Nomogram predicting overall survival after surgical resection for retroperitoneal leiomyosarcoma patients.

ABSTRACT:

Background

Surgery is the best way to cure the retroperitoneal leiomyosarcoma (RLMS), and there is currently no prediction model on RLMS after surgical resection. The objective of this study was to develop a nomogram to predict the overall survival (OS) of patients with RLMS after surgical resection.

Methods

Patients who underwent surgical resection from September 2010 to December 2020 were included. The nomogram was constructed based on the COX regression model, and the discrimination was assessed using the concordance index. The predicted OS and actual OS were evaluated with the assistance of calibration plots.

Results

118 patients were included. The median OS for all patients was 47.8 (95% confidence interval (CI), 35.9-59.7) months. Most tumor were completely rese

SUBMITTER: Zhuang A 

PROVIDER: S-EPMC10393052 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature