Evidence map›Paper›PMID 41107589›Full record

ArticleInternational urology and nephrology2026

Association rules of social alienation in maintenance hemodialysis patients: an Apriori algorithm analysis and intervention strategies.

Jia Wanning, Zhang Qinqlai, Guo Ping, Gao Qiuxia, Wan Fang, Cheng Dan, Yang Chunyan, Li Li, He Wenwen

Abstract readMulticenter Study
In one paragraph

Article in International urology and nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jia WanningChina-Japan Friendship Hospital, Beijing, 100020, China.
Zhang QinqlaiBeijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
Guo PingAviation General Hospital, Beijing, 100020, China.
Gao QiuxiaBeijing Anzhen Hospital, Capital Medical University, Beijing, 100020, China.
Wan FangEmergency General Hospital, Beijing, 100020, China.
Cheng DanCivil Aviation General Hospital, Beijing, 100020, China.
Yang ChunyanChui Yang Liu Hospital, Beijing, 100020, China.
Li LiThe First Affiliated Hospital of Qinghua University, Beijing, 100020, China.
He WenwenChina-Japan Friendship Hospital, Beijing, 100020, China. hwwsht@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSocial alienation significantly impacts maintenance hemodialysis (MHD) patients. This study aimed to identify key factors associated with social alienation in MHD patients using association rule mining to inform interventions.

methodsA cross-sectional study enrolled 250 MHD patients from 11 centers (March-April 2025). Social alienation was assessed using the General Alienation Scale (GAS). Sociodemographic, clinical, and treatment variables were analyzed using the Apriori algorithm with thresholds: support ≥ 30%, confidence ≥ 50%, lift > 1.

resultsAmong participants, 49.2% (n = 123) reported social alienation. Seven strong association rules were identified. Key combinations included: Urban employee insurance + thrice-weekly dialysis (support 58.8%, confidence 54.4%); Male + urban employee insurance + thrice-weekly dialysis (support 36.8%, confidence 54.4%); Age 36-50 + Han ethnicity (support 31.2%, confidence 56.4%). A dialysis treatment plan of 4-5 h per week for three times, middle-aged working patients, and limited support were prominent risk factors.

conclusionSocial alienation in MHD patients is multifactorial. Interventions should include flexible dialysis scheduling, multidisciplinary psychosocial support, and community networks. Policy reforms addressing insurance-related employment stress are needed. Data-driven strategies enhance chronic disease management.

Indexed as

AlgorithmsKidney Failure, ChronicRenal DialysisSocial AlienationAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedApriori algorithmAssociation rulesBlood dialysisThe social sense of alienation

Identifiers

PMID41107589
PMCPMC13121196

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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 OpenQuestion graph.