Evidence map›Paper›PMID 41210317›Full record

ArticleAsia-Pacific journal of oncology nursing2025

Relationship between stigma, psychological resilience, and social alienation in patients with advanced lung cancer and their caregivers: An actor-partner interdependence mediation model.

Xue Lin, Xiaoyun Teng, Jie Lan, Lingling Lu, Zhiling Ren, Qiuxiang Pan

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In one paragraph

Article in Asia-Pacific journal of oncology nursing, 2025. 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

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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

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.

Xue LinMedical Oncology Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Xiaoyun TengPsychological Health Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Jie LanMedical Oncology Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Lingling LuMedical Oncology Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Zhiling RenDepartment of Cardiothoracic Surgery, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Qiuxiang PanMedical Oncology Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to investigate the impact of stigma on social alienation in advanced lung cancer (LC) patients and their caregivers, with a focus on the mediating role of psychological resilience in this relationship. Methods: From September 2023 to January 2025, 341 dyads consisting of advanced LC patients and their caregivers were recruited in Guangxi, China. Data collection included demographic and clinical characteristics, the Lung Cancer Stigma Scale, the Affiliate Stigma Scale, the Psychological Resilience Scale, and the General Social Alienation Scale. Dyadic data were analyzed using structural equation modeling within the actor-partner interdependence mediation model framework. Results: Stigma experienced by advanced LC patients demonstrated significant actor ( Conclusions: Interdependent effects among stigma, psychological resilience, and social alienation were observed in both advanced LC patients and their caregivers. Healthcare professionals should consider the dyadic nature of the patient-caregiver relationship, addressing the psychological well-being of both parties, promoting accurate disease perception, fostering confidence in managing the illness, and thereby alleviating social alienation in both groups.

Indexed as

Actor-partner interdependence mediation modelCaregiversLung cancerPsychological resilienceSocial alienationStigma

Identifiers

PMID41210317
PMCPMC12595351

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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.