Evidence mapPaperPMID 41255703Full record

ArticleCancer management and research2025

The Relationship Between Nutrition Impact Symptoms, Intake Status, and Systemic Inflammation for Cancer Patients.

Hongting Xie, Mingtong Zong, Quan Sun, Feiyu Xie, Zehao Liu, Yuanhao Qiao, Peng Xue, Shijie Zhu

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Article in Cancer management and research, 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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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Hongting XieDepartment of Oncology, Wangjing Hospital of China Academy of Chinese Medicine Sciences, Beijing, People's Republic of China.
Mingtong ZongGraduate School, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Quan SunSchool of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, People's Republic of China.ORCID 0000-0002-5613-5145
Feiyu XieIntegrated Traditional Chinese and Western Medicine Department, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, Zhejiang, People's Republic of China.
Zehao LiuGraduate School, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Yuanhao QiaoGraduate School, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Peng Xue *Department of Oncology, Wangjing Hospital of China Academy of Chinese Medicine Sciences, Beijing, People's Republic of China.
Shijie Zhu *Department of Oncology, Wangjing Hospital of China Academy of Chinese Medicine Sciences, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Cancer-related malnutrition (CRM) is characterized by nutrition impact symptoms (NIS), prominently reduced intake, and irreversible systemic inflammation (SI). This study aimed to use NIS as a phenotype to explore the etiological mechanisms of CRM and facilitate a more precise classification approach for CRM patients by symptomatic clusters. Patients and Methods: 147 CRM patients were included in this study. Exploratory factor analysis (EFA) was used to identify the NIS clusters, analyze their regression factor score (RFS), and explore potential patient groups. Spearman correlation, Kruskal-Wallis tests, and regression analysis were used to analyze the correlation and interaction between RFS and nutrition, SI, and intake status. Results: EFA identified 4 factors: RFS-1 was significantly correlated with mid-arm circumference (MAC) ( Conclusion: This exploratory study identified 4 NIS clusters, 2 significantly related to SI and intake status. Based on CAM etiological mechanisms, 3 potential patient groups were explored, which established a robust phenotypic framework for subsequent large-scale investigations, addressing a critical gap in CRM research and providing a standardized phenotypic tool for future multi-center analyses. These efforts will contribute significantly to enhancing the prevention, treatment, and clinical management of CRM.

Indexed as

cancer-related malnutritionintake statusnutrition impact symptomsymptomatic clusterssystemic inflammation

Identifiers

PMID41255703
PMCPMC12621610

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