【直播预告】↓↓↓AbstractOncology patients diagnosed with breast, gynecological, gastrointestinal, and lung cancer often experience ≥ 10 symptoms associated with the disease or treatment. Even though an individual symptom may account for a significant amount of distress, the occurrence of multiple symptoms often results in a high symptom burden, significant impairment in functioning, and poorer quality of life. There is an urgent need to identify the underlying mechanisms for symptoms in order to design effective symptom management. 被诊断患有乳腺癌、妇科癌、胃肠道癌和肺癌的肿瘤患者通常会出现与疾病或治疗相关的≥10种症状。尽管单个症状可能造成大量痛苦，但多种症状的发生通常会导致高症状负担、功能严重受损和生活质量下降。迫切需要确定症状的潜在机制，以便设计有效的症状管理。
总之，症状网络分析在解释症状的潜在机制方面是“最先进的”，这可能为肿瘤患者精确有效的症状管理提供线索。此外，高阶网络模型比成对马尔可夫随机场和贝叶斯网络等标准网络模型在解开症状的复杂和动态关系方面具有更大的优势。参考文献：Liang M, Zhu S, Zhang W, Knobf MT, Ye Z. Symptom network approach for management in cancer care. Asia Pac J Oncol Nurs. 2024 Apr 6; 11(5):100482. doi: 10.1016/j.apjon.2024.100482. PMID: 38694967; PMCID: PMC11061680.来源：NursingResearch护理研究前沿排版：肿瘤科护理公众号 指南＆PPT丨知护e课丨护士专属题库护理公众号丨视频号丨知护网APP丨护士微信群点击下方“阅读原文”，下载知护网APP
