Novel inflammation-based prognostic nomograms for individualized prediction in hepatocellular carcinoma after radical resection.

ABSTRACT:

Background

The prognosis for patients with hepatocellular carcinoma (HCC) after liver resection ranges widely and is unsatisfactory. This study aimed to develop two novel nomograms that combined tumor characteristics and inflammation-related indexes to predict overall survival (OS) and recurrence-free survival (RFS).

Methods

In total, 3,071 patients who underwent radical resection were recruited. Independent risk factors were identified by Cox regression analysis and used to conduct prognostic nomograms. The C-index, time-dependent areas under the receiver operating characteristic curve (time-dependent AUC), decision curve analysis (DCA), and calibration curves were used to assess the performance of the nomograms.

Results

Multivariate analysis revealed that alpha-feto

SUBMITTER: Zeng J 

PROVIDER: S-EPMC7575986 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature