Evidence map›Paper›PMID 33603636›Full record

ArticleJournal of Taibah University Medical Sciences2021

Electroencephalography findings in childhood epilepsy in a Saudi population: Yield, pattern and determinants of abnormality.

Lukman F Owolabi, AbdulRazeq A Reda, Raafat E Ahmed, Okezie O Enwere, Bappa Adamu, Mushabab AlGhamdi

Open access · goldAbstract read
In one paragraph

Article in Journal of Taibah University Medical Sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 82% 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Lukman F OwolabiDepartment of Medicine, College of Medicine, University of Bisha, Bisha, KSA.
AbdulRazeq A RedaDepartment of Medicine, College of Medicine, University of Bisha, Bisha, KSA.
Raafat E AhmedDepartment of Medicine, King Abdullah Hospital, Bisha, KSA.
Okezie O EnwereDepartment of Medicine, King Abdullah Hospital, Bisha, KSA.
Bappa AdamuDepartment of Medicine, College of Medicine, University of Bisha, Bisha, KSA.
Mushabab AlGhamdiDepartment of Medicine, College of Medicine, University of Bisha, Bisha, KSA.
University of Bisha · SAKing Abdullah Medical City · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe study was designed to evaluate the yield, pattern, and factors that are independently associated with electroencephalography (EEG) abnormalities in childhood epilepsy in a Saudi population.

methodsWe characterised the features of the first EEG and evaluated the associated factors in children with epilepsy in a Saudi population. The features of interictal epileptiform discharges (interictal epileptiform activity (IEA)) adopted by the International Federation of Societies for Electroencephalography and Clinical Neurophysiology were used in the study.

resultA total of 756 paediatric patients, comprised of 427 men (56.5%) and 329 women (43.5%) with a clinical diagnosis of epilepsy, underwent EEG. Clinically, seizure was generalised in 619 (81.9%) patients and focal in 137 (18.1%). Among the patients, 397 (52.51%) had an abnormal EEG, while EEG was normal in 359 (47.49%) patients. Seizure frequency, gender, family history of epilepsy, and age were independent predictors of the presence of EEG abnormalities.

conclusionThis study revealed a yield of 52% abnormal EEG findings in children with epilepsy. Age, gender, family history, and seizure frequency were independent predictors of the presence of EEG abnormalities in childhood epilepsy.

Indexed as

ChildrenElectroencephalographyEpilepsyPredictorsYield

Identifiers

PMID33603636
PMCPMC7858024
OpenAlexW3109013595

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LicenceCC BY-NC-ND
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