Evidence map›Paper›PMID 36215818›Full record

ArticlePediatric neurology2022

Characterizing Sleep Phenotypes in Children With Newly Diagnosed Epilepsy.

Temitayo Oyegbile-Chidi, Danielle Harvey, David Dunn, Jana Jones, Bruce Hermann, Anna Byars, Joan Austin

Open access · hybridAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The Relationship Between Sleep, Epilepsy, and Development: a Review.Current neurology and neuroscience reports · 2023
    Review
  5. Article
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

7 authors at 5 institutions in 1 country.

Temitayo Oyegbile-ChidiDepartment of Neurology, University of California Davis, Sacramento, California. Electronic address: oyegbilechidi@ucdavis.edu.
Danielle HarveyDepartment of Public Health Sciences, University of California Davis, Sacramento, California.
David DunnDepartments of Psychiatry and Neurology, Indiana University, Indianapolis, Indiana.
Jana JonesDepartment of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
Bruce HermannDepartment of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
Anna ByarsDepartment of Pediatrics, Cincinnati Children's Hospital at the University of Cincinnati, Cincinnati, Ohio.
Joan AustinDistinguished Professor Emerita, School of Nursing, Indiana University, Indianapolis, Indiana.
Indiana University – Purdue University Indianapolis · USUniversity of Wisconsin–Madison · USCincinnati Children's Hospital Medical Center · USUniversity of California, Davis · USUniversity of California System · US

Funding

UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
Institutional Career Development Core (KL2)KL2TR001859 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HOLMES, JAMES F. · 2016 to 2025
$10.1M
CHILDHOOD EPILEPSY-- FACTORS AFFECTING ADAPTATIONR37NS022416 · NINDS · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI AUSTIN, JOAN K · 2000 to 2006
$4.5M
CHILDHOOD EPILEPSY: FACTORS AFFECTING ADAPTATIONR01NS022416 · NINDS · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI AUSTIN, JOAN K · 1986 to 1999
–
NCATS NIH HHS KL2 TR001859NCATS NIH HHS UL1 TR001860NINDS NIH HHS R01 NS022416NINDS NIH HHS R37 NS022416
6 · The paper itself

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.

Indexed as

EpilepsySleep Wake DisordersHumansPhenotypeSeizuresSleepBehaviorCognitionPediatric epilepsyPhenotype clustersSleep disturbance

Identifiers

PMID36215818
PMCPMC9970008
OpenAlexW4293564095

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.