S1 File -
收藏NIAID Data Ecosystem2026-03-09 收录
下载链接：
https://figshare.com/articles/dataset/Multiplex_Serum_Protein_Analysis_Identifies_Novel_Biomarkers_of_Advanced_Fibrosis_in_Patients_with_Chronic_Liver_Disease_with_the_Potential_to_Improve_Diagnostic_Accuracy_of_Established_Biomarkers/4242320
下载链接
链接失效反馈官方服务：
资源简介：
Table A. Associations of 132 serum analytes measured in 70 patients with Chronic Liver Disease (35xF4, 35xF0) with liver fibrosis, activity, steatohepatitis, steatosis and ELF score. Differential analyte expression with histological features was analysed by t-test with Bonferroni-Holm correction, and correlation with ELF score was analysed by spearman correlation. Table B. Associations of 44 serum analytes measured in 432 patients with Chronic Liver Disease with liver fibrosis, activity, steatohepatitis, steatosis and ELF score. Differential analyte expression with histological features was analysed by t-test with Bonferroni-Holm correction, and correlation with ELF score was analysed by spearman correlation. Table C. ELISA Model for the prediction of significant fibrosis (METAVIR F2-4) Table D. Multivariate logistic regression model for the prediction of moderate-severe disease activity (METAVIR Grade 2–3) (n = 430 patients). Table E. Multivariate logistic regression model for the prediction of steatohepatitis (n = 400 patients).
(XLSX)
创建时间：
2016-11-19
