中国全科医学 ›› 2026, Vol. 29 ›› Issue (05): 668-675.DOI: 10.12114/j.issn.1007-9572.2024.0584

• 综述与专论 • 上一篇    下一篇

胃肠道癌症患者症状群影响因素的范围综述

史佳琦1, 王玉欣1, 罗佳妮1, 姜琪1, 吴善玉1,*(), 金头峰2   

  1. 1.133000 吉林省延吉市,延边大学护理学院
    2.133000 吉林省延吉市,延边大学附属医院胃肠外科
  • 收稿日期:2024-10-18 修回日期:2024-12-11 出版日期:2026-02-15 发布日期:2026-01-05
  • 通讯作者: 吴善玉

  • 作者贡献:

    史佳琦负责文章的构思与设计、研究资料的收集与整理、论文撰写;王玉欣、罗佳妮、姜琪负责文献检索和筛选,提取纳入文献的信息、表格的编辑和整理;吴善玉、金头峰负责论文修订、文章的质量控制及审校、对文章整体负责,监督管理。

  • 基金资助:
    吉林省自然科学基金资助项目(YDZJ202201ZYTS227); 长春瑞诺康科技有限公司和延边伊诺登医疗科技有限公司技术开发项目(横20230053)

Factors Influencing Symptom Clusters in Patients with Gastrointestinal Cancers: a Scoping Review

SHI Jiaqi1, WANG Yuxin1, LUO Jiani1, JIANG Qi1, WU Shanyu1,*(), JIN Toufeng2   

  1. 1. School of Nursing, Yanbian University, Yanji 133000, China
    2. Department of General Surgery, the Affiliated Hospital of Yanbian University, Yanji 133000, China
  • Received:2024-10-18 Revised:2024-12-11 Published:2026-02-15 Online:2026-01-05
  • Contact: WU Shanyu

摘要: 背景 胃肠道癌症患者症状群受生理、心理等因素影响,现有研究多集中于肺癌、乳腺癌等高发癌症,针对胃肠道癌症领域症状群的研究不足,缺乏动态评估和机制探讨。 目的 通过对胃肠道癌症患者的症状群进行广泛的综述分析,以期为不同类型胃肠道癌症患者的精准化管理提供参考依据。 方法 系统检索Embase、PubMed、Web of Science、Cochrane Library、中国知网、万方数据知识服务平台、维普网和中国生物医学文献服务系统共8个数据库,检索时限为建库—2024年7月。根据纳入、排除标准提取关于胃肠道癌症患者症状群相关的文献,并对纳入文献的基本特征、胃肠道癌症患者症状群评估工具以及种类特点和影响因素进行分析。 结果 共检索到4 163篇文献,最终纳入14篇。通过文献分析,提取出4个常见的症状群,包括胃肠道症状群、心理相关症状群、疲劳症状群和神经相关症状群。对症状群评估使用的工具较为多样,其中多症状评估工具被广泛应用。影响因素主要包括社会人口学特征、疾病相关因素、生物学指标以及个体心理因素。 结论 未来可聚焦于开发针对胃肠道癌症患者的特异性症状评估工具,并结合网络分析法、多模态预测建模等先进的分析技术,进一步探索如何构建个性化的症状群管理方案,以提高症状群识别的准确性,实现精准化的症状管理。

关键词: 胃肠道癌症, 症状群, 护理, 影响因素, 范围综述

Abstract:

Background

The symptom clusters in gastrointestinal cancer patients are influenced by physiological factorsand psychological factors. Current research predominantly focus on lung cancer, breast cancer and other high-incidence cancers, and with insufficient dynamic assessment and mechanistic exploration.

Objective

A comprehensive review and analysis of symptom clusters in gastrointestinal cancer patients is conducted, aiming to provide a reference for precision management tailored to different types of gastrointestinal cancer patients.

Methods

A comprehensive literature search was conducted across eight databases, including Embase, PubMed, Web of Science, Cochrane Library, CNKI, Wanfang Data, VIP Database and SinoMed, with the search time frame spanning from database inception to July 2024. Data regarding symptom clusters in gastrointestinal cancer patients was extracted according to inclusion and exclusion criteria, and the basic characteristics, symptom group assessment tools, category characteristics and influencing factors of the included literature were analyzed.

Results

A total of 4 163 articles were retrieved and 14 were included. Four common symptom clusters were identified, comprising gastrointestinal, psychological, fatigue, and neurologic-related symptoms. These symptom clusters were assessed using a variety of tools, predominantly multi-symptom assessment instruments. The factors influencing symptom clusters primarily encompass sociodemographic and disease-related factors, biological indicators, and individual psychological factors.

Conclusion

Future studies should explore patient-specific symptom assessment tools for gastrointestinal cancers. Using network analysis, multimodal predictive modeling, and other advanced analysis techniques, we enhanced the accuracy of identifying symptom clusters and subsequently explored the development of a precise symptom cluster management strategy.

Key words: Gastrointestinal cancer, Symptom clusters, Nursing, Influencing factors, Scoping review

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