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Dataset Information

Development and validation of nomograms for predicting prognosis in patients with solitary HCC: A TRIPOD-Compliant study.


ABSTRACT:

Objective

To develop and validate nomograms for predicting the OS and CSS of patients with Solitary Hepatocellular Carcinoma (HCC).

Methods

Using the TRIPOD guidelines, this study identified 5206 patients in the Surveillance, Epidemiology, and End Results (SEER) 17 registry database. All patients were randomly divided in a ratio of 7:3 into a training cohort (n = 3646) and a validation cohort (n = 1560), and the Chinese independent cohort (n = 307) constituted the external validation group. The prognosis-related risk factors were selected using univariate Cox regression analysis, and the independent prognostic factors of OS and CSS were identified using the Lasso-Cox regression model. The nomograms for predicting the OS and CSS of the patients were constructed based on the i

SUBMITTER: Li C 

PROVIDER: S-EPMC11002278 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature