Evidence map›Paper›PMID 34791594›Full record

ArticleNeurocritical care2022

Quantitative EEG-Based Seizure Estimation in Super-Refractory Status Epilepticus.

Ayham Alkhachroum, Saptharishi Lalgudi Ganesan, Johannes P Koren, Julie Kromm, Nina Massad, Renz A Reyes, Michael R Miller, David Roh, Sachin Agarwal, Soojin Park and 1 more

Open access · greenAbstract read
In one paragraph

Article in Neurocritical care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 17 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

11 authors at 4 institutions in 3 countries.

Ayham Alkhachroum *Department of Neurology, Columbia University and NewYork Presbyterian Hospital, New York, NY, USA.
Saptharishi Lalgudi Ganesan *Children's Hospital of Western Ontario, London Health Sciences Centre, London, ON, Canada.
Johannes P Koren *Department of Neurology, Clinic Hietzing, Vienna, Austria.
Julie Kromm *Departments of Critical Care Medicine and Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.
Nina MassadDepartment of Neurology, Columbia University and NewYork Presbyterian Hospital, New York, NY, USA.
Renz A ReyesDepartment of Neurology, Columbia University and NewYork Presbyterian Hospital, New York, NY, USA.
Michael R MillerChildren's Hospital of Western Ontario, London Health Sciences Centre, London, ON, Canada.
David RohDepartment of Neurology, Columbia University and NewYork Presbyterian Hospital, New York, NY, USA.
Sachin AgarwalDepartment of Neurology, Columbia University and NewYork Presbyterian Hospital, New York, NY, USA.
Soojin ParkDepartment of Neurology, Columbia University and NewYork Presbyterian Hospital, New York, NY, USA.
Jan ClaassenDepartment of Neurology, Columbia University and NewYork Presbyterian Hospital, New York, NY, USA. jc1439@columbia.edu.ORCID http://orcid.org/0000-0002-5893-8531
NewYork–Presbyterian Hospital · USWestern University · CAKlinik Hietzing · ATUniversity of Calgary · CA

Funding

Miami Clinical and Translational Science InstituteUL1TR002736 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, KOBETZ, ERIN N · 2018 to 2022
$23.2M
RECONFIG - REcovery of CONsciousness Following Intracerebral hemorrhaGeR01NS106014 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CLAASSEN, JAN · 2019 to 2023
$3.6M
BAsIC - Brain-computer-interface practical Application in the Intensive Care unit: a pilot studyR03NS112760 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CLAASSEN, JAN · 2019 to 2020
$162k
NCATS NIH HHS UL1 TR002736NINDS NIH HHS R01 NS106014NINDS NIH HHS R03 NS112760
6 · The paper itself

Abstract

backgroundThe objective of this study was to evaluate the accuracy of seizure burden in patients with super-refractory status epilepticus (SRSE) by using quantitative electroencephalography (qEEG).

methodsEEG recordings from 69 patients with SRSE (2009-2019) were reviewed and annotated for seizures by three groups of reviewers: two board-certified neurophysiologists using only raw EEG (gold standard), two neurocritical care providers with substantial experience in qEEG analysis (qEEG experts), and two inexperienced qEEG readers (qEEG novices) using only a qEEG trend panel.

resultsRaw EEG experts identified 35 (51%) patients with seizures, accounting for 2950 seizures (3,126 min). qEEG experts had a sensitivity of 93%, a specificity of 61%, a false positive rate of 6.5 per day, and good agreement (κ = 0.64) between both qEEG experts. qEEG novices had a sensitivity of 98.5%, a specificity of 13%, a false positive rate of 15 per day, and fair agreement (κ = 0.4) between both qEEG novices. Seizure burden was not different between the qEEG experts and the gold standard (3,257 vs. 3,126 min), whereas qEEG novices reported higher burden (6066 vs. 3126 min).

conclusionsBoth qEEG experts and novices had a high sensitivity but a low specificity for seizure detection in patients with SRSE. qEEG could be a useful tool for qEEG experts to estimate seizure burden in patients with SRSE.

Indexed as

SeizuresStatus EpilepticusCertificationData CollectionElectroencephalographyHumansElectroencephalogramQuantitative electroencephalographySeizure burdenStatus epilepticusSuper-refractory status epilepticus

Identifiers

PMID34791594
PMCPMC9987776
OpenAlexW3212230278

What OpenQuestion holds

Textmetadata
LicenceTDM
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.