Evidence map›Paper›PMID 41272482›Full record

Observational studyBMC neurology2025

Predictors of return to work status among patients with autoimmune encephalitis at one year post-discharge: a prospective observational study.

Yejie Peng, Linxue Hu, Yuhui Wang, Yan Liang, Dezhi Chen

Abstract readObservational Study
In one paragraph

Observational study in BMC neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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5 · Who and what money

Authors and funding

5 authors.

Yejie PengDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China.
Linxue HuDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China.
Yuhui WangDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China.
Yan LiangDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China. 179050526@qq.com.
Dezhi ChenDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China. hxchendezhi2006@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAutoimmune encephalitis (AE) is a group of centrally mediated inflammatory disorders characterized by symptoms such as seizures, cognitive deficits, psychiatric symptoms, and movement disorders, often requiring prolonged hospitalization and rehabilitation. Although studies have explored the prognosis of patients with autoimmune encephalitis (AE), the return to work (RTW), a crucial indicator of quality of life, remains under-researched. This study aims to fill this gap by investigating the RTW status and its influencing factors among AE patients one year post-discharge, providing new evidence for clinical practice and facilitating optimized rehabilitation management and improved quality of life for these patients.

methodsThis prospective observational study was conducted from August 2021 to April 2024 and included 124 AE patients who were recruited from the neurology department of a tertiary hospital in Southwest China. Demographic, disease-related, and work-related questionnaires as well as a social support rating scale (SSRS)and the Modified rankin scale (mRS) were used to collect data. The RTW status and current work characteristics of the patients were assessed via telephone interviews one year after discharge. Logistic regression analysis was performed to identify the predictors of RTW status.

resultsApproximately 46.2% of AE patients returned to work within one year after discharge. Logistic regression analysis revealed that AE patients who were the primary contributors to family income, had fewer children, had high levels of social support, or had low mRS scores were more likely to return to work.

conclusionsAt one year post-discharge, the RTW rate among AE patients was significantly low, influenced by the complex cultural context of Chinese society. Early identification of low-risk RTW patients and targeted interventions to enhance work motivation and readiness are essential for supporting successful RTW in AE populations.

Indexed as

EncephalitisHashimoto DiseaseReturn to WorkAdultChinaFemaleHumansMaleMiddle AgedPatient DischargeProspective StudiesQuality of LifeYoung AdultAutoimmune encephalitisOutcomeReturn to workSocial support

Identifiers

PMID41272482
PMCPMC12754978

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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.