Evidence map›Paper›PMID 31657134›Full record

ArticleAnnals of clinical and translational neurology2019

Electroencephalographic biomarkers of epilepsy development in patients with acute brain injury: a matched, parallel cohort study.

Vineet Punia, Zachary Fitzgerald, Xiaoming Zhang, Huan Huynh, James Bena, Shannon Morrison, Christopher R Newey, Stephen Hantus

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical and translational neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  7. Long-term continuation of anti-seizure medications after acute stroke.Annals of clinical and translational neurology · 2021
    Article
  8. Article
  9. Review
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  11. Continuous electroencephalography characteristics and acute symptomatic seizures in COVID-19 patients.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2020
    Article
  12. Article
  13. Article
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

8 authors at 2 institutions in 1 country.

Vineet PuniaEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, 44106.ORCID 0000-0002-0552-6736
Zachary FitzgeraldEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, 44106.
Xiaoming ZhangEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, 44106.
Huan HuynhEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, 44106.
James BenaDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, 44106.
Shannon MorrisonDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, 44106.
Christopher R NeweyEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, 44106.
Stephen HantusEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, 44106.
Cleveland Clinic · USCleveland Clinic Lerner College of Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study was designed to investigate if highly epileptic electroencephalogram (EEG) findings in patients with acute brain injury increase the long-term risk of epilepsy development.

methodsAdults patients, lacking epilepsy history, with electrographic seizures or lateralized periodic discharges (LPDs) (cases) were identified and matched based on age, mental status, and etiology with the ones lacking any epileptiform activity (controls) on continuous EEG (cEEG) during hospitalization. The primary outcome of clinical seizures after hospital discharge and their antiepileptic drug (AED) status was determined using a telephonic interview. Logistic regression models using generalized estimating equations to account for the matched nature of the data were performed.

resultsA total of 70 cases [16 (22.9%) "LPDs only," 34 (48.6%) "electrographic seizure only," and 20 (28.6%) "both"] and controls were enrolled. A total of 22 (31.4%) cases developed epilepsy after a mean follow-up duration of 20.6 ± 5.0 months compared to three (4.3%) controls. After adjusting for cEEG indication and follow-up duration, the odds of cases developing epilepsy were almost 15 times higher compared to the controls (OR = 14.8, 95% CI = 2.4-92.3, P = 0.004). This elevated risk was despite a 10 times higher likelihood of cases to be taking AEDs at the last follow-up (OR = 10.34, 95% CI = 3.7-29, P < 0.001).

interpretationHighly epileptic EEG findings in patients with acute brain injury may serve as prognostic biomarkers of epilepsy development. Although prospective studies are required to confirm our findings, it seems that with epilepsy developing in almost one-third cases in less than 2-year follow-up period, such patients may potentially be ideal candidates for epilepsy prevention clinical trials.

Indexed as

AdultAgedBrain InjuriesCohort StudiesElectroencephalographyEpilepsyFemaleHumansMaleMiddle Aged

Identifiers

PMID31657134
PMCPMC6856614
OpenAlexW2981743619

What OpenQuestion holds

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LicenceCC BY
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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.