Evidence map›Paper›PMID 41062576›Full record

ArticleScientific reports2025

Exploring the heterogeneity of cancer-related fatigue in advanced hepatocellular carcinoma patients via latent profiles and influencing factors.

Juan Li, Sha Lin, Zhengdi She, Wen Lu, Zhen Liang, Yan Tan

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Toward precision rehabilitation: a latent profile analysis of social support as a buffer against fatigue and reduced physical activity in breast cancer chemotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  4. The relationship between the latent profiles of cancer-related fatigue characteristics and exercise adherence in colorectal cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  5. Article
  6. Article
4 · The record

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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.

Juan LiThe Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer HospitalCentral South University, ChangSha, Hunan, China.
Sha LinThe Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer HospitalCentral South University, ChangSha, Hunan, China.
Zhengdi SheThe Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer HospitalCentral South University, ChangSha, Hunan, China.
Wen LuThe Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer HospitalCentral South University, ChangSha, Hunan, China.
Zhen LiangThe Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer HospitalCentral South University, ChangSha, Hunan, China. liangzhen@hnca.org.cn.
Yan TanThe Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer HospitalCentral South University, ChangSha, Hunan, China.

Funding

Hunan Provincial Nature Science Foundation of China 2025JJ80865
6 · The paper itself

Abstract

Cancer-related fatigue (CRF) is a multifaceted and subjective phenomenon that significantly impacts patients on physical, emotional, and mental levels. This study aims to identify specific subtypes of Cancer-related fatigue (CRF) in patients with Hepatocellular Carcinoma (HCC) and to explore the factors influencing each subtype. This cross-sectional study enrolled 220 participants from a tertiary cancer hospital. Latent Profile Analysis (LPA) and multinomial logistic regression were conducted to identify distinct fatigue profiles and to explore the influencing factors for different categories of CRF among the patients. The analysis revealed three potential categories of CRF severity: Physical balance -Low fatigue (20.1%); Physical imbalance -Moderate fatigue (69.6%); and Physical prominent -High fatigue (10.2%). It was found that the severe insomnia the greater the probability of patients belonging to the Physical prominent -High fatigue (OR = 1.299, 95%CI: 1.188-1.419). Has partner (OR = 5.171, 95%CI: 1.739-15.377), the severe financial stress (OR = 2.570, 95%CI: 1.209-5.463) and the moderate ISI (OR = 1.212, 95%CI: 1.136-1.292) were associated with the Physical imbalance - Moderate fatigue group. Protective factors for the Physical balance - Low fatigue group included higher scores in the physical activity Index (OR = 0.930, 95%CI: 0.870-0.995), Hope Index (OR = 0.647, 95%CI: 0.552-0.758), General self-efficacy (OR = 0.874, 95%CI: 0.793-0.965), Body Mass Index (OR = 0.799, 95%CI: 0.552-0.758), and Child-Pugh A classification (OR = 0.310, 95%CI: 0.119-0.808). CRF in patients with HCC demonstrates significant heterogeneity. It is conducive to the clinical identification of CRF risk characteristics and the design of personalized intervention measures.

Indexed as

Carcinoma, HepatocellularFatigueLiver NeoplasmsAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsCancer-related fatigueHepatocellular carcinomaLatent profile analysisLiver neoplasms

Identifiers

PMID41062576
PMCPMC12508021

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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.