Diagnostic accuracy of the Fibrosis-4 index for advanced liver fibrosis in metabolic dysfunction-associated steatotic liver disease with type 2 diabetes: A systematic review and meta-analysis

医学 内科学 胃肠病学 荟萃分析 2型糖尿病 接收机工作特性 纤维化 脂肪肝 人口 肝病 糖尿病 切断 2型糖尿病 试验预测值 疾病 内分泌学 物理 环境卫生 量子力学
作者
Ji Won Han,Hee Yeon Kim,Jung Hwan Yu,Mi Na Kim,Young Eun Chon,Jihyun An,Young-Joo Jin,Miyoung Choi,Seung Up Kim,Han Ah Lee,Dae Won Jun
出处
期刊:Clinical and molecular hepatology [Korean Association for the Study of the Liver]
标识
DOI:10.3350/cmh.2024.0330
摘要

Background/Aims: The Fibrosis-4 index (FIB-4) is a non-invasive test widely used to rule out advanced liver fibrosis (AF) in patients with metabolic dysfunction-associated steatotic liver disease (MASLD).However, its diagnostic accuracy in MASLD patients with type 2 diabetes mellitus (T2DM) are controversial due to the high prevalence of AF in this population.Methods: Research focusing on the diagnostic accuracy of FIB-4 for liver fibrosis as validated by liver histology in MASLD patients with T2DM was included, and 12 studies (n=5,624) were finally included in the meta-analysis.Sensitivity, specificity, hierarchical summary receiver operating characteristic (HSROC), positive predictive values (PPVs), and negative predictive values (NPVs) at low cutoffs (1.3-1.67) and high cutoffs (2.67-3.25)for ruling in and out AF, were calculated.Results: At low cutoffs, the meta-analysis revealed a sensitivity of 0.74, specificity of 0.62, and HSROC of 0.75.At high cutoffs, the analysis showed a sensitivity of 0.33, specificity of 0.92, and HSROC of 0.85, suggesting FIB-4 as useful for identifying or excluding AF.In subgroup analyses, high mean age and F3 prevalence were associated with lower sensitivity.The calculated NPV and PPV were 0.82 and 0.49 at low cutoffs, whereas the NPV was 0.28 and the PPV was 0.70 at high cutoffs.There were insufficient estimated NPVs <0.90 at a hypothesized prevalence of AF >30% at an FIB-4 cutoff range of 1.3-1.67. Conclusions:Collectively, FIB-4 has moderate diagnostic accuracy for identifying or excluding AF in MASLD patients with T2DM, but more evidence must be accumulated due to the limited number of currently reported studies and their heterogeneity.
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