{"title":"肺癌患者接受免疫疗法期间的症状群和症状网络分析。","authors":"Xuying Yang, Jingcui Bai, Ruili Liu, Xiaoping Wang, Gongyu Zhang, Xuehua Zhu","doi":"10.1007/s00520-024-08918-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>This study analyzes symptoms in lung cancer patients undergoing immunotherapy to identify core symptom clusters through network analysis and lay a foundation for effective symptom management programs.</p><p><strong>Methods: </strong>The sample comprised 240 lung cancer patients receiving immunotherapy. Participants were assessed using the Memorial Symptom Assessment Scale. Exploratory factor analysis was used to extract symptom clusters, and network analysis using JASP 0.17.3 was performed to explore the centrality indices and density of the symptom network.</p><p><strong>Results: </strong>Five symptom clusters were identified, i.e., emotion-related, lung cancer-related, physical, skin, and neural symptom clusters, with a cumulative variance contribution rate of 55.819%. Network analysis revealed that sadness was the most intense symptom (r<sub>s</sub> = 2.189), dizziness was the most central symptom (r<sub>c</sub> = 1.388), and fatigue was the most significant bridging symptom (r<sub>b</sub> = 2.575).</p><p><strong>Conclusion: </strong>This study identified five symptom clusters and a symptom network among lung cancer patients during immunotherapy. The network analysis's centrality indices and network density results can assist healthcare professionals in devising more precise symptom management strategies.</p>","PeriodicalId":22046,"journal":{"name":"Supportive Care in Cancer","volume":"32 11","pages":"717"},"PeriodicalIF":2.8000,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Symptom clusters and symptom network analysis during immunotherapy in lung cancer patients.\",\"authors\":\"Xuying Yang, Jingcui Bai, Ruili Liu, Xiaoping Wang, Gongyu Zhang, Xuehua Zhu\",\"doi\":\"10.1007/s00520-024-08918-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>This study analyzes symptoms in lung cancer patients undergoing immunotherapy to identify core symptom clusters through network analysis and lay a foundation for effective symptom management programs.</p><p><strong>Methods: </strong>The sample comprised 240 lung cancer patients receiving immunotherapy. Participants were assessed using the Memorial Symptom Assessment Scale. Exploratory factor analysis was used to extract symptom clusters, and network analysis using JASP 0.17.3 was performed to explore the centrality indices and density of the symptom network.</p><p><strong>Results: </strong>Five symptom clusters were identified, i.e., emotion-related, lung cancer-related, physical, skin, and neural symptom clusters, with a cumulative variance contribution rate of 55.819%. Network analysis revealed that sadness was the most intense symptom (r<sub>s</sub> = 2.189), dizziness was the most central symptom (r<sub>c</sub> = 1.388), and fatigue was the most significant bridging symptom (r<sub>b</sub> = 2.575).</p><p><strong>Conclusion: </strong>This study identified five symptom clusters and a symptom network among lung cancer patients during immunotherapy. The network analysis's centrality indices and network density results can assist healthcare professionals in devising more precise symptom management strategies.</p>\",\"PeriodicalId\":22046,\"journal\":{\"name\":\"Supportive Care in Cancer\",\"volume\":\"32 11\",\"pages\":\"717\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2024-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Supportive Care in Cancer\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s00520-024-08918-0\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Supportive Care in Cancer","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00520-024-08918-0","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Symptom clusters and symptom network analysis during immunotherapy in lung cancer patients.
Objective: This study analyzes symptoms in lung cancer patients undergoing immunotherapy to identify core symptom clusters through network analysis and lay a foundation for effective symptom management programs.
Methods: The sample comprised 240 lung cancer patients receiving immunotherapy. Participants were assessed using the Memorial Symptom Assessment Scale. Exploratory factor analysis was used to extract symptom clusters, and network analysis using JASP 0.17.3 was performed to explore the centrality indices and density of the symptom network.
Results: Five symptom clusters were identified, i.e., emotion-related, lung cancer-related, physical, skin, and neural symptom clusters, with a cumulative variance contribution rate of 55.819%. Network analysis revealed that sadness was the most intense symptom (rs = 2.189), dizziness was the most central symptom (rc = 1.388), and fatigue was the most significant bridging symptom (rb = 2.575).
Conclusion: This study identified five symptom clusters and a symptom network among lung cancer patients during immunotherapy. The network analysis's centrality indices and network density results can assist healthcare professionals in devising more precise symptom management strategies.
期刊介绍:
Supportive Care in Cancer provides members of the Multinational Association of Supportive Care in Cancer (MASCC) and all other interested individuals, groups and institutions with the most recent scientific and social information on all aspects of supportive care in cancer patients. It covers primarily medical, technical and surgical topics concerning supportive therapy and care which may supplement or substitute basic cancer treatment at all stages of the disease.
Nursing, rehabilitative, psychosocial and spiritual issues of support are also included.