Evidence map›Paper›PMID 42638668›Full record

ReviewFrontiers in neurology2026

Pathophysiological frameworks and emerging preventative strategies in SUDEP.

Chenxi Xu, Yiyuan Wang, Suping Nie, Jia Gao, Yunxiang Guan

Abstract readReview
In one paragraph

Review in Frontiers in neurology, 2026. 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

5 authors.

Chenxi Xu *First Clinical Medical College of Henan University of Chinese Medicine, Zhengzhou, Henan, China.
Yiyuan Wang *First Clinical Medical College of Henan University of Chinese Medicine, Zhengzhou, Henan, China.
Suping Nie *First Clinical Medical College of Henan University of Chinese Medicine, Zhengzhou, Henan, China.
Jia Gao *First Clinical Medical College of Henan University of Chinese Medicine, Zhengzhou, Henan, China.
Yunxiang Guan *Department of Encephalopathy, The First Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sudden Unexpected Death in Epilepsy (SUDEP) represents a leading cause of epilepsy-related mortality, reflecting a severe disruption of systemic physiology that remains challenging to address using standard clinical protocols. Although generalized tonic-clonic seizures (GTCS) and pharmacoresistance are established risk indicators, current clinical risk stratification frequently lacks the predictive granularity required to anticipate individual cardiorespiratory collapse. This review provides a comprehensive synthesis of the SUDEP pathophysiological framework, aiming to bridge the gap between retrospective clinical observation and proactive precision medicine. We delineate a translational framework focused on the intrinsic biological susceptibility of the neuro-cardiac axis, particularly the genetic "dual pathology" of channelopathies and structural cardiac remodeling. Furthermore, we evaluate the transition from reactive risk identification toward multimodal "digital phenotyping" leveraging artificial intelligence. Finally, we assess the developmental trajectory of "secondary prevention" strategies, such as automated neurostimulation, designed to interrupt the terminal cascade. By integrating genomic vulnerability with emerging preventative technologies, this review outlines a multidisciplinary approach to transforming SUDEP into a more predictable and preventable clinical entity.

Indexed as

EpilepsySudden Unexpected Death in EpilepsyAnimalsHumansbiomarkerscentral autonomic networkneurostimulationpathophysiologypreventionSUDEP

Identifiers

PMID42638668
PMCPMC13500304

What OpenQuestion holds

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Registered trials

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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.