Evidence map›Paper›PMID 37009468›Full record

ArticleThe Egyptian journal of neurology, psychiatry and neurosurgery2023

Clinical, radiological and electrophysiological predictors for drug-resistant epilepsy.

Noha T Abokrysha, Noha Taha, Reham Shamloul, Samar Elsayed, Wesam Osama, Ghada Hatem

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Article in The Egyptian journal of neurology, psychiatry and neurosurgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

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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

6 authors.

Noha T AbokryshaDepartment of Neurology, Faculty of Medicine, Cairo University, Giza, Egypt.
Noha TahaDepartment of Internal Medicine, Faculty of Medicine, Cairo University, Giza, Egypt.
Reham ShamloulDepartment of Neurology, Faculty of Medicine, Cairo University, Giza, Egypt.
Samar ElsayedDepartment of Neurology, Faculty of Medicine, Cairo University, Giza, Egypt.
Wesam OsamaDepartment of Neurology, Faculty of Medicine, Cairo University, Giza, Egypt.
Ghada HatemDepartment of Neurology, Faculty of Medicine, Cairo University, Giza, Egypt.ORCID 0000-0001-8841-4379

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Epilepsy is the third chronic brain illness worldwide. About a third of the epileptic patients will be drug resistant. Early identification of these patients is critical for appropriate treatment selection and prevention of the devastating consequences of recurrent seizures. The objective of this study aims to detect clinical, electrophysiological, and radiological predictors for drug-resistant epilepsy patients. Results: One hundred fifty-five patients were included in this study, divided into a well-controlled epilepsy group (103 patients) and a drug-resistant group (52 patients). Both groups were compared regarding clinical, electrophysiological, and neuro-radiological data. Younger age at onset, history of delayed milestones, history of perinatal insult (especially hypoxia), mental retardation, neurological deficits, depression, status epilepticus (SE), complex febrile seizures, focal seizure to bilateral tonic-clonic convulsion as well as multiple seizures and high seizure frequency (daily) at onset, poor response to first anti-seizure drug (ASD), structural and metabolic etiology, abnormal brain imaging, and slow background and multifocal epileptiform discharges in EEG were significant risk factors for the development of drug-resistant epilepsy. Conclusion: MRI abnormalities are the most significant predictor for drug-resistant epilepsy. Drug-resistant epilepsy is associated with clinical, electrophysiological, and radiological risk factors that can be used to diagnose drug-resistant patients early and choose the best treatment option and time.

Indexed as

Clinical predictorsDrug-resistant epilepsyEEG abnormalitiesMRI brain

Identifiers

PMID37009468
PMCPMC10052302

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