Longitudinal and time-to-event modeling for prognostic implications of radical surgery in retroperitoneal sarcoma.

ABSTRACT: Retroperitoneal sarcoma (RPS) is a rare malignancy which can be difficult to manage due to the variety of clinical behaviors. In this study, we aimed to develop a parametric modeling framework to quantify the relationship between postoperative dynamics of several biomarkers and overall/progression-free survival of RPS. One hundred seventy-four patients with RPS who received surgical resection with curative intent at the Peking University Cancer Hospital Sarcoma Center were retrospectively included. Potential prognostic factors were preliminarily identified. Longitudinal analyses of body mass index (BMI), serum total protein (TP), and white blood cells (WBCs) were performed using nonlinear mixed effects models. The impacts of time-varying and time-invariant predictors on survival were inves

SUBMITTER: Yao Y 

PROVIDER: S-EPMC9469699 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature