Evidence map›Paper›PMID 42563996›Full record

ReviewAnnals of the Child Neurology Society2023

Quantitative EEG in the neonatal intensive care unit: Current application and future promise.

Jennifer C Keene, Giulia M Benedetti, Stuart R Tomko, Réjean M Guerriero

Abstract readReview
In one paragraph

Review in Annals of the Child Neurology Society, 2023. 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

4 authors.

Jennifer C KeeneDivision of Pediatric Neurology, Department of Pediatrics University of Utah, Primary Children's Hospital Salt Lake City Utah USA.ORCID 0000-0002-3104-6533
Giulia M BenedettiDivision of Pediatric Neurology, Department of Pediatrics University of Michigan, C. S. Mott Children's Hospital Ann Arbor Michigan USA.
Stuart R TomkoDivision of Pediatric and Developmental Neurology, Department of Neurology Washington University in St. Louis St. Louis Missouri USA.ORCID 0000-0001-9199-8766
Réjean M GuerrieroDivision of Pediatric and Developmental Neurology, Department of Neurology Washington University in St. Louis St. Louis Missouri USA.ORCID 0000-0001-7788-6661

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Quantitative electroencephalography (qEEG) has been used in the neonatal intensive care unit (NICU) for several decades. Recent innovations have led to renewed interest in expanding its role in the NICU with the goal of improving both acute care of neonates in the NICU and longer-term outcomes. Observations: EEG in the NICU is primarily used to identify neonatal seizures. Sophisticated analysis of EEG can detect other acute neurological emergencies and provide additional information about short- and long-term neurodevelopmental and epileptic prognosis. Using EEG for these additional findings may be limited by access to EEG resources and a constrained supply of neonatal neurophysiologists who can consistently evaluate unique neonatal EEG patterns. Relevance: Quantitative EEG analysis is a rapidly developing technology with the potential to augment and support the interpretation of neonatal EEGs. This review focuses on the status of qEEG use in the NICU for identification and prediction of seizures and use in neuroprognostication. It also examines areas of promise for bedside qEEG applications.

Indexed as

electroencephalographyneonatal encephalopathyneonatal seizures

Identifiers

PMID42563996
PMCPMC13359320

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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.