Evidence map›Paper›PMID 36270698›Full record

ReviewNeurologic clinics2022

Electrographic Seizures in the Critically Ill.

Smitha K Holla, Parimala Velpula Krishnamurthy, Thanujaa Subramaniam, Monica B Dhakar, Aaron F Struck

Open access · greenAbstract readReview
In one paragraph

Review in Neurologic clinics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

5 authors at 3 institutions in 1 country.

Smitha K HollaDepartment of Neurology, UW Medical Foundation Centennial building, 1685 Highland Avenue, Madison, WI 53705, USA. Electronic address: holla@neurology.wisc.edu.
Parimala Velpula KrishnamurthyDepartment of Neurology, UW Medical Foundation Centennial building, 1685 Highland Avenue, Madison, WI 53705, USA.
Thanujaa SubramaniamDivision of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, 15 York Street, Building LLCI, 10th Floor, Suite 1003 New Haven, CT 06520, USA.
Monica B DhakarDepartment of Neurology, The Warren Alpert Medical School of Brown University, 593 Eddy St, APC 5, Providence, RI 02903, USA.
Aaron F StruckDepartment of Neurology, UW Medical Foundation Centennial building, 1685 Highland Avenue, Madison, WI 53705, USA; William S Middleton Veterans Hospital, Madison WI, USA.
University of Wisconsin Foundation · USBrown University · USYale University · US

Funding

The Juvenile Myoclonic Epilepsy Connectome ProjectR01NS111022 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI STRUCK, AARON F · 2020 to 2024
$3.1M
NINDS NIH HHS R01 NS111022
6 · The paper itself

Abstract

Identifying and treating critically ill patients with seizures can be challenging. In this article, the authors review the available data on patient populations at risk, seizure prognostication with tools such as 2HELPS2B, electrographic seizures and the various ictal-interictal continuum patterns with their latest definitions and associated risks, ancillary testing such as imaging studies, serum biomarkers, and invasive multimodal monitoring. They also illustrate 5 different patient scenarios, their treatment and outcomes, and propose recommendations for targeted treatment of electrographic seizures in critically ill patients.

Indexed as

Critical IllnessElectroencephalographyBiomarkersHumansRisk FactorsSeizuresBiomarkers2HELPS2B scoreContinuous EEGCritical illnessElectrographic seizuresIIC pattern

Identifiers

PMID36270698
PMCPMC10508310
OpenAlexW4297542311

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.