Dataset Information

Impact of tumor burden on prognostic prediction for patients with terminal stage hepatocellular carcinoma: A nomogram study.

ABSTRACT:

Background

The recently proposed nomogram of Barcelona Clinic Liver Cancer (BCLC) lacks predictive accuracy for patients with stage D hepatocellular carcinoma (HCC). Tumor burden is crucial in prognostic prediction but is not included in the criteria of stage D HCC. This study aims to develop a nomogram with tumor burden as the core element for BCLC stage D patients.

Methods

A total of 386 patients were randomly grouped into derivation and validation sets (1:1 ratio). The multivariate Cox proportional hazards model was used to select factors with significant prognostic effect and generate the nomogram. Concordance indices and calibration plots were used to evaluate the performance of nomogram.

Results

Overall survival of study patients was significantly associated with tumor burden as well as hepatitis B, serum ?-fetoprotein level, cirrhosis and performance status in multivariate Cox regression (all p<0.05). Beta-coefficients of these variables in derivation set were used to generate the nomogram. Each patient was assigned with a total nomogram point that predicted individualized 6-month and 1-year survival. The derivation and validation sets had a c-index of 0.759 (95% confidence interval [CI]: 0.552-0.923) and 0.741 (95% CI: 0.529-0.913), respectively. The calibration plots were close to the 45-degree line for 6-month and 1-year survival prediction for all quarters of patients in both derivation and validation sets.

Conclusion

Tumor burden is significantly associated with the outcome for patients with stage D HCC. The tumor burden-incorporated nomogram may serve as a feasible and easy-to-use tool in predicting survival on an individual level.

SUBMITTER: Hsu CY

PROVIDER: S-EPMC5681267 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Publications

Impact of tumor burden on prognostic prediction for patients with terminal stage hepatocellular carcinoma: A nomogram study.

Hsu Chia-Yang CY Liu Po-Hong PH Ho Shu-Yein SY Huang Yi-Hsiang YH Lee Yun-Hsuan YH Chiou Yi-You YY Hsieh Ting-Hui TH Fang Tom T Tsai Ya-Ju YJ Hou Ming-Chih MC Huo Teh-Ia TI

PloS one 20171110 11

<h4>Background</h4>The recently proposed nomogram of Barcelona Clinic Liver Cancer (BCLC) lacks predictive accuracy for patients with stage D hepatocellular carcinoma (HCC). Tumor burden is crucial in prognostic prediction but is not included in the criteria of stage D HCC. This study aims to develop a nomogram with tumor burden as the core element for BCLC stage D patients.<h4>Methods</h4>A total of 386 patients were randomly grouped into derivation and validation sets (1:1 ratio). The multivar ...[more]

PMID: 29125877

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Dataset Information

Impact of tumor burden on prognostic prediction for patients with terminal stage hepatocellular carcinoma: A nomogram study.

Background

Methods

Results

Conclusion

Publications

Impact of tumor burden on prognostic prediction for patients with terminal stage hepatocellular carcinoma: A nomogram study.

Similar Datasets

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