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For: Chrostek L, Przekop D, Gruszewska E, Gudowska-Sawczuk M, Cylwik B. Noninvasive Indirect Markers of Liver Fibrosis in Alcoholics. Biomed Res Int 2019;2019:3646975. [PMID: 31192254 DOI: 10.1155/2019/3646975] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
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1 Xu XL, Jiang LS, Wu CS, Pan LY, Lou ZQ, Peng CT, Dong Y, Ruan B. The role of fibrosis index FIB-4 in predicting liver fibrosis stage and clinical prognosis: A diagnostic or screening tool? J Formos Med Assoc 2021:S0929-6646(21)00344-2. [PMID: 34325952 DOI: 10.1016/j.jfma.2021.07.013] [Reference Citation Analysis]
2 Fadriquela A, Kim CS, Lee KJ, Kang SH, Lee JH. Characteristics of immune checkpoint regulators and potential role of soluble TIM-3 and LAG-3 in male patients with alcohol-associated liver disease. Alcohol 2021;98:9-17. [PMID: 34695559 DOI: 10.1016/j.alcohol.2021.10.002] [Reference Citation Analysis]
3 Joseph J. Serum Marker Panels for Predicting Liver Fibrosis - An Update. Clin Biochem Rev 2020;41:67-73. [PMID: 32518428 DOI: 10.33176/AACB-20-00002] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
4 Roh YH, Kang BK, Jun DW, Lee CM, Kim M. Role of FIB-4 for reassessment of hepatic fibrosis burden in referral center. Sci Rep 2021;11:13616. [PMID: 34193951 DOI: 10.1038/s41598-021-93038-6] [Reference Citation Analysis]
5 Li Q, Kang H, Zhang R, Guo Q. Non-invasive precise staging of liver fibrosis using deep residual network model based on plain CT images. Int J Comput Assist Radiol Surg 2022;17:627-37. [PMID: 35194737 DOI: 10.1007/s11548-022-02573-8] [Reference Citation Analysis]