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Interrater agreement in visual scoring of neonatal seizures based on majority voting on a web-based system: The Neoguard EEG database

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dc.creatorDereymaeker, Anneleenspa
dc.creatorAnsari, Amir H.spa
dc.creatorJansen, Katrienspa
dc.creatorJ.Cherian, Perumpillichiraspa
dc.creatorVervisch, Janspa
dc.creatorGovaert, Paulspa
dc.creatorWispelaereg, LeenDespa
dc.creatorDielman, Charlottespa
dc.creatorMatic, Vladimirspa
dc.creatorCaicedo Dorado, Alexanderspa
dc.creatorDe Vosk, Maartenspa
dc.creatorVan Huffel, Sabinespa
dc.creatorNaulaers, Gunnarspa
dc.date.accessioned2020-08-06T16:20:08Z
dc.date.available2020-08-06T16:20:08Z
dc.date.created2017spa
dc.description.abstractObjective To assess interrater agreement based on majority voting in visual scoring of neonatal seizures. Methods An online platform was designed based on a multicentre seizure EEG-database. Consensus decision based on ‘majority voting’ and interrater agreement was estimated using Fleiss’ Kappa. The influences of different factors on agreement were determined. Results 1919 Events extracted from 280 h EEG of 71 neonates were reviewed by 4 raters. Majority voting was applied to assign a seizure/non-seizure classification. 44% of events were classified with high, 36% with moderate, and 20% with poor agreement, resulting in a Kappa value of 0.39. 68% of events were labelled as seizures, and in 46%, all raters were convinced about electrographic seizures. The most common seizure duration was <30 s. Raters agreed best for seizures lasting 60–120 s. There was a significant difference in electrographic characteristics of seizures versus dubious events, with seizures having longer duration, higher power and amplitude. Conclusions There is a wide variability in identifying rhythmic ictal and non-ictal EEG events, and only the most robust ictal patterns are consistently agreed upon. Database composition and electrographic characteristics are important factors that influence interrater agreement. Significance The use of well-described databases and input of different experts will improve neonatal EEG interpretation and help to develop uniform seizure definitions, useful for evidence-based studies of seizure recognition and managementeng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1016/j.clinph.2017.06.250
dc.identifier.issnISSN: 1388-2457
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/25886
dc.language.isoengspa
dc.publisherInternational Federation of Clinical Neurophysiologyspa
dc.publisherElsevierspa
dc.relation.citationEndPage1745
dc.relation.citationIssueNo. 9
dc.relation.citationStartPage1737
dc.relation.citationTitleClinical Neurophysiology, Electroencephalography and Clinical Neurophysiology - Electromyography and Motor Control
dc.relation.citationVolumeVol. 128
dc.relation.ispartofClinical Neurophysiology, ISSN: 1388-2457, Vol.128, No.9 (September 2017); pp.1737-1745spa
dc.relation.urihttps://www.sciencedirect.com/science/article/abs/pii/S1388245717304777spa
dc.rights.accesRightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.accesoRestringido (Acceso a grupos específicos)spa
dc.sourceClinical Neurophysiology, Electroencephalography and Clinical Neurophysiology - Electromyography and Motor Controlspa
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subject.keywordElectrographic seizuresInterrater agreementspa
dc.subject.keywordNeonatal multichannel EEGspa
dc.subject.keywordConsensus agreementspa
dc.subject.keywordSeizure detection algorithmsspa
dc.subject.keywordNeoguardspa
dc.titleInterrater agreement in visual scoring of neonatal seizures based on majority voting on a web-based system: The Neoguard EEG databasespa
dc.title.TranslatedTitleAcuerdo entre evaluadores en la puntuación visual de las convulsiones neonatales basadas en la votación mayoritaria en un sistema basado en la web: la base de datos Neoguard EEGspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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