Evidence map›Paper›PMID 32715371›Full record

ReviewCurrent neurology and neuroscience reports2020

Detecting Seizures and Epileptiform Abnormalities in Acute Brain Injury.

Shobhit Singla, Gabriella E Garcia, Grace E Rovenolt, Alexandria L Soto, Emily J Gilmore, Lawrence J Hirsch, Hal Blumenfeld, Kevin N Sheth, S Bulent Omay, Aaron F Struck and 2 more

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current neurology and neuroscience reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Observational
  3. Review
  4. Review
  5. A Combination ofFrontiers in cellular neuroscience · 2022
    Article
  6. 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

12 authors at 3 institutions in 1 country.

Shobhit SinglaDepartment of Neurology, Yale University, Box 208018, 15 York Street | LLCI Room 1004B, New Haven, CT, 06520, USA.
Gabriella E GarciaDepartment of Neurology, Yale University, Box 208018, 15 York Street | LLCI Room 1004B, New Haven, CT, 06520, USA.
Grace E RovenoltDepartment of Neurology, Yale University, Box 208018, 15 York Street | LLCI Room 1004B, New Haven, CT, 06520, USA.
Alexandria L SotoDepartment of Neurology, Yale University, Box 208018, 15 York Street | LLCI Room 1004B, New Haven, CT, 06520, USA.
Emily J GilmoreDepartment of Neurology, Yale University, Box 208018, 15 York Street | LLCI Room 1004B, New Haven, CT, 06520, USA.
Lawrence J HirschDepartment of Neurology, Yale University, Box 208018, 15 York Street | LLCI Room 1004B, New Haven, CT, 06520, USA.
Hal BlumenfeldDepartment of Neurology, Yale University, Box 208018, 15 York Street | LLCI Room 1004B, New Haven, CT, 06520, USA.
Kevin N ShethDepartment of Neurology, Yale University, Box 208018, 15 York Street | LLCI Room 1004B, New Haven, CT, 06520, USA.
S Bulent OmayDepartment of Neurology, Yale University, Box 208018, 15 York Street | LLCI Room 1004B, New Haven, CT, 06520, USA.
Aaron F StruckDepartment of Neurology, University of Wisconsin-Madison, Madison, WI, 53792, USA.
M Brandon WestoverDepartment of Neurology, Massachusetts General Hospital, Boston, MA, 02114, USA.
Jennifer A KimDepartment of Neurology, Yale University, Box 208018, 15 York Street | LLCI Room 1004B, New Haven, CT, 06520, USA. jennifer.a.kim@yale.edu.ORCID 0000-0003-3072-6198
Yale University · USMassachusetts General Hospital · USUniversity of Wisconsin–Madison · US

Funding

Investigation of Sleep in the Intensive Care Unit (ICU-SLEEP)R01NS102190 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2018 to 2022
$3.2M
Big Data and Deep Learning for the Interictal-Ictal-Injury ContiuumR01NS107291 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2018 to 2022
$2.8M
Establishing a Brain Health Index from the Sleep ElectroencephalogramRF1NS120947 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2021 to 2021
$2.4M
NINDS NIH HHS R01 NS102190NINDS NIH HHS R01 NS107291NINDS NIH HHS RF1 NS120947
6 · The paper itself

Abstract

purpose of reviewAcute brain injury (ABI) is a broad category of pathologies, including traumatic brain injury, and is commonly complicated by seizures. Electroencephalogram (EEG) studies are used to detect seizures or other epileptiform patterns. This review seeks to clarify EEG findings relevant to ABI, explore practical barriers limiting EEG implementation, discuss strategies to leverage EEG monitoring in various clinical settings, and suggest an approach to utilize EEG for triage. RECENT

findingsCurrent literature suggests there is an increased morbidity and mortality risk associated with seizures or patterns on the ictal-interictal continuum (IIC) due to ABI. Further, increased use of EEG is associated with better clinical outcomes. However, there are many logistical barriers to successful EEG implementation that prohibit its ubiquitous use. Solutions to these limitations include the use of rapid EEG systems, non-expert EEG analysis, machine learning algorithms, and the incorporation of EEG data into prognostic models.

Indexed as

Brain InjuriesSeizuresElectroencephalographyHumansPrognosisAcute brain injuryEEGmonitoringRapid EEGseizures

Identifiers

PMID32715371
PMCPMC9353690
OpenAlexW3045794728

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.