Evidence map›Paper›PMID 41103914›Full record

ArticleClinical interventions in aging2025

Multidimensional Analysis of Frailty and Its Influencing Factors in Hospitalized Elderly Stroke Patients.

Huimin Zhou, Yan Han, Dan Xie, Kai Zheng, Haohao Zhu, Zhenhe Zhou, Yingying Ji

Abstract readMulticenter Study
In one paragraph

Article in Clinical interventions in aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
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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.

Huimin Zhou *Rehabilitation Department, The Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, People's Republic of China.
Yan Han *Rehabilitation Department, The Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, People's Republic of China.
Dan Xie *Rehabilitation Department, The Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, People's Republic of China.
Kai ZhengRehabilitation Department, The Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, People's Republic of China.
Haohao ZhuRehabilitation Department, The Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, People's Republic of China.ORCID 0000-0003-2352-4854
Zhenhe ZhouRehabilitation Department, The Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, People's Republic of China.
Yingying JiRehabilitation Department, The Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Frailty is a common geriatric syndrome, and its occurrence in elderly stroke patients may further worsen clinical outcomes, yet the influencing factors and potential causal relationship remain unclear. Objective: This study aimed to identify the influencing factors of frailty in elderly hospitalized stroke patients and to analyze the potential causal relationship between stroke and frailty. Methods: A multicenter cross-sectional survey including 210 elderly stroke patients was conducted, and bidirectional Mendelian randomization analysis was applied to examine the causal relationship between stroke and frailty. Univariate and multivariate logistic regression analyses were used to explore the impact of physiological, psychological, and clinical symptom factors on frailty. Results: The frailty index was positively correlated with stroke, and Mendelian randomization confirmed a bidirectional causal relationship. Univariate analysis showed significant associations between frailty and diabetes, lesion site, lesion location, and brain atrophy. Multivariate logistic regression further identified Fugl-Meyer score, Berg score, and MoCA score as independent risk factors for frailty in elderly hospitalized stroke patients. Conclusion: Frailty is strongly associated with stroke, and elderly stroke patients face an increased risk of frailty during hospitalization. These findings provide a basis for early identification of high-risk patients and the development of targeted intervention strategies in clinical practice, with important implications for stroke rehabilitation and elderly care.

Indexed as

Frail ElderlyFrailtyHospitalizationStrokeAgedAged, 80 and overCross-Sectional StudiesFemaleGeriatric AssessmentHumansLogistic ModelsMaleRisk Factorselderlyfrailtyinfluencing factorsMendelian randomizationstroke

Identifiers

PMID41103914
PMCPMC12526399

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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.