Evidence map›Paper›PMID 30472660›Full record

ArticleArchives of disease in childhood. Fetal and neonatal edition2019

Characterisation of neonatal seizures and their treatment using continuous EEG monitoring: a multicentre experience.

Janet M Rennie, Linda S de Vries, Mats Blennow, Adrienne Foran, Divyen K Shah, Vicki Livingstone, Alexander C van Huffelen, Sean R Mathieson, Elena Pavlidis, Lauren C Weeke and 7 more

3 registry-linked trialsOpen access · hybridAbstract readMulticenter Study
In one paragraph

Article in Archives of disease in childhood. Fetal and neonatal edition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
10.9field-weighted citation impact, top 1% 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.

NCT02160171 completednot on this map

A Multicentre Clinical Evaluation of a Decision Support Algorithm for Neonatal Seizure Detection

TypeobservationalSponsorUniversity College CorkRan2013 to 2015Enrolled240ConditionsNeonatal SeizuresArmsAlgorithm for Neonatal Seizure Recognition
NCT04991779 withdrawnnot on this mapstarted 2022, after this paper: background citation

A Multicenter Diagnostic Study on the Utility of AI-assisted Continue EEG Diagnosis of Neonatal Seizures

TypeobservationalSponsorChildren's Hospital of Fudan UniversityRan2022 to 2022Enrolled0ConditionsNeonatal SeizureArmsAI-assisted cEEG detection tool
NCT05036395 naunknown statusnot on this mapstarted 2022, after this paper: background citation

AI-assisted cEEG Diagnosis of Neonatal Seizures to Optimize the Administration of Antiseizure Medication: a Multicenter, Randomised, Controlled Trial

TypeinterventionalSponsorChildren's Hospital of Fudan UniversityRan2022 to 2024Enrolled1,000ConditionsNeonatal SeizureArmsThe routine assessment protocol and AI-assisted cEEG Diagnostic tool, The routine assessment protocol
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 81 citations in OpenAlex.

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  13. Questions and Controversies in Neonatal Seizures.Children (Basel, Switzerland) · 2023
    Review
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  16. Continuous electroencephalography in the intensive care unit: A critical review and position statement from an Australian and New Zealand perspective.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2023
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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

17 authors at 8 institutions in 4 countries.

Janet M RennieInstitute of Women's Health University College London, London, UK.
Linda S de VriesUniversity Medical Center Utrecht, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-7282-8304
Mats BlennowDepartment of Neonatology, Karolinska University Hospital, Stockholm, Sweden.
Adrienne ForanRotunda Hospital, Dublin, Ireland.
Divyen K ShahRoyal London Hospital, London, UK.
Vicki LivingstoneIrish Centre for Fetal and Neonatal Translational Research (INFANT), Cork, Ireland.
Alexander C van HuffelenClinical Neurophysiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Sean R MathiesonIrish Centre for Fetal and Neonatal Translational Research (INFANT), Cork, Ireland.
Elena PavlidisIrish Centre for Fetal and Neonatal Translational Research (INFANT), Cork, Ireland.
Lauren C WeekeUniversity Medical Center Utrecht, Utrecht, The Netherlands.
Mona C ToetUniversity Medical Center Utrecht, Utrecht, The Netherlands.
Mikael FinderDepartment of Neonatology, Karolinska University Hospital, Stockholm, Sweden.
Raga Mallika PinnamaneniCLINTEC, Karolinska Institute, Solna, Sweden.
Deirdre M MurrayIrish Centre for Fetal and Neonatal Translational Research (INFANT), Cork, Ireland.ORCID http://orcid.org/0000-0002-2201-9912
Anthony C RyanDepartment of Paediatrics and Child Health, University College Cork, Cork, Ireland.ORCID http://orcid.org/0000-0002-2509-4416
William P MarnaneIrish Centre for Fetal and Neonatal Translational Research (INFANT), Cork, Ireland.
Geraldine B BoylanIrish Centre for Fetal and Neonatal Translational Research (INFANT), Cork, Ireland.
University College Cork · IEUniversity Medical Center Utrecht · NLKarolinska University Hospital · SEInfant · IEKarolinska Institutet · SEQueen Mary University of London · GBRotunda Hospital · IEUniversity College London · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectiveThe aim of this multicentre study was to describe detailed characteristics of electrographic seizures in a cohort of neonates monitored with multichannel continuous electroencephalography (cEEG) in 6 European centres.

methodsNeonates of at least 36 weeks of gestation who required cEEG monitoring for clinical concerns were eligible, and were enrolled prospectively over 2 years from June 2013. Additional retrospective data were available from two centres for January 2011 to February 2014. Clinical data and EEGs were reviewed by expert neurophysiologists through a central server.

resultsOf 214 neonates who had recordings suitable for analysis, EEG seizures were confirmed in 75 (35%). The most common cause was hypoxic-ischaemic encephalopathy (44/75, 59%), followed by metabolic/genetic disorders (16/75, 21%) and stroke (10/75, 13%). The median number of seizures was 24 (IQR 9-51), and the median maximum hourly seizure burden in minutes per hour (MSB) was 21 min (IQR 11-32), with 21 (28%) having status epilepticus defined as MSB>30 min/hour. MSB developed later in neonates with a metabolic/genetic disorder. Over half (112/214, 52%) of the neonates were given at least one antiepileptic drug (AED) and both overtreatment and undertreatment was evident. When EEG monitoring was ongoing, 27 neonates (19%) with no electrographic seizures received AEDs. Fourteen neonates (19%) who did have electrographic seizures during cEEG monitoring did not receive an AED.

conclusionsOur results show that even with access to cEEG monitoring, neonatal seizures are frequent, difficult to recognise and difficult to treat. OBERSERVATION STUDY NUMBER: NCT02160171.

Indexed as

Hypoxia-Ischemia, BrainInfant, Newborn, DiseasesMetabolism, Inborn ErrorsSeizuresStrokeAnticonvulsantsCohort StudiesElectroencephalographyEuropeFemaleHumansInfant, NewbornMaleMonitoring, PhysiologicNeurologic ExaminationRetrospective StudiesAnticonvulsantsantiepileptic drugclin neurophysiologyEEGneonatologyseizures

Identifiers

PMID30472660
PMCPMC6788873
OpenAlexW2902222279

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.