Development and Validation of a Novel Nomogram for Individualized Prediction of Survival in Cancer of Unknown Primary.

ABSTRACT:

Purpose

Prognostic uncertainty is a major challenge for cancer of unknown primary (CUP). Current models limit a meaningful patient-provider dialogue. We aimed to establish a nomogram for predicting overall survival (OS) in CUP based on robust clinicopathologic prognostic factors.

Experimental design

We evaluated 521 patients with CUP at MD Anderson Cancer Center (MDACC; Houston, TX; 2012-2016). Baseline variables were analyzed using Cox regression and nomogram developed using significant predictors. Predictive accuracy and discriminatory performance were assessed by calibration curves, concordance probability estimate (CPE ± SE), and concordance statistic (C-index). The model was subjected to bootstrapping and multi-institutional external validations using two independent CU

SUBMITTER: Raghav K 

PROVIDER: S-EPMC8197749 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature