Evidence map›Paper›PMID 40758441›Full record

ArticleEpilepsia open2025

Enhancing sudden unexpected death in epilepsy (SUDEP) research through development of common data elements.

Sloka S Iyengar, Elaine K O'Loughlin, Lauren Harte-Hargrove, Mary Holmay, Laura S Lubbers, CURE Epilepsy SUDEP Data Standardization Project Steering Committee, CURE Epilepsy SUDEP Data Standardization Project Working Group Members

Abstract read
In one paragraph

Article in Epilepsia open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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.

Elaine K O'LoughlinCURE Epilepsy, Chicago, Illinois, USA.
Lauren Harte-HargroveCURE Epilepsy, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0001-5678-9184
Mary HolmayCURE Epilepsy, Chicago, Illinois, USA.
Laura S LubbersCURE Epilepsy, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0002-1645-9356
CURE Epilepsy SUDEP Data Standardization Project Steering CommitteeCURE Epilepsy, Chicago, Illinois, USA.
CURE Epilepsy SUDEP Data Standardization Project Working Group MembersCURE Epilepsy, Chicago, Illinois, USA.

Funding

Biomarkers of SUDEP risk based on brain-heart-lungs network dynamicsR01NS129643 · NINDS · SOUTHERN METHODIST UNIVERSITY · PI GLASSCOCK, ALBERT E, JASSEMIDIS, LEONIDAS D · 2023 to 2025
$1.8M
Development of a Genetic Rabbit Model of Kcnh2-Mediated Epilepsy, SUDEP, & Long QT Syndrome Type 2R61NS133273 · NINDS · UPSTATE MEDICAL UNIVERSITY · PI AUERBACH, DAVID SCOTT · 2023 to 2024
$702k
Development of a Genetic Rabbit Model of Kcnh2-Mediated Epilepsy, SUDEP, & Long QT Syndrome Type 2R33NS133273 · NINDS · UPSTATE MEDICAL UNIVERSITY · PI David Scott Auerbach · 2025 to 2026
$621k
CURE EpilepsyNINDS NIH HHS R01 NS129643NINDS NIH HHS R33 NS133273NINDS NIH HHS R61 NS133273
6 · The paper itself

Abstract

objectiveSudden Unexpected Death in Epilepsy (SUDEP) is a fatal complication for individuals living with epilepsy and is associated with significant personal and public burden. While certain neurotransmitters and neuronal pathways have been associated with SUDEP, the exact biological mechanisms are unknown. Preclinical research has been instrumental in providing clues to the underlying pathology but is limited by a lack of standardized methodologies for describing and collecting data. A key outcome of the Basic Science working group of the 2020 SUDEP Coalition Summit was the recognition that the development of standardized tools would greatly enhance SUDEP research. Such a research infrastructure would increase experimental rigor, repeatability, reproducibility, and transparency and finally, increase the chances that preclinical SUDEP research can be translated into human SUDEP.

methodsCURE Epilepsy assembled a Steering Committee and working groups consisting of experts in preclinical and clinical SUDEP research to develop Common Data Elements (CDEs) and Case Report Forms (CRFs) to enable standardization and translation of preclinical SUDEP data. Standardized methodology from the development of other epilepsy-related CDEs was used.

resultsThe Core and Death-Related Information CRF constitutes the priority CRF for SUDEP preclinical studies. This CRF gives investigators CDEs to note details of animal models used, experiment-related information, and details about triggered and spontaneous seizures. The seizure-related death information consists of CDEs related to observations at the time of death, characteristics of fatal seizures, the posture of the animal at the time of death, diet, medications, and any adverse health conditions. SIGNIFICANCE: Systematic use of CDEs and CRFs in SUDEP preclinical research can help increase the rigor and transparency of research. Core CDEs along with supplemental CDEs described in the accompanying manuscript can aid investigators and groups working together toward a common goal of preventing SUDEP. PLAIN LANGUAGE SUMMARY: Sudden Unexpected Death in Epilepsy (SUDEP) is a fatal complication of epilepsy. Preclinical research holds promise in understanding and preventing SUDEP, but its impacts are limited due to a lack of data standardization and translation among research groups. Common data elements (CDEs) are essential pieces of information for a certain field of study. CURE Epilepsy brought together a team of researchers to develop CDEs that could serve as a blueprint for all SUDEP preclinical researchers. This paper describes the SUDEP Core and Death-Related CDEs to be used with data elements presented in an accompanying paper.

Indexed as

Biomedical ResearchCommon Data ElementsDeath, SuddenEpilepsySudden Unexpected Death in EpilepsyAnimalsHumanscase report formcommon data elementsCorestandardizationSUDEPtranslation

Identifiers

PMID40758441
PMCPMC12514369

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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.