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研究癌症患者多维症状体验的复杂性:对网络分析方法的系统审查

Vincent Richard^1,2, Allison Gilbert¹, Emanuela Pizzolla^1,3

¹Department of Computational Medicine and Neuropsychiatry, Faculty of Medicine, University of Mons, Mons, Belgium.

|July 9, 2025

概括

网络分析 (NA) 揭示了关键的癌症症状,如疲劳和心理困扰,突出了它们的相互联系和与炎症的联系. 这种方法可以通过理解复杂的症状经历来改善支持性癌症护理.

科学领域:

在瘤学瘤学.
症状科学症状科学
网络分析网络分析

背景情况:

癌症治疗改善了结果,但多维症状降低了生活质量.
传统的症状分析无法捕捉动态的症状相互作用.
网络分析 (NA) 为评估复杂的医疗情况提供了一个有前途的方法.

研究的目的:

系统地审查NA对理解癌症患者复杂症状体验的贡献.
探索NA如何阐明癌症相关症状的动态和互动性.

主要方法:

对2010年至2024年间出版的文献进行系统审查.
关键词:"网络分析"",症状"",癌症幸存者"或"癌症患者".
搜索的数据库:MEDLINE,Embase,谷歌学者,斯科普斯.搜索的数据库:MEDLINE,Embase,谷歌学者,斯科普斯.搜索的数据库:MEDLINE,Embase,谷歌学者,斯科普斯.搜索的数据库:

主要成果:

包括22项研究,重点关注各种癌症类型和症状评估 (一般和神经心理).
疲劳和心理症状 (焦虑,抑郁,焦虑) 是中心的和相互关联的.
在症状和炎症生物标志物 (例如IL-6,CRP) 之间发现的关联.

结论:

在癌症患者中,NA有效地识别了核心症状及其相互联系.
纳能增强对症状复杂性的理解,并告知有针对性的干预措施.
建议使用标准化方法进行进一步的纵向研究.

关键词:

癌症患者癌症患者癌症治疗治疗治疗癌症网络分析网络分析症状管理症状管理症状症状症状症状症状系统性审查系统性审查

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