Figures & data
Table 1 Clinical Features of Patients
Table 2 Results of Univariate and Multivariate Analysis for Prediction of Significant Fibrosis
Table 3 Performance Assessment of Our Developed Nomogram Model and Other Variables (IV-C, CHI3L1, LSM, APRI and FIB-4) for the Prediction of Significant Fibrosis
Table 4 The Comparation of AUROCs of IV-C, CHI3L1, LSM, APRI, FIB-4, and Nomogram for the Detection of Significant Fibrosis
Figure 2 Receiver operating characteristics (ROC) curves for predicting significant fibrosis.
![Figure 2 Receiver operating characteristics (ROC) curves for predicting significant fibrosis.](/cms/asset/ae80d770-0cd9-4065-b91c-3f1665c621e7/dmso_a_12159474_f0002_c.jpg)
Figure 3 Nomogram: A nomogram was created to predict significant fibrosis in NAFLD.
![Figure 3 Nomogram: A nomogram was created to predict significant fibrosis in NAFLD.](/cms/asset/950a5652-fc10-4bf4-97e9-8ca70ec02c1c/dmso_a_12159474_f0003_c.jpg)