NCT06550739

Comprehensive Prognostic Model: The Study Introduces a Novel Prognostic Model That Incorporates a Wide Range of Clinical and Laboratory Variables, Providing a More Holistic Approach to Predicting Overall Survival in HCC Patients

Development and Validation of a New Prognostic System for Patients With Hepatocellular Carcinoma: A Cohort Study in China

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 1,053 (actual)
• Sponsor: Haike Lei · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: —

Summary

Background: Hepatocellular carcinoma (HCC) is a significant health problem in China, with high incidence and mortality rates. This study aimed to identify the prognostic factors of elderly HCC patients in southwest China and construct a new prognostic model for predicting overall survival (OS). Methods: This retrospective cohort study collected clinical data from 958 patients with liver cancer on January 1, 2019, and December 12, 2020. The Cox regression model was used to test the significance of all available variables as prognostic factors of OS. Independent prognostic factors were identified based on multivariable analysis to model nomograms. The concordance index (C-index), the area under the receiver operating characteristic (AUC), the Time-dependent C-index, the Time-dependent AUC, the calibration curve, and decision curve analysis (DCA) were measured to assess the model performance of the nomogram. Conclusions: The comprehensive risk prediction model for OS in HCC patients developed through this retrospective cohort study offers a promising avenue for improving clinical outcomes and patient care.

Conditions

• Hepatocellular Carcinoma

Interventions

Type	Name	Description
OTHER	Randomization	Randomly divide the data into a training set and a validation set in a 7:3 ratio

Timeline

• Start date: 2019-01-01
• Primary completion: 2020-12-31
• Completion: 2024-04-30
• First posted: 2024-08-13
• Last updated: 2024-08-13

Locations

1 site across 1 country: China