Zachary Israeli

Mr. Zachary Israeli


Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 October 2025 in Livers
Verified
Journal Article
Open access
PDF file
ESEthan Shamsian
Ethan Shamsian
MBMichael Bebawy
Michael Bebawy
ZIZachary Israeli
Zachary Israeli
MMMahinaz Mohsen
Mahinaz Mohsen
RKRohan Karkra
Rohan Karkra
Paul J. GaglioPaul J. Gaglio
Paul J. Gaglio
Metabolic-associated steatotic liver disease is currently one of the most common causes of liver disease in the world, affecting a large portion of the global population; these patients are at risk of developing advanced liver fibrosis and cirrhosis. Noninvasive tests (NITs), including lab tests such as FIB-4, NAFLD Fibrosis Score and the Aspartate Aminotransferase-to-Platelet Ratio Index, are widely used for fibrosis risk stratification, but their accuracy across various racial, ethnic, and age groups remains poorly characterized. This review examines disparities in NIT performance across these populations and the need for tailored screening strategies. A comprehensive, narrative literature review highlighted significant variability in NIT performance, with studies in African American, Hispanic and Asian patients all revealing mixed results when the performance of NITs was used to assess fibrosis levels. Additionally, the age of patients may influence fibrosis testing, as older adults tend to have higher false-positive rates due to age-based biases. Although imaging modalities like VCTE and MRE may offer superior accuracy in the noninvasive assessment of hepatic fibrosis, they face accessibility limitations and have rarely been validated in specific racial groups. This review concludes that current NITs for MASLD risk stratification needs to be recalibrated with population-specific and age-adjusted thresholds, and future research should focus on inclusive validation studies and integrating clinical judgment to improve screening accuracy.