Development and validation of a nomogram for predicting overall survival of patients with cancer of unknown primary: a real-world data analysis.

ABSTRACT:

Background

Cancer of unknown primary (CUP) has a variable prognosis and lacks any standard staging systems. We aim to improve the prediction of survival in patients with CUP by constructing a nomogram based on a real-world, population analysis.

Methods

We performed a population analysis of patients diagnosed with CUP between 2010 and 2016 in the Surveillance, Epidemiology, and End Results (SEER) database. Patients with complete study variables were respectively assigned to training and validation cohorts by diagnostic time. A prognostic nomogram was established based on the multivariate Cox proportional hazards model and was evaluated through calculating the Harrell's C-index and plotting calibration curves.

Results

In total, 19,543 patients were identified under the

SUBMITTER: Jin Y 

PROVIDER: S-EPMC7940932 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature