Evidence map›Paper›PMID 41233719›Full record

ArticleBMC geriatrics2025

Potential profiling of social alienation in elderly stroke patients and study of influencing factors.

Kexin Lin, Yuchen Ma, Xinru Guo, Chunyan Hao

Abstract read
In one paragraph

Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 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

4 authors.

Kexin LinSchool of Nursing, Jinzhou Medical University, Jinzhou City, 121001, Liaoning Province, China.
Yuchen MaNursing Department of Xinghua Ling District Central Hospital, Taiyuan City, 030000, Shanxi Province, China.
Xinru GuoSchool of Nursing, Jinzhou Medical University, Jinzhou City, 121001, Liaoning Province, China.
Chunyan HaoSchool of Nursing, Jinzhou Medical University, Jinzhou City, 121001, Liaoning Province, China. 18840149884@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo explore the potential profiling of social alienation in elderly stroke patients and to analyze their influencing factors.

methodsA cross-sectional study was conducted. From June 2024 to March 2025, elderly patients with stroke who were hospitalized in the Department of Neurology and the Rehabilitation Department of the First Affiliated Hospital of Jinzhou Medical University were selected as the research subjects. A general information questionnaire, social support rating scale, psychological elasticity scale, self-perceived burden scale, and general alienation scale were used to investigate. Latent profile analysis was employed to explore potential subtypes of patients’ social alienation, and multivariate logistic regression was used to analyze the influencing factors of different categories.

resultsElderly stroke patients’ social alienation was categorized into 3 subtypes: the " Low-level social alienation " (25.4%), the “moderate social alienation” (60.1%), and the " High-level social alienation” (14.5%). Patient age, education level, monthly family income, degree of self-care, number of episodes, number of comorbid chronic diseases, social support, psychological resilience, and self-perceived burden were predictors of potential social alienation typology in elderly stroke patients (p < 0.05).

conclusionHeterogeneity exists in the social alienation of elderly stroke patients, and healthcare professionals should take targeted measures according to different categories of patients to improve their social alienation and promote their physical and mental health.

Indexed as

Social AlienationSocial SupportStrokeAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleSurveys and QuestionnairesElderlyPotential profile analysisPsychological careSocial alienationStroke

Identifiers

PMID41233719
PMCPMC12617003

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.