ReviewCurrent neurology and neuroscience reports2012
Continuous EEG monitoring in the intensive care unit.
Review in Current neurology and neuroscience reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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.
Who cites it
13 citing papers in PubMed, 44 citations in OpenAlex.
- Article
- Implementation of 2HELPS2B Seizure Risk Score: A Cost-Effective Approach to Seizure Detection in the Intensive Care Units.Neurology. Clinical practice · 2025Article
- Early seizures and risk of epilepsy and death after intracerebral haemorrhage: The MUCH Italy.European stroke journal · 2024Observational
- Deep-Learning-Based Automated Anomaly Detection of EEGs in Intensive Care Units.Bioengineering (Basel, Switzerland) · 2024Article
- A scalable platform for acquisition of high-fidelity human intracranial EEG with minimal clinical burden.PloS one · 2024Article
- Rapid annotation of seizures and interictal-ictal-injury continuum EEG patterns.Journal of neuroscience methods · 2021Article
- Detecting Seizures and Epileptiform Abnormalities in Acute Brain Injury.Current neurology and neuroscience reports · 2020Review
- Detection Analysis of Epileptic EEG Using a Novel Random Forest Model Combined With Grid Search Optimization.Frontiers in human neuroscience · 2019Article
- The Prevalence and Impact of Status Epilepticus Secondary to Intracerebral Hemorrhage: Results from the US Nationwide Inpatient Sample.Neurocritical care · 2018Article
- Prevalence and Risk Factors for Early Seizure in Patients with Traumatic Brain Injury: Analysis from National Trauma Data Bank.Neurocritical care · 2017Article
- Improved epileptic seizure detection combining dynamic feature normalization with EEG novelty detection.Medical & biological engineering & computing · 2016Article
- DETECT: a MATLAB toolbox for event detection and identification in time series, with applications to artifact detection in EEG signals.PloS one · 2013Article
- Lateralized Periodic Discharges are Predictive of Seizures in Patients with Intracerebral Hemorrhage.Annals of Indian Academy of NeurologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the past 15 years, the increased availability and use of continuous electroencephalography (cEEG) in critically ill patients has substantially changed our understanding of the injured brain. We have become increasingly aware that electrographic seizures in this population may have only subtle or no clinical signs and that cEEG greatly increases the likelihood of detecting these seizures. This review highlights the rationale behind using cEEG rather than routine EEG for detection of nonconvulsive seizures and nonconvulsive status epilepticus in critically ill patients and defines which patients are at greatest risk. It also describes other applications of cEEG in the intensive care unit and how it may play an important role in monitoring brain function.
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What OpenQuestion holds
Registered trials
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.