Contemporaneous symptom networks of multidimensional symptom experiences in cancer survivors: A network analysis.
Contemporaneous symptom networks of multidimensional symptom experiences in cancer survivors: A network analysis.
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DOI：
10.1002/cam4.4904
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发表时间：
2023-01
期刊：
影响因子：
4
通讯作者：
Xing, Weijie
中科院分区：
文献类型：
--
作者：
Zhu, Zheng;Sun, Yanling;Kuang, Yi;Yuan, Xiaoyi;Gu, Haiyan;Zhu, Jing;Xing, Weijie
症状网络可以为制定个性化和精确的症状管理策略提供经验证据。然而，很少有研究探讨癌症幸存者的多维症状体验的症状网络。本研究的目的是建立癌症幸存者多维症状体验的症状网络，并探讨这些症状网络的中心性指数和密度。使用MD安德森症状量表评估13种癌症相关症状的患病率和严重程度。在控制协变量后，我们构建了所有13种症状的同期网络。苦恼（rs = 9.18，rc = 0.06）、悲伤（rs = 9.05，rc = 0.06）和食欲不振（rs = 9.04，rc = 0.06）的强度和亲密度最高。“5年以下”网络的密度与“5-10年”和“10年以上”网络的密度有显著性差异（p < 0.001）。我们发现，虽然疲劳是癌症存活率中最严重的症状，但疲劳的中心性低于大多数其他症状。我们的研究表明，需要评估中心性指数和网络密度作为癌症护理的重要组成部分，特别是对于生存期<5年的幸存者。未来的研究有必要发展动态症状网络和纵向数据中心性指数的轨迹，以探索症状和干预标志物之间的因果关系。本研究使用来自上海癌症幸存者（SCANS）报告的1065名癌症幸存者的数据。在控制协变量后，我们构建了所有13种症状的同期网络。我们发现，虽然疲劳是癌症存活率中最严重的症状，但疲劳的中心性低于大多数其他症状。
Symptom networks can provide empirical evidence for the development of personalized and precise symptom management strategies. However, few studies have explored the symptom networks of multidimensional symptom experiences in cancer survivors. The objectives of this study were to generate symptom networks of multidimensional symptom experiences in cancer survivors and explore the centrality indices and density in these symptom networks Data from 1065 cancer survivors were obtained from the Shanghai CANcer Survivor (SCANS) Report. The MD Anderson Symptom Inventory was used to assess the prevalence and severity of 13 cancer‐related symptoms. We constructed contemporaneous networks with all 13 symptoms after controlling for covariates. Distress (r s = 9.18, r c = 0.06), sadness (r s = 9.05, r c = 0.06), and lack of appetite (r s = 9.04, r c = 0.06) had the largest values for strength and closeness. The density of the “less than 5 years” network was significantly different from that of the “5–10 years” and “over 10 years” networks (p < 0.001). We found that while fatigue was the most severe symptom in cancer survivorship, the centrality of fatigue was lower than that of the majority of other symptoms. Our study demonstrates the need for the assessment of centrality indices and network density as an essential component of cancer care, especially for survivors with <5 years of survivorship. Future studies are warranted to develop dynamic symptom networks and trajectories of centrality indices in longitudinal data to explore causality among symptoms and markers of interventions. This study use data from 1065 cancer survivors from the Shanghai CANcer Survivor (SCANS) Report. We constructed contemporaneous networks with all 13 symptoms after controlling for covariates. We found that while fatigue was the most severe symptom in cancer survivorship, the centrality of fatigue was lower than that of the majority of other symptoms.
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