Accuracy of a predictive model for severe hepatic fibrosis or cirrhosis in chronic hepatitis C.

@article{Colli2005AccuracyOA,
  title={Accuracy of a predictive model for severe hepatic fibrosis or cirrhosis in chronic hepatitis C.},
  author={Agostino Colli and Alice Colucci and Silvia Paggi and Mirella Fraquelli and Sara Massironi and Marco Andreoletti and Vittorio Michela and Dario Conte},
  journal={World journal of gastroenterology},
  year={2005},
  volume={11 46},
  pages={7318-22}
}
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… CONTINUE READING

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