Prognostic risk factor analysis and nomogram construction for primary liver cancer in elderly patients based on SEER database.

ABSTRACT:

Objective

To evaluate the risk factors and construct a nomogram model for the prognosis of primary liver cancer in the elderly based on the data from the US SEER database.

Methods

The latest data of patients with primary liver cancer were extracted from the SEER database using SEER*STAT software, and the required variables were included. The data were screened and then divided into a training cohort and a validation cohort. A nomogram model was constructed by screening the variables through univariate and multivariate Cox analysis. The C-Index, ROC and calibration curves were used for model evaluation.

Results

A total of 10 824 eligible cases from 2004 to 2017 were extracted, among which, 7757 cases were included in the training cohort and 3247 in the validation cohor

SUBMITTER: Li F 

PROVIDER: S-EPMC9615972 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature