Selecting a short-term prognostic model for hepatocellular carcinoma: comparison between the model for end-stage liver disease (MELD), MELD-sodium, and five cancer staging systems.
Abstract | BACKGROUND: METHODS: A total of 953 patients were prospectively enrolled. The predictive accuracy was compared between different models using the area under receiver operating characteristic curve (AUC). RESULTS: The CLIP system had the highest AUC (0.875) for predicting 3-month mortality, followed by the Tokyo score (0.874), JIS (0.868), BCLC (0.855), MELD-Na (0.829), MELD (0.803), and finally, TNM (0.795) system. At 6 months, the top 3 models and their AUCs were the CLIP (0.882), Tokyo (0.861), and JIS (0.85). MELD-Na consistently had significantly better predictive accuracy than the MELD at 3 and 6 months. The MELD and MELD-Na were better prognostic models in predicting the mortality for surgical patients (AUC, 0.719 to 0.740), whereas the CLIP and Tokyo systems were the 2 better models in staging nonsurgical (AUC, 0.849 to 0.884) and high-risk patients (AUC, 0.790 to 0.846), defined as having at least 2 independent risk factors of mortality, at 3 and 6 months. CONCLUSIONS: The MELD-Na may improve the prognostic ability of the MELD system for patients with HCC. Both the CLIP and Tokyo systems are better short-term prognostic models. These findings are helpful in designing future clinical trials for HCC.
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Authors | Teh-Ia Huo, Cheng-Yuan Hsia, Yi-Hsiang Huang, Han-Chieh Lin, Pui-Ching Lee, Wing-Yiu Lui, Jen-Huei Chiang, Yi-You Chiou, Che-Chuan Loong, Shou-Dong Lee |
Journal | Journal of clinical gastroenterology
(J Clin Gastroenterol)
Vol. 43
Issue 8
Pg. 773-81
(Sep 2009)
ISSN: 1539-2031 [Electronic] United States |
PMID | 19262404
(Publication Type: Comparative Study, Journal Article, Research Support, Non-U.S. Gov't)
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Topics |
- Area Under Curve
- Carcinoma, Hepatocellular
(complications, mortality, pathology)
- Humans
- Kidney Failure, Chronic
(mortality)
- Liver Cirrhosis
(complications)
- Liver Neoplasms
(complications, mortality, pathology)
- Models, Statistical
- Neoplasm Staging
(methods)
- Prognosis
- ROC Curve
- Survival Analysis
- Survival Rate
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