Dataset Information

Nomogram for predicting overall survival in patients with large (>5 cm) hepatocellular carcinoma based on real-world practice.

ABSTRACT:

Background/aim

Patients with large (>5 cm) hepatocellular carcinoma (HCC) have limited treatment options, thus necessitating the identification of prognostic factors and the development of predictive tools. This study aimed to identify prognostic factors and to construct a nomogram to predict survival outcomes in patients with large HCC.

Methods

A cohort of 438 patients, who were diagnosed with large HCC at a tertiary hospital between 2015 and 2018, was analyzed. Cox proportional hazards models were used to identify key prognosticators of overall survival (OS), and an independent set of prognostic factors was used to develop a nomogram. The discrimination and calibration abilities of the nomogram were assessed and internal validation was performed using cross-validation and bootstrapping methods.

Results

During a median follow-up of 9.3 months, the median OS was 9.9 months, and the 1-year OS rate was 43.9%. Multivariable Cox regression analysis revealed that performance status, modified albumin-bilirubin grade, tumor size, extent of portal vein tumor thrombosis, and initial treatment significantly affected OS. The newly developed nomogram incorporating these variables demonstrated favorable accuracy (Harrell's concordance index, 0.807).

Conclusions

The newly developed nomogram facilitated the estimation of individual survival outcomes in patients with large HCC, providing an acceptable level of accuracy.

SUBMITTER: Kim N

PROVIDER: S-EPMC10565549 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature

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Publications

Nomogram for predicting overall survival in patients with large (>5 cm) hepatocellular carcinoma based on real-world practice.

Kim Nalee N Yu Jeong Il JI Park Hee Chul HC Hong Jung Yong JY Lim Ho Yeong HY Goh Myung Ji MJ Paik Yong-Han YH

Journal of liver cancer 20230906 2

<h4>Background/aim</h4>Patients with large (>5 cm) hepatocellular carcinoma (HCC) have limited treatment options, thus necessitating the identification of prognostic factors and the development of predictive tools. This study aimed to identify prognostic factors and to construct a nomogram to predict survival outcomes in patients with large HCC.<h4>Methods</h4>A cohort of 438 patients, who were diagnosed with large HCC at a tertiary hospital between 2015 and 2018, was analyzed. Cox proportional ...[more]

PMID: 37670423

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Dataset Information

Nomogram for predicting overall survival in patients with large (>5 cm) hepatocellular carcinoma based on real-world practice.

Background/aim

Methods

Results

Conclusions

Publications

Nomogram for predicting overall survival in patients with large (>5 cm) hepatocellular carcinoma based on real-world practice.

Similar Datasets

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