Evidence map›Paper›PMID 41331460›Full record

ArticleHealth and quality of life outcomes2025

Network analysis of multidimensional symptom experience among postoperative esophageal cancer survivors.

Yanfei Wang, Yingtao Meng, Xiaotong Li, Fang Zhang, Wenya Su, Ruixue Han, Junyi Peng, Miao Zhang, Shengfen Li, Ge Wang and 1 more

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Article in Health and quality of life outcomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Yanfei Wang *School of Nursing, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Yingtao Meng *Nursing Department, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Xiaotong LiOrdos central hospital, Ordos, China.
Fang ZhangEsophageal Surgical Department, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Wenya SuSchool of Nursing, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Ruixue HanSchool of Nursing, Shandong University of Traditional Chinese Medicine, Jinan, China.
Junyi PengSchool of Nursing, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Miao ZhangSchool of Nursing, Shandong University of Traditional Chinese Medicine, Jinan, China.
Shengfen LiQingzhou Wangfu Health Center, Weifang, China.
Ge WangEsophageal Surgical Department, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Meimei ShangNursing Department, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China. smmmlove@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPostoperative symptom burden is considerable and markedly undermines the quality of life of esophageal cancer (EC) survivors. This study aimed to examine symptom clusters and the interrelationships among symptoms in postoperative EC survivors, with the goal of identifying core symptoms.

methodsA cross-sectional study was conducted using the European Cancer Life Questionnaire and the EC-Specific Supplementary Questionnaire. EC survivors were recruited in Shandong between February 2023 and February 2024. Principal component analysis (PCA) was utilized to identify symptom clusters, while Gaussian graphical network models were used to estimate the network structure.

resultsA total of 460 EC survivors were included in the study, revealing three distinct symptom clusters: the reflux-dysphagia cluster, the respiratory-related symptom cluster, and the recovery-fatigue cluster. The final network model demonstrated interconnections among these symptoms. "Fatigue" (FA) exhibited the highest strength centrality, identifying it as the most prominent core symptom in the network. "Emotional functioning" (EF), "Fatigue" (FA), and "cognitive functioning" (CF) ranked highest in terms of bridge strengths. Additionally, the model showed excellent network stability.

conclusionsEC survivors experienced significant postoperative symptom burden, with symptom network analysis revealing the complex interrelations among postoperative symptoms. This approach also identified core symptoms that play a crucial role in the network. Fatigue emerged as the most influential core symptom, highlighting the significance of targeted interventions to mitigate negative symptom interactions and improve quality of life.

Indexed as

Cancer SurvivorsEsophageal NeoplasmsPostoperative ComplicationsQuality of LifeAdultAgedCross-Sectional StudiesFatigueFemaleHumansMaleMiddle AgedSurveys and QuestionnairesEsophageal cancerMultidimensional symptomsNetwork analysisSurgery

Identifiers

PMID41331460
PMCPMC12781769

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