Evidence map›Paper›PMID 32759731›Full record

ArticleJournal of clinical medicine2020

EEG is A Predictor of Neuroimaging Abnormalities in Pediatric Extracorporeal Membrane Oxygenation.

Jordana Fox, Christopher L Jenks, Abdelaziz Farhat, Xilong Li, Yulun Liu, Ellen James, Stephanie Karasick, Michael C Morriss, Deepa Sirsi, Lakshmi Raman

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Jordana FoxBarrow Neurological Institute at Phoenix Children's Hospital, Phoenix, AZ 85016, USA.
Christopher L JenksDepartment of Pediatrics University of Mississippi, Oxford, MS 38677, USA.
Abdelaziz FarhatDepartment of Pediatrics, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75390, USA.
Xilong LiDepartment of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Yulun LiuDepartment of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Ellen JamesChildren's Medical Center of Dallas, Dallas, TX 75235, USA.
Stephanie KarasickChildren's Medical Center of Dallas, Dallas, TX 75235, USA.
Michael C MorrissChildren's Medical Center of Dallas, Dallas, TX 75235, USA.
Deepa SirsiDepartment of Pediatrics, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75390, USA.
Lakshmi RamanDepartment of Pediatrics, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75390, USA.
Children's Medical Center · USThe University of Texas Southwestern Medical Center · USBarrow Neurological Institute · USUniversity of Mississippi · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of this project was to evaluate if severity of electroencephalogram (EEG) during or shortly after being placed on extracorporeal membrane oxygenation (ECMO) would correlate with neuroimaging abnormalities, and if that could be used as an early indicator of neurologic injury. This was a retrospective chart review spanning November 2009 to May 2018. Patients who had an EEG recording during ECMO or within 48 hours after being decannulated (early group) or within 3 months of being on ECMO (late group) were included if they also had ECMO-related neuroimaging. In the early EEG group, severity of the EEG findings of mild, moderate, and severe EEG correlated to mild, moderate, and severe neuroimaging scores. Patients on venoarterial (VA) ECMO were noted to have higher EEG and neuroimaging severity; this was statistically significant. There was no association in the late EEG group to neuroimaging abnormalities. Our study highlights that EEG severity can be an early predictor for neuroimaging abnormalities that can be identified by computed tomography (CT) and or magnetic resonance imaging (MRI). This can provide guidance for both the medical team and families, allowing for a better understanding of overall prognosis.

Indexed as

electroencephalogram (EEG)extracorporeal membrane oxygenation (ECMO)neuroimagingseizures

Identifiers

PMID32759731
PMCPMC7463499
OpenAlexW3047218421

What OpenQuestion holds

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LicenceCC BY
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.