Evidence map›Paper›PMID 42085665›Full record

ArticleJournal of medical Internet research2026

Illness Experiences in Young and Middle-Aged Patients With Dilated Cardiomyopathy on Chinese Social Media: Qualitative Study.

Weijing Chen, Hanyu Xiao, Chenchen Feng, Jialin Li, Jinhua Jin, Ruimin Mu

Abstract read
In one paragraph

Article in Journal of medical Internet research, 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

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

1 citing paper in PubMed.

  1. 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

6 authors.

Weijing Chen *Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun East Road, Hangzhou, 310016, China, 86 13588056891.ORCID http://orcid.org/0009-0008-8856-8536
Hanyu Xiao *Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun East Road, Hangzhou, 310016, China, 86 13588056891.ORCID http://orcid.org/0009-0001-5452-6636
Chenchen FengNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun East Road, Hangzhou, 310016, China, 86 13588056891.ORCID http://orcid.org/0009-0008-2598-4022
Jialin LiNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun East Road, Hangzhou, 310016, China, 86 13588056891.ORCID http://orcid.org/0009-0006-9023-6261
Jinhua JinNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun East Road, Hangzhou, 310016, China, 86 13588056891.ORCID http://orcid.org/0009-0005-8522-7224
Ruimin MuNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun East Road, Hangzhou, 310016, China, 86 13588056891.ORCID http://orcid.org/0009-0007-0666-3197

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dilated cardiomyopathy (DCM), characterized by ventricular dilation and systolic dysfunction, has a 10-year survival rate of 25%. The number of young and middle-aged patients with DCM is increasing, with progressive physical limitations and psychosocial distress substantially impairing quality of life. However, illness experiences in this population remain underexplored, particularly in non-Western contexts. Social media platforms such as Zhihu and Weibo offer a novel avenue for exploring patient narratives and peer support. Objective: A qualitative descriptive study was conducted to explore the multidimensional experiences of young and middle-aged Chinese patients with DCM through the social narratives shared on social media. Methods: A qualitative reflexive thematic analysis was conducted on 872 questions and responses from Zhihu, a Chinese Q&A platform. Data were extracted using a Python (Python Software Foundation) application programming interface, manually filtered, and analyzed with NVivo 14.0 (Lumivero). Thematic codes were developed iteratively, with researcher reflexivity and team discussions ensuring analytical rigor. Results: Five themes emerged: (1) bodily control loss (persistent sleep disturbances, severe respiratory compromise, and physical activity limitations), (2) enmeshed in emotional turmoil (anxiety over survival challenges, guilt over burdening family, and heterogeneous responses to death), (3) social and family role disruption (impacts on academic and career paths and family responsibility interruptions), (4) support needs in health care (urgent demand for information on diseases and treatments and desire for continuous care and guidance), and (5) life reconstruction-between disease and life (lifestyle modifications, exploring diversified treatment paths, peer support and experience sharing, and reconstructing the meaning of life). Conclusions: This study provides an interpretive account of the intertwined physical, psychological, and social experiences of young and middle-aged patients with DCM in China, emphasizing the influence of life-course stage and sociocultural context. Patients' perceptions of family responsibilities, societal role expectations, and death shape their understanding of illness and their processes of meaning reconstruction. These findings underscore the importance of incorporating life-stage and culturally sensitive perspectives in future research and highlight the potential value of tailored psychological support and digital health platforms in improving access to illness-related information and ensuring continuity of care.

Indexed as

Cardiomyopathy, DilatedSocial MediaAdultChinaFemaleHumansMaleMiddle AgedQualitative ResearchQuality of Lifedilated cardiomyopathynursingqualitative researchsocial mediayoung adults

Identifiers

PMID42085665
PMCPMC13143158

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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.