Evidence map›Paper›PMID 29525975›Full record

ReviewCurrent neurology and neuroscience reports2018

Prognostic Value of EEG in Patients after Cardiac Arrest-An Updated Review.

Wolfgang Muhlhofer, Jerzy P Szaflarski

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current neurology and neuroscience reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
–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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  9. Big data and predictive analytics in neurocritical care.Current neurology and neuroscience reports · 2022
    Review
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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

2 authors.

Wolfgang MuhlhoferDepartment of Neurology and UAB Epilepsy Center, University of Alabama at Birmingham, Birmingham, AL, USA. wmuhlhofer@uabmc.edu.
Jerzy P SzaflarskiDepartment of Neurology and UAB Epilepsy Center, University of Alabama at Birmingham, Birmingham, AL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThis paper aims to review and summarize the key contributions of EEG to prognostication after cardiac arrest (CA). RECENT

findingsWhile there are more EEG patterns predicting poor than good outcome, even EEG patterns previously considered to be "very malignant" may result in survival with a meaningful neurological outcome depending on their underlying etiology as well as the continuity and reactivity of the EEG background. Regardless of the potentially confounding factors, EEG patterns are highly specific with a relatively low false-positive rate. The development of more complex and comprehensive approaches to quantitative EEG analysis could help improve the prognostic value of EEG, but this approach has its own limitations. Seizures and status epilepticus in the setting of CA predict poor outcomes, but it is not clear whether treating them prevents additional brain damage and results in improved outcome. Either continuous EEG or frequent intermittent EEGs should be obtained within the first 12-24 h of return of spontaneous circulation in order to capture highly dynamic and prognostic patterns. Even though EEG has high predictive value for outcomes after cardiac arrest, it should not be the only prognostic tool. Rather, to improve prognostication, EEG should be used in combination with the neurological examination and other ancillary tests.

Indexed as

Brain InjuriesElectroencephalographyHeart ArrestHumansMiddle AgedNeurologic ExaminationPrognosisSeizuresStatus EpilepticusCardiac arrestElectroencephalography (EEG)Hypoxic ischemic injuryOutcomePrognosisTherapeutic hypothermia

Identifiers

What OpenQuestion holds

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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.