Evidence map›Paper›PMID 42129439›Full record

ArticleScientific reports2026

Health behaviors and symptom clusters mediate self-management efficacy and quality of life in lung cancer immunotherapy.

Chengyun Wang, Jingran Li, Dandan Xu, Wei Zhang, Guanhua Jia, Jing Liu, Lina Wang

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In one paragraph

Article in Scientific reports, 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

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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

7 authors.

Chengyun WangDepartment of Oncology, The First Affiliated Hospital of Henan Medical University, Xinxiang, China.
Jingran LiDepartment of Oncology, The First Affiliated Hospital of Henan Medical University, Xinxiang, China.
Dandan XuDepartment of Emergency, The First Affiliated Hospital of Henan Medical University, Xinxiang, China.
Wei ZhangDepartment of Rehabilitation, The First Affiliated Hospital of Henan Medical University, Xinxiang, China.
Guanhua JiaDepartment of Nursing, The First Affiliated Hospital of Henan Medical University, Xinxiang, China.
Jing LiuDepartment of Oncology, The First Affiliated Hospital of Henan Medical University, Xinxiang, China.
Lina WangSchool of Nursing, Henan Medical University, Xinxiang, China. 1296714956@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To explore the association between self-management efficacy and quality of life in patients undergoing immunotherapy for lung cancer, and examine the mediating role of health promotion and symptom clusters in these two variables. This survey was conducted with 348 lung cancer survivors. Participants completed the Self-Management Efficacy Scale for Cancer Patients, the Health -Promoting Lifestyle Scale Ⅱ, the Functional Assessment of Cancer Therapy, the Chinese Version of Memorial Symptom Assessment Scale. The hypothesized model was tested using structural equation modeling. Both health promotion (β = 0.312, p < 0.001) and symptom clusters (β = 0.080, p < 0.001) partially mediated the association between self-management efficacy and quality of life. Additionally, health promotion and symptom clusters had a chain-mediating effect (β = 0.087, p < 0.001) on quality of life. Results suggest that patients with higher self-management efficacy demonstrate greater engagement in proactive health-promoting behaviors. These behaviors, in turn, appear to mitigate the negative impact of treatment-related symptom clusters, ultimately leading to improve quality of life.

Indexed as

Health BehaviorImmunotherapyLung NeoplasmsQuality of LifeSelf-ManagementAgedFemaleHumansMaleMiddle AgedSurveys and QuestionnairesHealth-promoting behaviorsImmunotherapyLung cancerQuality of lifeSelf-management efficacySymptom clusters

Identifiers

PMID42129439
PMCPMC13365435

What OpenQuestion holds

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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.