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. 2016 Sep 7;45(1):75–81. doi: 10.1007/s15010-016-0942-7

Fig. 2.

Fig. 2

Receiver operating characteristics (ROC) analysis showing the predictive value of non-invasive models for significant fibrosis and cirrhosis. a Area under the ROC curves (AUC) for Fibmodel, ARPI, FIB-4, and Forns’ index in the diagnosis of significant fibrosis (F ≥ 3): AUC Fibmodel = 0.82 (0.78, 0.86), APRI = 0.71 (0.66, 0.76), FIB-4 = 0.72 (0.67, 0.77), Forns’ index = 0.77 (0.72, 0.81). (Marker 1: cut off at 0.67). b Area under the ROC curves (AUC) for Fib-model, ARPI, FIB-4, Forns’ index and C5a + FIB-4 in the diagnosis of cirrhosis (F ≥ 5): AUC Fib-model = 0.79 (0.72, 0.85), APRI = 0.74 (0.67, 0.82), FIB-4 = 0.85 (0.77, 0.94), Forns’ index = 0.78 (0.71, 0.86), C5a + FIB-4 = 0.94 (0.90, 0.97).(Marker 2: cut off at −2.625)