Evidence map›Paper›PMID 41203608›Full record

ArticleNature communications2025

Physical activity levels may impact on the risk of premature mortality in people with epilepsy.

Lingjie Fan, Shengyi Liu, Junhan Zhao, Xiyue Wang, Yanyi Nie, Farah Qaderi, Qibo Su, Zihua He, Sen Yang, Tong Yi and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

16 authors.

Lingjie Fan *College of Computer Science, Sichuan University, Chengdu, China.
Shengyi Liu *Department of Neurology, West China Hospital, Sichuan University, Chengdu, China.ORCID http://orcid.org/0000-0002-1912-9774
Junhan Zhao *Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. junhanzv@uchicago.edu.ORCID http://orcid.org/0000-0002-0316-8365
Xiyue WangCollege of Computer Science, Sichuan University, Chengdu, China.ORCID http://orcid.org/0000-0002-3597-9090
Yanyi NieCollege of Computer Science, Sichuan University, Chengdu, China.
Farah QaderiDepartment of Surgery, Massachusetts General Hospital, Boston, MA, USA.
Qibo SuCollege of Computer Science, Sichuan University, Chengdu, China.
Zihua HeDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Sen YangAnt Group, Sunnyvale, CA, USA.ORCID http://orcid.org/0000-0002-0639-4122
Tong YiDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Jiaqi WangDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Cairong ZhuDepartment of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Josemir W SanderDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, China.ORCID http://orcid.org/0000-0001-6041-9661
Dong ZhouDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, China. zhoudong66@yahoo.de.ORCID http://orcid.org/0000-0001-7101-4125
Tao LinCollege of Computer Science, Sichuan University, Chengdu, China. lintao@scu.edu.cn.ORCID http://orcid.org/0009-0008-5744-9390
Jinmei LiDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, China. lijinmei@wchscu.cn.ORCID http://orcid.org/0000-0002-7411-8269

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82071459
6 · The paper itself

Abstract

Epilepsy affects over 70 million individuals worldwide, with optimal physical activity (PA) levels remaining challenging to determine due to potential negative outcomes from both insufficient and excessive activity. To quantify the associations between objective PA and mortality in people with epilepsy, we analyzed accelerometer data from 98,561 UK Biobank participants, including 1167 with epilepsy, to quantify associations between objectively measured PA and mortality. During a median follow-up of 7.1 years, people with epilepsy had significantly higher mortality rate (Standardized mortality ratio: 2.39, 1.97-2.86). Higher sedentary behavior duration was associated with lower all-cause mortality (hazard ratio: 0.87, 0.78-0.97). Dose-response analyses identified sedentary durations of 7-13 h/day (p nonlinear=0.025) and moderate-to-vigorous PA of 0.1-0.2 h/day (p nonlinear=0.005) were associated with lower mortality. An explainable machine-learning model that combined multi-dimensional PA with demographic and health information effectively stratified individual risk (Area Under the Receiver Operating Characteristic curve: 0.87 ± 0.08) and could support personalized activity guidance through a wearable system.

Indexed as

EpilepsyExerciseMortality, PrematureAccelerometryAdultAgedFemaleFollow-Up StudiesHumansMachine LearningMaleMiddle AgedRisk FactorsSedentary BehaviorUnited Kingdom

Identifiers

PMID41203608
PMCPMC12595084

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.