Evidence map›Paper›PMID 40890293›Full record

ArticleScientific reports2025

A shared frailty model for assessing time to seizure remission in adults with epilepsy.

Abiy Disasa Jote, Mesfin Esayas Lelisho, Wegayehu Enbeyle Sheferaw

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Article in Scientific reports, 2025. 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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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Abiy Disasa JoteDepartment of Statistics, College of Natural Science, Jimma University, Jimma, Ethiopia.
Mesfin Esayas LelishoDepartment of Statistics, College of Natural and Computational Sciences, Mizan-Tepi University, Tepi, Ethiopia. mesfinstat27@gmail.com.ORCID https://orcid.org/0000-0002-3207-1829
Wegayehu Enbeyle SheferawDepartment of Statistics, College of Natural and Computational Sciences, Mizan-Tepi University, Tepi, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epilepsy remains a significant global health concern with increasing prevalence and incidence. This study aimed to model the time to first remission among epilepsy patients at Jimma University Medical Center, Ethiopia, using parametric shared frailty models. A retrospective study was conducted on epilepsy patients treated between 1st January 2018 and 30th December 2023. All patients received anti-seizure medications (ASMs) upon enrollment. Additionally, 12% of the cohort had received ASM treatment prior to enrollment outside JUMC. Log-logistic, log-normal, and Weibull baseline hazard functions were combined with gamma and inverse Gaussian frailty distributions to model time to first remission. Model selection was based on the Akaike Information Criterion (AIC). The median time for patients to achieve their first seizure remission was 38 months, with 45.5% (95% CI: 40.9-50.1%) of patients experiencing remission. The variability in remission times across different districts, as modelled by the log-normal-inverse Gaussian shared frailty model, was estimated to be θ = 0.454. Patients aged 25-44 years (acceleration factor 1.13 [95% CI 1.04-1.23], p = 0.005], those with more than five pre-treatment seizures (acceleration factor 1.08 [95% CI 1.02-1.15, p = 0.018]), and individuals with focal epilepsy (acceleration factor 1.15 [95% CI 1.07-1.25, p = 0.003]) were associated with significantly longer remission times compared to other patient groups while those with good treatment adherence (acceleration factor 0.88 [95% CI 0.81-0.96, p = 0.005]) were associated with significantly shorter remission times compared to poor treatment adherence. The log-normal-inverse Gaussian shared frailty model offers valuable insights into the variability of remission patterns among patients. Specifically, individuals aged 25-44 years, those with a history of more than five pre-treatment seizures, and patients with focal epilepsy experienced significantly longer remission times. In contrast, patients who adhered well to their treatment regimens achieved remission more quickly than other groups.

Indexed as

AnticonvulsantsEpilepsyFrailtySeizuresAdolescentAdultEthiopiaFemaleHumansMaleMiddle AgedModels, StatisticalRemission InductionRetrospective StudiesTime FactorsYoung AdultAnticonvulsantsClustering effectEpilepsySeizure remissionShared frailtySurvival analysis

Identifiers

PMID40890293
PMCPMC12402454

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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 Socratic graph.