ArticlePediatric neurology2022
Characterizing Sleep Phenotypes in Children With Newly Diagnosed Epilepsy.
Article in Pediatric neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
The trial behind it
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Autism Spectrum Disorder: Sleep Characteristics in Children and Adolescents, and Their Relationship with Probable Sleep Bruxism, Anxiety, and Cortisol and Melatonin Levels-A Cross-Sectional Study of Children in Brazil.Journal of autism and developmental disorders · 2025Article
- Sleep Disturbance Phenotype Trajectories and Associated Multimorbidity in Children With New-Onset Seizures Over 36 Months.Pediatric neurology · 2025Article
- Advances in understanding the pathogenesis of epilepsy: Unraveling the molecular mechanisms: A cross-sectional study.Health science reports · 2024Article
- The Relationship Between Sleep, Epilepsy, and Development: a Review.Current neurology and neuroscience reports · 2023Review
- Article
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundChildren with epilepsy frequently have sleep, behavior, and cognitive problems at the time of or before the epilepsy diagnosis. The primary goal of this study was to determine if specific sleep disturbance phenotypes exist in a large cohort of children with new-onset epilepsy and if these phenotypes are associated with specific cognitive and behavioral signatures.
methodsA total of354 children with new-onset epilepsy, aged six to 16 years, were recruited within six weeks of initial seizure onset. Each child underwent evaluation of their sleep along with self, parent, and teacher ratings of emotional-behavioral status. Two-step clustering using sleep disturbance (Sleep Behavior Questionnaire), naps, and sleep latency was employed to determine phenotype clusters.
resultsAnalysis showed three distinct sleep disturbance phenotypes-minimal sleep disturbance, moderate sleep disturbance, and severe sleep disturbance phenotypes. Children who fell into the minimal sleep disturbance phenotype had an older age of onset with the best cognitive performance compared with the other phenotypes and the lowest levels of emotional-behavioral problems. In contrast, children who fell into the severe sleep disturbance phenotype had the youngest age of onset of epilepsy with poor cognitive performance and highest levels of emotional-behavioral problems.
conclusionsThis study indicates that there are indeed specific sleep disturbance phenotypes that are apparent in children with newly diagnosed epilepsy and are associated with specific comorbidities. Future research should determine if these phenotypic groups persist over time and are predictive of long-term difficulties, as these subgroups may benefit from targeted therapy and intervention.
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