birth accounts for ~12% of all deliveries in the United States and is the leading cause of neurologic disabilities in children. From the neonatologist perspective, it is critically important to identify preterm infants at risk of subsequent neurodevelopmental disability who may benefit from early intervention services. However "the choose wisely campaign" also emphasizes the need to have ongoing cost/benefit discussions regarding care of preterm newborns to avoid waste that comes from subjecting infants to procedures that do not help. We performed a MEDLINE EMBASE database review from 2000 to 2018 to account for the technical evolution in the cranial ultrasound machines and introduction of MRI imaging in the NICU. Studies were graded based on the strength of their design using the GRADE guidelines and summarized with respect to brain MRI vs. cranial US (1) detection of white matter injury; (2) cerebellar hemorrhage; (3) long-term neurodevelopmental outcomes and impact on parental anxiety. We conclude with a hospital-specific guideline algorithm for performing TEA MRI based on risk evaluations ≤32 weeks.

Indexed as

AlgorithmsAnxietyBrainBrain InjuriesCerebellumCerebral HemorrhageDecision Support Systems, ClinicalHealth Care CostsHumansInfant, NewbornInfant, PrematureInfant, Premature, DiseasesIntensive Care, NeonatalIntensive Care Units, NeonatalMagnetic Resonance ImagingNeurodevelopmental Disorders

Identifiers

PMID30315272
OpenAlexW2896923397

What OpenQuestion holds

Textmetadata
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.