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用于调查癌症患者化疗期间症状的网络分析:一项范围综述。

Network analysis used to investigate the symptoms of cancer patients during chemotherapy: a scoping review.

作者信息

Shao Xiaodan, Wang Na, Tang Ke, Wang Kunning, Tan Zhangyan, Xie Jiangxiu, Shen Zhiwei, Jiang Yuting, Zhang Yan

机构信息

School of Nursing, University of South China, No. 28, Changsheng West Road, Hengyang, 421001, Hunan, China.

Institute of Pathogenic Biology, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China.

出版信息

Discov Oncol. 2025 Jun 5;16(1):1011. doi: 10.1007/s12672-025-02837-0.

Abstract

OBJECTIVE

To provide an overview of the symptom experience and interrelationships among symptoms during chemotherapy in cancer patients, as well as the state of symptom network research in this field.

METHODS

This scoping review was conducted using the framework proposed by Arksey and O'Malley and the PRISMA guidelines. It included studies that focused on symptom network analysis of cancer patients currently undergoing chemotherapy treatment. A comprehensive search was conducted in both English and Chinese databases, including PubMed/MEDLINE, Cochrane, EMBASE, CINAHL (EBSCO), Web of Science, ProQuest, CNKI, VIPC, and CSPD, up to September 10, 2024.Studies were included if they involved cancer patients aged ≥ 18 years undergoing chemotherapy and excluded those involving radiotherapy. Data were extracted based on study characteristics, cancer types, sample characteristics, treatment, study design, instruments, R packages used, core symptoms, and main findings.

RESULTS

From 8948 initial articles, 12 studies were included. These studies varied in sample size, symptom survey instruments, and methods of symptom categorization. Six studies extracted symptom clusters, and core symptoms were identified in eight studies. Fatigue was commonly reported as a core symptom across different cancer types. The longitudinal study indicated that overall symptoms peaked after the initial chemotherapy session and gradually decreased with subsequent cycles, although some symptoms like skin changes and neuropathy worsened over time.

CONCLUSIONS

Symptom network analysis offers insights into the complex interplay of symptoms during chemotherapy, highlighting fatigue as a central symptom. Future research should focus on longitudinal studies to better understand the dynamic changes in symptom networks and their implications for symptom management interventions.

摘要

目的

概述癌症患者化疗期间的症状体验、症状之间的相互关系,以及该领域症状网络研究的现状。

方法

本范围综述采用了阿克西和奥马利提出的框架以及PRISMA指南进行。纳入的研究聚焦于目前正在接受化疗的癌症患者的症状网络分析。截至2024年9月10日,在英文和中文数据库中进行了全面检索,包括PubMed/MEDLINE、Cochrane、EMBASE、CINAHL(EBSCO)、Web of Science、ProQuest、中国知网、维普资讯和万方数据。纳入的研究需涉及年龄≥18岁正在接受化疗的癌症患者,排除涉及放疗的研究。根据研究特征、癌症类型、样本特征、治疗方法、研究设计、工具、使用的R包、核心症状和主要发现提取数据。

结果

从8948篇初始文章中,纳入了12项研究。这些研究在样本量、症状调查工具和症状分类方法上各不相同。6项研究提取了症状簇,8项研究确定了核心症状。疲劳在不同癌症类型中通常被报告为核心症状。纵向研究表明,尽管皮肤变化和神经病变等一些症状会随着时间推移而加重,但总体症状在首次化疗后达到峰值,并随着后续周期逐渐减轻。

结论

症状网络分析为化疗期间症状的复杂相互作用提供了见解,突出了疲劳作为核心症状的地位。未来的研究应侧重于纵向研究,以更好地理解症状网络的动态变化及其对症状管理干预措施的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a308/12141189/5811887a6752/12672_2025_2837_Fig1_HTML.jpg

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