Evidence map›Paper›PMID 28258936›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2017

Epileptiform abnormalities predict delayed cerebral ischemia in subarachnoid hemorrhage.

J A Kim, E S Rosenthal, S Biswal, S Zafar, A V Shenoy, K L O'Connor, S C Bechek, J Valdery Moura, M M Shafi, A B Patel and 2 more

Abstract read
In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

31 citing papers in PubMed, 59 citations in OpenAlex.

  1. Using artificial intelligence to optimize anti-seizure treatment and EEG-guided decisions in severe brain injury.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
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  11. Automated EEG-based prediction of delayed cerebral ischemia after subarachnoid hemorrhage.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

J A KimMassachusetts General Hospital, Department of Neurology, Harvard Medical School Boston, MA, USA.
E S RosenthalMassachusetts General Hospital, Department of Neurology, Harvard Medical School Boston, MA, USA.
S BiswalMassachusetts General Hospital, Department of Neurology, Harvard Medical School Boston, MA, USA.
S ZafarMassachusetts General Hospital, Department of Neurology, Harvard Medical School Boston, MA, USA.
A V ShenoyMassachusetts General Hospital, Department of Neurology, Harvard Medical School Boston, MA, USA.
K L O'ConnorMassachusetts General Hospital, Department of Neurology, Harvard Medical School Boston, MA, USA.
S C BechekMassachusetts General Hospital, Department of Neurology, Harvard Medical School Boston, MA, USA.
J Valdery MouraMassachusetts General Hospital, Department of Neurology, Harvard Medical School Boston, MA, USA.
M M ShafiBeth Israel Deaconess Hospital, Department of Neurology, Harvard Medical School Boston, MA, USA.
A B PatelMassachusetts General Hospital, Department of Neurosurgery, Harvard Medical School Boston, MA, USA.
S S CashMassachusetts General Hospital, Department of Neurology, Harvard Medical School Boston, MA, USA.
M B WestoverMassachusetts General Hospital, Department of Neurology, Harvard Medical School Boston, MA, USA. Electronic address: mwestover@mgh.harvard.edu.
Harvard University · USMassachusetts General Hospital · USBeth Israel Deaconess Hospital · US

Funding

Neuroscience Resident Research ProgramR25NS065743 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CASH, SYDNEY S, WILLIAMS, ZIV · 2009 to 2023
$11.8M
Quantitative Monitoring and Control of Sedation and Pain in the ICU EnvironmentK23NS090900 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2014 to 2018
$988k
NINDS NIH HHS K23 NS090900NINDS NIH HHS R25 NS065743
6 · The paper itself

Abstract

objectiveTo identify whether abnormal neural activity, in the form of epileptiform discharges and rhythmic or periodic activity, which we term here ictal-interictal continuum abnormalities (IICAs), are associated with delayed cerebral ischemia (DCI).

methodsRetrospective analysis of continuous electroencephalography (cEEG) reports and medical records from 124 patients with moderate to severe grade subarachnoid hemorrhage (SAH). We identified daily occurrence of seizures and IICAs. Using survival analysis methods, we estimated the cumulative probability of IICA onset time for patients with and without delayed cerebral ischemia (DCI).

resultsOur data suggest the presence of IICAs indeed increases the risk of developing DCI, especially when they begin several days after the onset of SAH. We found that all IICA types except generalized rhythmic delta activity occur more commonly in patients who develop DCI. In particular, IICAs that begin later in hospitalization correlate with increased risk of DCI.

conclusionsIICAs represent a new marker for identifying early patients at increased risk for DCI. Moreover, IICAs might contribute mechanistically to DCI and therefore represent a new potential target for intervention to prevent secondary cerebral injury following SAH. SIGNIFICANCE: These findings imply that IICAs may be a novel marker for predicting those at higher risk for DCI development.

Indexed as

Brain WavesBrain IschemiaEpilepsyHumansPeriodicitySubarachnoid HemorrhageContinuous EEG monitoringCortical spreading depolarizationDelayed cerebral ischemiaEpileptiform dischargesIctal-interictal continuumSubarachnoid hemorrhage

Identifiers

PMID28258936
PMCPMC5476529
OpenAlexW2582817875

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.