Evidence map›Paper›PMID 36434488›Full record

ReviewCurrent neurology and neuroscience reports2022

Rapid Response EEG: Current State and Future Directions.

Zachary Davey, Pranjal Bodh Gupta, David R Li, Rahul Uday Nayak, Prasanthi Govindarajan

Abstract readReview
In one paragraph

Review in Current neurology and neuroscience reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Zachary DaveyDepartment of Neurology, Walter Reed National Military Medical Center, Bethesda, MD, USA.ORCID 0000-0003-3673-8587
Pranjal Bodh GuptaDepartment of Emergency Medicine, Stanford Medicine, Palo Alto, CA, USA.ORCID 0000-0003-3315-7971
David R LiDepartment of Emergency Medicine, Stanford Medicine, Palo Alto, CA, USA.ORCID 0000-0001-5221-1334
Rahul Uday NayakDepartment of Emergency Medicine, Stanford Medicine, Palo Alto, CA, USA.ORCID 0000-0003-4114-8565
Prasanthi GovindarajanDepartment of Emergency Medicine, Stanford Medicine, Palo Alto, CA, USA. prashagovindarajan@stanford.edu.ORCID 0000-0002-6946-8360

Funding

Effect of Bypass Policies on Stroke Treatment in a National Sample of Medicare BeneficiariesR01HS026207 · AHRQ · STANFORD UNIVERSITY · PI GOVINDARAJAN, PRASANTHI · 2019 to 2023
$2.0M
AHRQ HHS R01 HS026207
6 · The paper itself

Abstract

purpose of reviewTo critically appraise the literature on the application, methods, and advances in emergency electroencephalography (EEG). RECENT

findingsThe development of rapid EEG (rEEG) technologies and other reduced montage approaches, along with advances in machine learning over the past decade, has increased the rate and access to EEG acquisition. These achievements have made EEG in the emergency setting a practical diagnostic technique for detecting seizures, suspected nonconvulsive status epilepticus (NCSE), altered mental status, stroke, and in the setting of sedation. Growing evidence supports using EEG to expedite medical decision-making in the setting of suspected acute neurological injury. This review covers approaches to acquiring EEG in the emergency setting in the adult and pediatric populations. We also cover the clinical impact of this data, the time associated with emergency EEG, and the costs of acquiring EEG in these settings. Finally, we discuss the advances in artificial intelligence for rapid electrophysiological interpretation.

Indexed as

Mental DisordersStatus EpilepticusAdultArtificial IntelligenceChildElectroencephalographyHumansSeizuresAltered mental statusEmergency electroencephalographyNonconvulsive status epilepticus (NCSE)Rapid response EEGSeizureStroke

Identifiers

PMID36434488
PMCPMC9702853

What OpenQuestion holds

Textmetadata
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.