Global Bivariate Meta-Analysis of FIB-4 Cut-Offs to Rule Out Advanced Fibrosis in MASLD
Anuradha Ghosal1, Samit Ghosal2
1Department of Medical Sciences, Aston Medical School, Aston University, Birmingham, UK, aston.ac.uk.
International Journal of Hepatology
|January 16, 2026
Summary
The FIB-4 index is a valuable non-invasive tool for assessing advanced fibrosis in metabolic dysfunction-associated steatotic liver disease (MASLD). While FIB-4 below 1.3 can rule out significant fibrosis, regional differences in specificity warrant further investigation.
Area of Science:
- Hepatology
- Non-invasive diagnostics
- Liver fibrosis assessment
Background:
- Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing concern.
- Advanced fibrosis in MASLD requires accurate detection.
- The Fibrosis-4 (FIB-4) index is a widely used non-invasive marker for advanced liver fibrosis.
Purpose of the Study:
- To systematically evaluate the diagnostic performance of the FIB-4 index for advanced fibrosis in MASLD.
- To investigate potential variations in FIB-4 performance across different populations and geographical regions.
- To compare FIB-4 performance at different diagnostic thresholds.
Main Methods:
- A systematic review and bivariate meta-analysis of 14 studies involving 5521 participants.
- Analysis of 2x2 contingency data for FIB-4 thresholds <1.0 and <1.3.
- Comparison against liver biopsy or transient elastography (TE) as reference standards.
- Subgroup analyses for regional effects (India vs. global) and heterogeneity assessment.
Main Results:
- At a FIB-4 threshold <1.3, pooled sensitivity was 0.73 and specificity was 0.69.
- At a FIB-4 threshold <1.0, sensitivity decreased to 0.63, while specificity increased to 0.83.
- Indian cohorts showed higher specificity (0.83) compared to global estimates (0.66) at <1.3, with similar sensitivity.
Conclusions:
- The FIB-4 index, particularly below 1.3, serves as a practical initial tool for excluding advanced fibrosis in MASLD.
- Observed regional variations in specificity suggest potential for tailored diagnostic approaches.
- Further large-scale studies are recommended to validate cut-offs and inform sequential testing strategies.


