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Establishing a Competing Risk Regression Nomogram Model for Survival Data

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Published on: October 23, 2020

Development and Validation of Nomograms to Predict the Overall Survival and Progression-Free Survival in Patients

Feng Xian^1,2,3, Xuewu Song⁴, Jun Bie²

¹Sichuan Cancer Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, People's Republic of China.

Cancer Management and Research

|December 23, 2024

Summary

This summary is machine-generated.

This study developed two nomograms to predict overall survival (OS) and progression-free survival (PFS) for unresectable intrahepatic cholangiocarcinoma (ICC) patients, aiding clinical decision-making.

Keywords:

intrahepatic cholangiocarcinoma nomogram overall survival prognostic model progression-free survival

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Area of Science:

Oncology
Medical Statistics
Clinical Prognostics

Background:

Unresectable intrahepatic cholangiocarcinoma (ICC) presents significant challenges in predicting patient outcomes.
Accurate prognostic tools are crucial for guiding treatment strategies and patient management.

Purpose of the Study:

To develop and validate clinical nomograms for predicting progression-free survival (PFS) and overall survival (OS) in unresectable ICC patients.
To provide clinicians with reliable tools for prognostic assessment.

Main Methods:

A cohort of 110 unresectable ICC patients was randomized into training (77) and validation (33) sets.
Univariate and multivariate Cox regression models identified prognostic factors for OS and PFS.
Kaplan-Meier analysis and Log rank tests were used for survival analysis.
Nomograms were constructed and validated using Harrell's C-index, ROC curves, calibration plots, and decision curve analysis (DCA).

Main Results:

Cox regression identified ECOG, tumor volume, HBsAg, and AFP as OS predictors, and Gender, tumor stage, CDC20 expression, and AFP as PFS predictors.
The OS nomogram achieved C-indices of 0.802 (training) and 0.813 (validation).
The PFS nomogram achieved C-indices of 0.658 (training) and 0.795 (validation).
Calibration curves and DCA confirmed the favorable performance and clinical utility of both nomograms.

Conclusions:

Two practical and effective prognostic nomograms were developed for unresectable ICC.
These nomograms can assist clinicians in evaluating OS and PFS, improving patient care.