Evidence map›Paper›PMID 41488047›Full record

ArticleInternational journal of nursing studies advances2026

Living beyond survival: Experiences of self-management among long-term breast cancer survivors - A qualitative study.

Xianliang Liu, Mubei Yang, Yuhua Ma

Abstract read
In one paragraph

Article in International journal of nursing studies advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Xianliang LiuSchool of Nursing and Health Sciences, Hong Kong Metropolitan University, Homantin, Kowloon, Hong Kong, China.
Mubei YangSchool of Nursing and Health Sciences, Hong Kong Metropolitan University, Homantin, Kowloon, Hong Kong, China.
Yuhua MaDepartment of Breast Surgery, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Over the long term, breast cancer is associated with multiple symptoms and comorbidities that often cluster and intensify one another. Long-term breast cancer survivors face the challenge of transitioning from treatment-focused care to a non-treatment-oriented life. Objective: To explore long-term breast cancer survivors' experiences of managing cancer-related symptoms and provide insights to inform survivorship care. Design: A qualitative descriptive study. Methods: A purposive sampling approach was used to recruit long-term breast cancer survivors from a tertiary hospital in Guangzhou, China. Semi-structured interviews were conducted between June and July 2025, audio-recorded and transcribed verbatim. Data were analyzed using thematic analysis, with NVivo 12 software employed for data management. Results: Eighteen female breast cancer survivors participated. Three themes emerged: (1) The persistent shadow - manifestations and burden of long-term symptoms; (2) Navigating the new normal: self-management strategies and adaptations; and (3) Enablers and obstacles in the self-management journey. Conclusion: Long-term breast cancer survivors face ongoing symptom burdens and employ diverse self-management strategies, yet their understanding of self-management varies, and effective self-management should address psychological well-being alongside physical health. Tailored education and technological tools may help overcome barriers, particularly among older survivors with lower health literacy.

Indexed as

Breast cancer survivorsQualitative researchSelf-management

Identifiers

PMID41488047
PMCPMC12755991

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.