Evidence map›Paper›PMID 42766076›Full record

ReviewCurrent neurology and neuroscience reports2026

Electroencephalography Monitoring for Seizure Risk Stratification in the Critically III.

Marshall Harris, Faris Almubaslat, Clio Rubinos

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In one paragraph

Review in Current neurology and neuroscience reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Marshall HarrisDepartment of Neurology, University of North Carolina, 170 Manning Drive, Physician Office, CB 7025, Chapel Hill, NC, 27599-7025, USA.
Faris AlmubaslatDepartment of Neurology, University of North Carolina, 170 Manning Drive, Physician Office, CB 7025, Chapel Hill, NC, 27599-7025, USA.
Clio RubinosDepartment of Neurology, University of North Carolina, 170 Manning Drive, Physician Office, CB 7025, Chapel Hill, NC, 27599-7025, USA. crubinos@unc.edu.ORCID http://orcid.org/0000-0002-1680-2302

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewSeizures and epileptiform abnormalities (EAs) are common in critically ill patients, are frequently clinically silent, and are associated with worse outcomes. Continuous electroencephalography (cEEG) remains an essential tool in the diagnosis and management of electrographic seizures (ESz) and EAs in this population, leading to its increased use in critical settings. However, cEEG is resource-intensive, and prolonged monitoring for all patients may not be feasible or necessary in many practice environments. RECENT

findingsThe growing demand for cEEG in critically ill patients has created a need for strategies that optimize its use and prioritize monitoring for patients at highest seizure risk. This need has supported the development of seizure forecasting and cEEG duration-guided risk-stratification approaches. The 2HELPS2B score incorporates early EEG and clinical features to estimate seizure risk, guide monitoring duration, and supports more efficient use of cEEG resources. It has been validated and clinically implemented in critical care settings. This review outlines the evolution and importance of cEEG in critical care, beginning with the recognition that many seizures in this population are electrographic, followed by the identification of rhythmic or periodic patterns and their clinical significance, the expanding use of cEEG, the clinical characterization of patients at highest seizure risk, and the development of the 2HELPS2B score to guide efficient cEEG utilization.

Indexed as

Critical CareCritical IllnessElectroencephalographySeizuresHumansRisk AssessmentContinuous ElectroencephalogramCritical careICU EEG, status epilepticusSeizures

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Registered trials

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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.