Evidence map›Paper›PMID 35847218›Full record

ArticleFrontiers in neurology2022

Comparing Seizures Captured by Rapid Response EEG and Conventional EEG Recordings in a Multicenter Clinical Study.

Deepika Kurup, Kapil Gururangan, Masoom J Desai, Matthew S Markert, Dawn S Eliashiv, Paul M Vespa, Josef Parvizi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

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  9. Rapid Response EEG: Current State and Future Directions.Current neurology and neuroscience reports · 2022
    Review
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

7 authors at 4 institutions in 1 country.

Deepika KurupDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States.
Kapil GururanganDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Masoom J DesaiDepartment of Neurology, University of New Mexico School of Medicine, Albuquerque, NM, United States.
Matthew S MarkertDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States.
Dawn S EliashivDepartment of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.
Paul M VespaDepartment of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.
Josef ParviziDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States.
Stanford University · USUniversity of California, Los Angeles · USIcahn School of Medicine at Mount Sinai · USUniversity of New Mexico · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: A recent multicenter prospective study (DECIDE trial) examined the use of Ceribell Rapid Response EEG ( Methods: We identified from 164 patients studied in the DECIDE trial those who had seizures detected on Results: Seizures detected on both EEG systems had similar electrographic appearance and laterality. Seizures detected only on conventional EEG (within 24 h following Conclusions: Our case series demonstrates that electrographic data obtained from initial

Indexed as

electroencephalographyhighly epileptiform patternsnon-convulsive status epilepticus (NCSE)rapid response EEGreduced channel montageseizure detection

Identifiers

PMID35847218
PMCPMC9277057
OpenAlexW4283694154

What OpenQuestion holds

Textmetadata
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.