{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["2023"],"submitter":["Guo K"],"pubmed_abstract":["<h4>Background</h4>According to American Joint Committee on Cancer (AJCC) 8th staging system, T1 intrahepatic cholangiocarcinoma (T1 ICC) is considered a tumor with no vascular invasion. However, T1 ICC usually occurs distant metastasis (DM), and the clinical features of these patients could help clinicians identify the high-risk population.<h4>Methods</h4>We reviewed 1959 newly diagnosed patients with T1 ICC from the Surveillance, Epidemiology, and End Results (SEER) database during 2004-2018. Logistic regression models and Cox proportional hazards models were conducted to predict the risk of DM and overall survival (OS), respectively, and then, web-based nomograms were constructed. Decision curve analysis (DCA) and clinical impact curves (CIC) were used to measure the clinical utility of"],"journal":["BioMed research international"],"pagination":["6638755"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9873431"],"repository":["biostudies-literature"],"pubmed_title":["Predictors of Distant Metastasis and Prognosis in Newly Diagnosed T1 Intrahepatic Cholangiocarcinoma."],"pmcid":["PMC9873431"],"pubmed_authors":["Guo K","Lou Y","Zheng S"],"additional_accession":[]},"is_claimable":false,"name":"Predictors of Distant Metastasis and Prognosis in Newly Diagnosed T1 Intrahepatic Cholangiocarcinoma.","description":"<h4>Background</h4>According to American Joint Committee on Cancer (AJCC) 8th staging system, T1 intrahepatic cholangiocarcinoma (T1 ICC) is considered a tumor with no vascular invasion. However, T1 ICC usually occurs distant metastasis (DM), and the clinical features of these patients could help clinicians identify the high-risk population.<h4>Methods</h4>We reviewed 1959 newly diagnosed patients with T1 ICC from the Surveillance, Epidemiology, and End Results (SEER) database during 2004-2018. Logistic regression models and Cox proportional hazards models were conducted to predict the risk of DM and overall survival (OS), respectively, and then, web-based nomograms were constructed. Decision curve analysis (DCA) and clinical impact curves (CIC) were used to measure the clinical utility of","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023","modification":"2025-04-22T06:16:06.442Z","creation":"2025-04-05T21:40:12.926Z"},"accession":"S-EPMC9873431","cross_references":{"pubmed":["36704724"],"doi":["10.1155/2023/6638755"]}}