Evidence map›Paper›PMID 39187733›Full record

ReviewLab animal2024

Challenges and future directions of SUDEP models.

JiaXuan Gu, WeiHui Shao, Lu Liu, YuLing Wang, Yue Yang, ZhuoYue Zhang, YaXuan Wu, Qing Xu, LeYuan Gu, YuanLi Zhang and 4 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Lab animal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

14 authors.

JiaXuan Gu *Department of Anesthesiology, the Fourth Clinical School of Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
WeiHui Shao *Department of Anesthesiology, the Fourth Clinical School of Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Lu Liu *Department of Anesthesiology, Zhejiang University School of Medicine, Hangzhou, China.
YuLing Wang *Department of Anesthesiology, the Fourth Clinical School of Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Yue YangDepartment of Anesthesiology, the Fourth Clinical School of Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
ZhuoYue ZhangDepartment of Anesthesiology, Zhejiang University School of Medicine, Hangzhou, China.
YaXuan WuDepartment of Anesthesiology, the Fourth Clinical School of Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Qing XuDepartment of Anesthesiology, Zhejiang University School of Medicine, Hangzhou, China.
LeYuan GuDepartment of Anesthesiology, the Fourth Clinical School of Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
YuanLi ZhangDepartment of Anesthesiology, the Fourth Clinical School of Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Yue ShenDepartment of Anesthesiology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China.
HaiTing ZhaoDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Chang ZengHealth Management Center, Xiangya Hospital, Central South University, Changsha, China.
HongHai ZhangDepartment of Anesthesiology, the Fourth Clinical School of Medicine, Zhejiang Chinese Medical University, Hangzhou, China. zhh0902@zju.edu.cn.ORCID 0000-0003-3530-2060

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81771403National Natural Science Foundation of China (National Science Foundation of China) 81974205National Natural Science Foundation of China (National Science Foundation of China) 82001379Natural Science Foundation of Zhejiang Province (Zhejiang Provincial Natural Science Foundation) LZ20H090001
6 · The paper itself

Abstract

Sudden unexpected death in epilepsy (SUDEP) is the leading cause of death among patients with epilepsy, causing a global public health burden. The underlying mechanisms of SUDEP remain elusive, and effective prevention or treatment strategies require further investigation. A major challenge in current SUDEP research is the lack of an ideal model that maximally mimics the human condition. Animal models are important for revealing the potential pathogenesis of SUDEP and preventing its occurrence; however, they have potential limitations due to species differences that prevent them from precisely replicating the intricate physiological and pathological processes of human disease. This Review provides a comprehensive overview of several available SUDEP animal models, highlighting their pros and cons. More importantly, we further propose the establishment of an ideal model based on brain-computer interfaces and artificial intelligence, hoping to offer new insights into potential advancements in SUDEP research. In doing so, we hope to provide valuable information for SUDEP researchers, offer new insights into the pathogenesis of SUDEP and open new avenues for the development of strategies to prevent SUDEP.

Indexed as

Disease Models, AnimalSudden Unexpected Death in EpilepsyAnimalsArtificial IntelligenceEpilepsyHumans

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.