{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Wagle NS"],"funding":["NIMHD NIH HHS","NCI NIH HHS","NIH"],"pagination":["1281-1292.e10"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9898458"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["21(5)"],"pubmed_abstract":["<h4>Background & aims</h4>Failures have been reported across the cancer care continuum in patients with hepatocellular carcinoma (HCC); however, the impact of treatment delays on outcomes has not been well-characterized. We described the prevalence of treatment delays in a racially and ethnically diverse cohort of patients and its association with overall survival.<h4>Methods</h4>Using the Surveillance, Epidemiology, and End Results-Medicare database, we identified patients diagnosed with HCC between 2001 and 2015. We performed multivariable logistic regression analysis to identify factors associated with treatment delay (ie, receipt of HCC-directed therapy >3 months after diagnosis). Cox proportional hazards regression analysis with a 5-month landmark was used to characterize the associat"],"journal":["Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association"],"pubmed_title":["Racial, Ethnic, and Socioeconomic Disparities in Treatment Delay Among Patients With Hepatocellular Carcinoma in the United States."],"pmcid":["PMC9898458"],"funding_grant_id":["R01 CA256977","R01 MD012565"],"pubmed_authors":["Washburn D","Ohsfeldt RL","Rich NE","Kum HC","Singal AG","Wagle NS","Park S"],"additional_accession":[]},"is_claimable":false,"name":"Racial, Ethnic, and Socioeconomic Disparities in Treatment Delay Among Patients With Hepatocellular Carcinoma in the United States.","description":"<h4>Background & aims</h4>Failures have been reported across the cancer care continuum in patients with hepatocellular carcinoma (HCC); however, the impact of treatment delays on outcomes has not been well-characterized. We described the prevalence of treatment delays in a racially and ethnically diverse cohort of patients and its association with overall survival.<h4>Methods</h4>Using the Surveillance, Epidemiology, and End Results-Medicare database, we identified patients diagnosed with HCC between 2001 and 2015. We performed multivariable logistic regression analysis to identify factors associated with treatment delay (ie, receipt of HCC-directed therapy >3 months after diagnosis). Cox proportional hazards regression analysis with a 5-month landmark was used to characterize the associat","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 May","modification":"2025-04-18T15:30:14.904Z","creation":"2025-04-07T02:12:29.326Z"},"accession":"S-EPMC9898458","cross_references":{"pubmed":["35933076"],"doi":["10.1016/j.cgh.2022.07.031"]}}