Evidence map›Paper›PMID 40535698›Full record

ArticleFrontiers in pediatrics2025

Continuous video recording with simultaneous amplitude-integrated EEG monitoring to improve seizure recognition in newborns.

Anup Kage, Yesenia C Santana, Ivone L Malcolm, Caroline Francia, Michael Yoong, David Wertheim, Divyen Shah

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Anup KageBlizzard Institute, Centre for Genomics, Queen Mary University of London, London, United Kingdom.
Yesenia C SantanaBlizzard Institute, Centre for Genomics, Queen Mary University of London, London, United Kingdom.
Ivone L MalcolmNeonatal Intensive Care Unit, The Royal London Hospital, London, United Kingdom.
Caroline FranciaNeonatal Intensive Care Unit, The Royal London Hospital, London, United Kingdom.
Michael YoongNeonatal Intensive Care Unit, The Royal London Hospital, London, United Kingdom.
David WertheimSchool of Computer Science and Mathematics, Kingston University, Kingston upon Thames, United Kingdom.
Divyen ShahNeonatal Intensive Care Unit, The Royal London Hospital, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Seizures in newborn infants are considered a neurological emergency requiring prompt treatment to limit exacerbation of brain injury. Digital monitors incorporating limited channel raw EEG and amplitude-integrated EEG (aEEG/EEG) are widely used. This study aimed to determine if continuous video recording with simultaneous aEEG/EEG recording enhances seizure recognition. Methods: Newborns at risk of seizures who underwent neuromonitoring with aEEG/EEG were prospectively recruited to an observational study in a tertiary neonatal centre. Video recordings were commenced after obtaining written consent from parents. Results: Simultaneous video recordings with aEEG/EEG were obtained in 15/47 newborns recruited to study. A total of 116 electrographic seizure episodes were detected on aEEG/EEG when a total of 56 episodes of abnormal movements were noted on video recordings. Only 8 of these abnormal movements had simultaneous electrographic seizures on aEEG. Conclusion: Use of simultaneous video and aEEG/EEG recordings in newborns at risk of seizures is feasible. It not only assists confirmation of the presence of seizures but may also help in identifying movements associated with abnormal neurology that are not seizures.

Indexed as

abnormal movementsaEEGEEGnewborn seizuresvideo recordings

Identifiers

PMID40535698
PMCPMC12174451

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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.