{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Zhu Z"],"funding":["National Natural Science Foundation of China"],"pagination":["663-673"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9844664"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["12(1)"],"pubmed_abstract":["<h4>Background</h4>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 METHODS: 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.<h4>Results</h4>Distress (r<su"],"journal":["Cancer medicine"],"pubmed_title":["Contemporaneous symptom networks of multidimensional symptom experiences in cancer survivors: A network analysis."],"pmcid":["PMC9844664"],"funding_grant_id":["72004034"],"pubmed_authors":["Zhu Z","Gu H","Zhu J","Xing W","Yuan X","Sun Y","Kuang Y"],"additional_accession":[]},"is_claimable":false,"name":"Contemporaneous symptom networks of multidimensional symptom experiences in cancer survivors: A network analysis.","description":"<h4>Background</h4>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 METHODS: 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.<h4>Results</h4>Distress (r<su","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Jan","modification":"2025-04-05T12:56:47.121Z","creation":"2025-04-05T12:56:47.121Z"},"accession":"S-EPMC9844664","cross_references":{"pubmed":["35651298"],"doi":["10.1002/cam4.4904"]}}