Evidence map›Paper›PMID 42057682›Full record

ArticleFuture science OA2026

Factors associated with drug-resistant epilepsy in adults from Southern Kazakhstan.

Gulzira Baimakhanova, Nursultan Nurdinov, Gulnaz Nuskabayeva, Nazira Zharkinbekova, Karlygash Sadykova, Akbota Skenderova, Mehmet Ziya Gencer, Islamkhan Doszhanov, Nigara Yerkhojayeva, Assel Anarbayeva and 2 more

Abstract read
In one paragraph

Article in Future science OA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Gulzira BaimakhanovaKhoja Akhmet Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan.ORCID 0000-0003-4090-9182
Nursultan NurdinovKhoja Akhmet Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan.ORCID 0000-0001-5341-7211
Gulnaz NuskabayevaKhoja Akhmet Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan.ORCID 0000-0003-2139-3221
Nazira ZharkinbekovaSouth Kazakhstan Medical Academy, Shymkent, Kazakhstan.ORCID 0000-0002-5069-1562
Karlygash SadykovaKhoja Akhmet Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan.ORCID 0000-0002-9120-8565
Akbota SkenderovaKhoja Akhmet Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan.ORCID 0000-0002-5392-9433
Mehmet Ziya GencerKhoja Akhmet Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan.ORCID 0000-0003-0937-2778
Islamkhan DoszhanovKhoja Akhmet Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan.ORCID 0009-0008-7498-1880
Nigara YerkhojayevaKhoja Akhmet Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan.ORCID 0009-0008-2829-5070
Assel AnarbayevaKhoja Akhmet Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan.ORCID 0009-0002-5797-8379
Shakhista SkenderovaKhoja Akhmet Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan.ORCID 0000-0002-8898-4475
Dana KaldarkhanKhoja Akhmet Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan.ORCID 0000-0001-9234-0413

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe prevalence of drug-resistant epilepsy (DRE) among epilepsy patients has not decreased despite better diagnostic methods and treatment options because it affects approximately one-third of all epilepsy patients. The research aims to identify which clinical patterns and social characteristics contribute to drug resistance.

methodsThis retrospective analytical cross-sectional study included 300 patients with epilepsy in Southern Kazakhstan. The participants received their drug resistance status through ILAE criteria, which classified them into drug-sensitive (DSE) or drug-resistant groups. Patient data was studied through clinical and socio-demographic evaluations, EEG and MRI assessments, and MoCA cognitive performance tests.

resultsThe research discovered drug-resistant epilepsy in 37% of participants. The DRE patients were 35 ± 12 years old at the time of study, while DSE patients were 39 ± 15 years old (p = 0.023). The development of DRE became more likely when patients experienced their first seizure at a young age and when they had multiple seizures throughout the day (p < 0.01). The presence of MRI abnormalities increased the risk of drug resistance by 2.42 times (95% CI: 1.3-4.23) when compared to drug-sensitive epilepsy patients (p = 0.002).

conclusionThe study revealed that early seizure onset, prolonged duration, severe seizures, brain imaging abnormalities, and lower cognitive performance are related to DRE.

Indexed as

cognitive impairmentDrug-resistant epilepsyepilepsyheredityKazakhstan

Identifiers

PMID42057682
PMCPMC13134400

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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.