Evidence map›Paper›PMID 37553387›Full record

ArticleScientific reports2023

Automated analysis of a large-scale paediatric dataset illustrates the interdependent relationship between epilepsy and sleep.

Jelena Skorucak, Bigna K Bölsterli, Sarah Storz, Sven Leach, Bernhard Schmitt, Georgia Ramantani, Reto Huber

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

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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

3 citing papers in PubMed.

  1. Article
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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

7 authors.

Jelena SkorucakChild Development Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.
Bigna K BölsterliChildren's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.
Sarah StorzChild Development Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.
Sven LeachChild Development Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.
Bernhard SchmittChildren's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.
Georgia RamantaniChildren's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.
Reto HuberChild Development Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland. reto.huber@kispi.uzh.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Slow waves are an electrophysiological characteristic of non-rapid eye movement sleep and a marker of the restorative function of sleep. In certain pathological conditions, such as different types of epilepsy, slow-wave sleep is affected by epileptiform discharges forming so-called "spike-waves". Previous evidence shows that the overnight change in slope of slow waves during sleep is impaired under these conditions. However, these past studies were performed in a small number of patients, considering only short segments of the recording night. Here, we screened a clinical data set of 39'179 pediatric EEG recordings acquired in the past 25 years (1994-2019) at the University Children's Hospital Zurich and identified 413 recordings of interest. We applied an automated approach based on machine learning to investigate the relationship between sleep and epileptic spikes in this large-scale data set. Our findings show that the overnight change in the slope of slow waves was correlated with the spike-wave index, indicating that the impairment of the net reduction in synaptic strength during sleep is spike dependent.

Indexed as

EpilepsySleep, Slow-WaveChildElectroencephalographyHumansSleep

Identifiers

PMID37553387
PMCPMC10409812

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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 OpenQuestion graph.