Evidence map›Paper›PMID 41210322›Full record

ArticleAsia-Pacific journal of oncology nursing2025

Demoralization and dignity loss in breast cancer: A network analysis and computer simulation study.

Ying Xiong, Hongman Li, Keqing Cai, Miao Yu, Jian Zhou, Jiaying Li, M Tish Knobf, Zengjie Ye

Abstract read
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Social support, resilience, and demoralization in patients with breast cancer: a moderated network analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  3. 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

8 authors.

Ying XiongSchool of Nursing, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China.
Hongman LiSchool of Nursing, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China.
Keqing CaiThe First School of Clinical Medicine of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China.
Miao YuSchool of Nursing, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China.
Jian ZhouThe First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China.
Jiaying LiThe Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.
M Tish KnobfSchool of Nursing, Yale University, Orange, CT, United States.
Zengjie YeSchool of Nursing, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Demoralization and loss of dignity frequently co-occur among individuals with cancer. However, their symptom-level associations remain poorly characterized. This study aimed to delineate the underlying pathways linking demoralization and dignity loss in breast cancer survivors and to identify potential symptom targets for intervention. Methods: A total of 411 female breast cancer survivors were assessed using the Demoralization Scale II and the Patient Dignity Inventory. A Gaussian graphical model was used to identify central and bridge symptoms, while a Bayesian network model estimated the directional associations and potential causal pathways between demoralization and dignity-related symptoms. Computer-simulated intervention analyses were conducted to determine which symptom reduction would yield the greatest decrease in overall network activation. Results: In the Gaussian network, illness uncertainty emerged as the most central symptom (strength ​= ​1.20), and loss of life meaning as the principal bridge symptom (bridge strength ​= ​0.30). The Bayesian network identified distress as an upstream node triggering downstream cascades from demoralization to dignity loss. Simulation analyses indicated that reducing distress led to the largest decrease in global network activation (from 5.3% to 1.9%). Conclusions: This study elucidates the symptom-level mechanisms through which demoralization contributes to dignity loss in breast cancer survivors, highlighting loss of life meaning as a key bridging factor. Targeting distress may represent an effective intervention strategy to concurrently alleviate demoralization and preserve dignity.

Indexed as

Bayesian network analysisComputer-simulated interventionDemoralizationDignityInterrelationship analysis

Identifiers

PMID41210322
PMCPMC12595355

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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.