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您的检索式：作者名="Alice Colucci"
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| 1 | Accuracy of a predictive model for severe hepatic fibrosis or cirrhosis in chronic hepatitis C显示文摘AIM: To assess the accuracy of a model in diagnosing severe fibrosis/cirrhosis in chronic hepatitis C virus (HCV)infection.METHODS: The model, based on the sequential combination of the Bonacini score (BS: ALT/AST ratio,platelet count and INR) and ultrasonography liver surface characteristics, was applied to 176 patients with chronic HCV infection. Assuming a pre-test probability of 35%,the model defined four levels of post-test probability of severe fibrosis/cirrhosis: <10% (low), 10-74% (not diagnostic), 75-90% (high) and >90% (almost absolute).The predicted probabilities were compared with the observed patients' distribution according to the histology (METAVIR).RESULTS: Severe fibrosis/cirrhosis was found in 67 patients (38%). The model discriminated patients in three comparable groups: 34% with a very high (>90%)or low (<10%) probability of severe fibrosis, 33% with a probability ranging from 75% to 90%, and 33% with an uncertain diagnosis (I.e., a probability ranging from 10%to 74%). The observed frequency of severe fibrosis/cirrhosis was within the predefined ranges.CONCLUSION: The model can correctly identify67% of patients with a high (>75%) or low (<10%) probability of cirrhosis, leaving only 33% of the patients still requiring liver biopsy. | Agostino Colli Alice Colucci Silvia Paggi Mirella Fraquelli Sara Massironi Marco Andreoletti Vittorio Michela Dario Conte | 2005 | World Journal of Gastroenterology2005，11，46： | 2 |
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