{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["13"],"submitter":["Zhang K"],"pubmed_abstract":["<h4>Background</h4>Parathyroid carcinoma (PC) is a rare malignancy without a commonly acknowledged prognostic assessment and treatment system. This study captures how independent prognostic factors and tumor size correlate with outcomes in patients with PC.<h4>Methods</h4>The Surveillance, Epidemiology, and End Results database was used to perform a retrospective analysis on PC patients from 2000 to 2018. Univariate and multivariable survival analyses were performed to evaluate cancer-specific survival (CSS) and overall survival (OS), to identify independent prognostic factors in the PC patient population. A generalized additive model was applied to conduct smooth curve fitting and to examine the association between tumor size and relative risk of death.<h4>Results</h4>A total of 590 patie"],"journal":["Frontiers in endocrinology"],"pagination":["882579"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9285012"],"repository":["biostudies-literature"],"pubmed_title":["Non-Linear Correlation Between Tumor Size and Survival Outcomes for Parathyroid Carcinoma: A SEER Population-Based Cohort Study."],"pmcid":["PMC9285012"],"pubmed_authors":["Li Z","Zhang K","Su A","Zhu J","Wei T","Zhao W","Wang X","He L","Chen YW"],"additional_accession":[]},"is_claimable":false,"name":"Non-Linear Correlation Between Tumor Size and Survival Outcomes for Parathyroid Carcinoma: A SEER Population-Based Cohort Study.","description":"<h4>Background</h4>Parathyroid carcinoma (PC) is a rare malignancy without a commonly acknowledged prognostic assessment and treatment system. This study captures how independent prognostic factors and tumor size correlate with outcomes in patients with PC.<h4>Methods</h4>The Surveillance, Epidemiology, and End Results database was used to perform a retrospective analysis on PC patients from 2000 to 2018. Univariate and multivariable survival analyses were performed to evaluate cancer-specific survival (CSS) and overall survival (OS), to identify independent prognostic factors in the PC patient population. A generalized additive model was applied to conduct smooth curve fitting and to examine the association between tumor size and relative risk of death.<h4>Results</h4>A total of 590 patie","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2025-04-04T09:41:42.928Z","creation":"2025-04-04T09:41:42.928Z"},"accession":"S-EPMC9285012","cross_references":{"pubmed":["35846299"],"doi":["10.3389/fendo.2022.882579"]}}