Evidence map›Paper›PMID 40792222›Full record

ArticleEpilepsy & behavior reports2025

Implementation of a digital health tool for seizure video transfer in a pediatric epilepsy center: A prospective pilot study.

Rahel M Burger, Gadi Miron, Pascal Fenske, Cornelia Potratz, Angela M Kaindl, Christian Meisel

Abstract read
In one paragraph

Article in Epilepsy & behavior reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. 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

6 authors.

Rahel M BurgerCharité-Universitätsmedizin Berlin, Department of Pediatric Neurology and Center for Chronically Sick Children, Berlin, Germany.
Gadi MironComputational Neurology, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Pascal FenskeCharité-Universitätsmedizin Berlin, Department of Pediatric Neurology and Center for Chronically Sick Children, Berlin, Germany.
Cornelia PotratzCharité-Universitätsmedizin Berlin, Department of Pediatric Neurology and Center for Chronically Sick Children, Berlin, Germany.
Angela M KaindlCharité-Universitätsmedizin Berlin, Department of Pediatric Neurology and Center for Chronically Sick Children, Berlin, Germany.
Christian MeiselComputational Neurology, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Home videos are increasingly presented in clinical practice, and secure digital tools for clinical video sharing are urgently needed. This study evaluated the feasibility of a secure video-sharing digital platform in pediatric epilepsy diagnostics. We conducted a prospective pilot study that included 60 children (median age 5.5 years) with suspected seizures and their caregivers at a tertiary pediatric center. Participants were invited to submit videos of suspected events through a secure smartphone application. Videos were reviewed by an epileptologist and in parallel participants underwent standard diagnostic evaluation. Outcome measures included video quality, concordance of video assessment with diagnostic workup, and user evaluation questionnaires. Of recruited participants, 16 (26.7 %) used the app to submit 81 videos (median 5.1 videos per patient), with 94 % (76/81 videos) having sufficient quality for meaningful clinical review. Among these participants, 11 (68.8 %) had confirmed epilepsy as their final diagnosis, while 5 (31.2 %) did not. Expert review classified 48.1 % of videos as likely epileptic events, with generalized tonic-clonic seizures being most common (24.7 %). Concordance between submitted videos and final clinical diagnosis was demonstrated in 68.8 % of cases, with higher concordance significantly related to the number of videos submitted (mean 6.4 vs. 2.2 videos per patient, p = 0.04). User evaluation showed favorable ratings for app usability (mean score 5.4/7). This study demonstrates the feasibility of secure digital video transfer in pediatric epilepsy diagnostics, emphasizing the importance of multiple video submissions for accurate diagnosis. Future implementation should address barriers to wider adoption and investigate clinical impact.

Indexed as

Digital healthEpilepsy diagnosisPediatric epilepsyVideo messaging

Identifiers

PMID40792222
PMCPMC12337875

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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.