Evidence map›Paper›PMID 33194127›Full record

ArticleJournal of community hospital internal medicine perspectives2020

Study of electroencephalography in people with generalized epilepsy in a Saudi population.

Lukman Femi Owolabi, AbdulRazeq Ahmed Reda, Raafat El Sayed, Dina Fares Mohamed Morsy, Okezie Oguamanam Enwere, Uchechukwu Agbese Mba, Bappa Adamu, Mushabab AlGhamdi

Open access · goldAbstract read
In one paragraph

Article in Journal of community hospital internal medicine perspectives, 2020. 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, top 84% of its field
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Lukman Femi OwolabiCollege of Medicine, University of Bisha, Bisha, Saudi Arabia.ORCID https://orcid.org/0000-0001-9509-1440
AbdulRazeq Ahmed RedaCollege of Medicine, University of Bisha, Bisha, Saudi Arabia.
Raafat El SayedKing Abdullah Hospital, Bisha, Saudi Arabia.
Dina Fares Mohamed MorsyKing Abdullah Hospital, Bisha, Saudi Arabia.
Okezie Oguamanam EnwereKing Abdullah Hospital, Bisha, Saudi Arabia.
Uchechukwu Agbese MbaKing Abdullah Hospital, Bisha, Saudi Arabia.
Bappa AdamuCollege of Medicine, University of Bisha, Bisha, Saudi Arabia.
Mushabab AlGhamdiCollege of Medicine, University of Bisha, Bisha, Saudi Arabia.
King Abdullah Medical City · SAUniversity of Bisha · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectroencephalography (EEG) remains a vital tool in the diagnostic evaluation of patients with epilepsy (GE), however, there is scarcity of information on the yield and potential clinical variables that are associated with EEG abnormalities in people with GE.

objectiveThe study aimed to evaluate the yield and pattern of EEG abnormalities in patients with GE with the view to determining factors that are independently associated with abnormal EEG in them.

methodsWe characterized EEG features and evaluated associated factors in a sample of people with GE in a Saudi population. Standard definition of interictal epileptiform discharges was used.

resultsA total of 1105 (77%) out of 1436 GE patients had EEG. Five hundred and ninety-five (53.85%) patients had abnormal EEG. Factors associated with EEG abnormalities before adjustment for confounders were age, gender, duration of epilepsy, and seizure frequency. However, only frequency of seizure (P = 0.0018), gender (P < 0.0001), and age (P < 0.0001) were independently associated with EEG abnormalities.

conclusionThe study showed a modest yield (54%) of abnormal EEG in the cohort of patients with GE. Frequency of seizure, age, and gender, independently predicted the presence of EEG abnormality in people living with GE.

Indexed as

Electroencephalographygeneralized epilepsypredictorsyield

Identifiers

PMID33194127
PMCPMC7599013
OpenAlexW3096311290

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