Ontology highlight
ABSTRACT:
SUBMITTER: Fang Q
PROVIDER: S-EPMC10258490 | biostudies-literature | 2023 Jun
REPOSITORIES: biostudies-literature
Fang Qian Q Cai Guojing G Chen Guizeng G Xu Xiang X Zeng Haifeng H He Yulong Y Cai Shirong S Wu Hui H
Heliyon 20230601 6
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 t ...[more]