Development and external validation of a prognostic nomogram for patients with gastric cancer after radical gastrectomy.

ABSTRACT:

Background

Gastric cancer (GC) is one of the most malignant diseases and threatens the health of individuals across the globe. Hitherto, the identification of prognosis risk stratification on GC has mainly depended on the TNM staging, but owing to its inaccuracy and incompleteness, the prognostic value it offers remains controversial in the current clinical setting. Thus, an effective prognostic model for GC after radical gastrectomy is still needed.

Methods

Patients with pathologically confirmed GC who underwent radical gastrectomy from 2 different centers were retrospectively enrolled into a training and the validation cohort, respectively. The least absolute shrinkage and selection operator (LASSO) algorithm was applied to select variables among multiple factors, includin

SUBMITTER: Hu X 

PROVIDER: S-EPMC8743701 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature