Predictive potential of Nomogram based on GMWG for patients with hepatocellular carcinoma after radical resection.

ABSTRACT:

Background

Since it's a challenging task to precisely predict the prognosis of patients with hepatocellular carcinoma (HCC). We developed a nomogram based on a novel indicator GMWG [(Geometric Mean of gamma-glutamyltranspeptidase (GGT) and white blood cell (WBC)] and explored its potential in the prognosis for HCC patients.

Methods

The patients enrolled in this study were randomly assigned to training and validation cohorts. And we performed the Least Absolute Shrinkage and Selection Operator proportional hazards model (LASSO Cox) model with clinical characteristics, serum indexes, and novel GMWG. Multivariate analysis was performed to build a nomogram. The performance of the nomogram was evaluated by C-index, the area under the receiver operating characteristic curve (AUC),

SUBMITTER: Ren L 

PROVIDER: S-EPMC8283989 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature