CLIP score as a prognostic indicator for hepatocellular carcinoma: experience with patients in the Middle East
Autor: | Iqbal Siddique, Anjum Memon, Lukman Thalib, Hisham Abu El-Naga, Basil Al-Nakib, Fuad Hasan |
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Rok vydání: | 2004 |
Předmět: |
Adult
Male medicine.medical_specialty Carcinoma Hepatocellular Disease Gastroenterology Severity of Illness Index Internal medicine medicine Humans In patient Registries Developing Countries Aged Neoplasm Staging Aged 80 and over Hepatology business.industry Proportional hazards model Medical record Advanced stage Liver Neoplasms Cancer Reproducibility of Results Middle Aged medicine.disease Prognosis Survival Analysis Surgery Kuwait Hepatocellular carcinoma Female business Liver cancer |
Zdroj: | European journal of gastroenterologyhepatology. 16(7) |
ISSN: | 0954-691X |
Popis: | To assess the prognostic ability of the Cancer of the Liver Italian Programme (CLIP) score and compare it with the Okuda system in patients with hepatocellular carcinoma from the Middle East, where the majority (70%) present with intermediate or advanced stages of the disease and do not receive any tumour-specific treatment.The medical records of 145 patients (113 males; mean age, 58.8 +/- 12.2 years) diagnosed with hepatocellular carcinoma over a 6-year period were reviewed and the disease was staged according to the CLIP and Okuda systems. The survival was compared by Kaplan-Meier curves and Cox regression analysis.The overall median survival of patients with hepatocellular carcinoma was 8.3 months (95% confidence interval, 6.6-9.4). The median survivals for CLIP score 0, 1, 2, 3 and 4-6 were 35, 29, 9, 6, and 2 months, respectively; for Okuda stages I, II and III, they were 24, 9 and 4 months, respectively. The CLIP system was judged to be statistically more efficient and consistent than the Okuda in predicting survival in the Cox proportional hazard model.These data from patients with hepatocellular carcinoma in the Middle East suggest that the CLIP score is more reliable than the Okuda system in predicting survival and can be used efficiently to determine prognosis in patients who present with intermediate or late stage of the disease. |
Databáze: | OpenAIRE |
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