Liver fibrosis is the key step for progression to cirrhosis and liver cancer in patients with chronic hepatitis B (CHB). It is crucial to identify significant liver fibrosis in the treatment of CHB patients. Hence, the investigators aim to construct and validate a new nomogram model for evaluating significant liver fibrosis in CHB patients. The nomogram was based on a retrospective study of 259 CHB patients, who underwent liver biopsy. Through random grouping, 182 cases (70%) were included in the training set and 77 cases (30%) were included in the validation set. Biopsy pathological stage was used as the gold standard to screen the factors included in the model. The receiver operating characteristic (ROC), area under the ROC curve (AUC), calibration curve, and decision curve analysis were used to evaluate the diagnostic effect of this nomogram model. In addition, the investigators will compare the diagnostic efficiency of the new nomogram model with APRI, FIB-4, and GPR.
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Differences in demographic data and clinical test indicators between significant liver fibrosis group and non-significant liver fibrosis group
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