{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Su S"],"funding":["Discipline Cluster of Oncology, Wenzhou Medical University, China","Wenzhou Science and Technology Planning Project","the Natural Science Foundation of Zhejiang Province"],"pagination":["6"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11671555"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["37(1)"],"pubmed_abstract":["<h4>Background & aims</h4>Surgery combined with chemotherapy remains the mainstay of treatment for advanced epithelial ovarian cancer. It is important to evaluate the occurrence of postoperative complications before operation and to prevent them. The purpose of this study is to investigate the role of sarcopenia diagnosed by CT scans in predicting postoperative complications in patients with ovarian cancer.<h4>Methods</h4>Patients with PDS or IDS in the First Affiliated Hospital of Wenzhou Medical University from August 2017 to August 2022 were included. Sarcopenia was identified using CT scans at the T12 level. According to the Clavien-Dindo classification, postoperative complications are considered to have occurred in grades 2 and above. Logistic regression analysis was used to identify "],"journal":["Aging clinical and experimental research"],"pubmed_title":["Sarcopenia diagnosed by computed tomography predicts postoperative complications in advanced epithelial ovarian cancer."],"pmcid":["PMC11671555"],"funding_grant_id":["NO. z2-2023019","LY18C010003","Y20140695"],"pubmed_authors":["Sun M","Su S","Zhang Y","Jiang H","Bai J","Shao R"],"additional_accession":[]},"is_claimable":false,"name":"Sarcopenia diagnosed by computed tomography predicts postoperative complications in advanced epithelial ovarian cancer.","description":"<h4>Background & aims</h4>Surgery combined with chemotherapy remains the mainstay of treatment for advanced epithelial ovarian cancer. It is important to evaluate the occurrence of postoperative complications before operation and to prevent them. The purpose of this study is to investigate the role of sarcopenia diagnosed by CT scans in predicting postoperative complications in patients with ovarian cancer.<h4>Methods</h4>Patients with PDS or IDS in the First Affiliated Hospital of Wenzhou Medical University from August 2017 to August 2022 were included. Sarcopenia was identified using CT scans at the T12 level. According to the Clavien-Dindo classification, postoperative complications are considered to have occurred in grades 2 and above. Logistic regression analysis was used to identify ","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Dec","modification":"2025-04-04T02:14:22.996Z","creation":"2025-04-04T02:14:22.996Z"},"accession":"S-EPMC11671555","cross_references":{"pubmed":["39725829"],"doi":["10.1007/s40520-024-02901-9"]}}