A competing risk-based nomogram to predict cancer-specific survival in patients with retroperitoneal leiomyosarcoma.

ABSTRACT: Considering the rarity and aggressive nature of retroperitoneal leiomyosarcoma (RLMS), several prognostic factors might contribute to the cancer-specific mortality of these patients. This study aimed to construct a competing risk-based nomogram to predict cancer-specific survival (CSS) for patients with RLMS. In total, 788 cases from the Surveillance, Epidemiology, and End Results (SEER) database (2000-2015) were included. Based on the Fine & Gray's method, independent predictors were screened to develop a nomogram for predicting 1-, 3-, and 5-year CSS. After multivariate analysis, CSS was found significantly associated with tumor characteristics (tumor grade, size, range), as well as surgery status. The nomogram showed solid prediction power and was well calibrated. Through decision curve

SUBMITTER: Fang Q 

PROVIDER: S-EPMC10258490 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature