2022
DOI: 10.4291/wjgp.v13.i3.96
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Utility of FibroScan-based scoring systems to narrow the risk group of nonalcoholic fatty liver disease with comorbidities

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Cited by 6 publications
(10 citation statements)
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“…Miura et al. identified the utility of Agile scores to capture the risk of HCC and esophagogastric varices of Japanese NAFLD patients in a cross‐sectional study 26 . These findings suggest that Agile scores could be a marker for prediction of longitudinal clinical outcome, as well as a marker for liver fibrosis.…”
Section: Discussionmentioning
confidence: 99%
“…Miura et al. identified the utility of Agile scores to capture the risk of HCC and esophagogastric varices of Japanese NAFLD patients in a cross‐sectional study 26 . These findings suggest that Agile scores could be a marker for prediction of longitudinal clinical outcome, as well as a marker for liver fibrosis.…”
Section: Discussionmentioning
confidence: 99%
“…14 Although Agile scores do not include information on body mass index or single nucleotide polymorphisms, we found that the predictive performance of Agile scores for LREs was similar to that in European patients. 9 This study also overcame two weaknesses of the previous study 12 : (1) excellent predictive performance for LREs, without adjustment for systemic factors, including age and diabetes. We also found a low PPV of Agile scores for liver fibrosis had little effect on the prediction of LREs.…”
Section: Discussionmentioning
confidence: 85%
“…We found that Agile 3+ and Agile 4 are good tools for identification of NAFLD patients with HCC and/or EGVs 12 . However, this former study was a cross‐sectional study using patients with ultrasonography‐diagnosed NAFLD.…”
Section: Introductionmentioning
confidence: 76%
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“…[123] The score was later shown to be associated with HCC risk in patients cured of HCV, but not in patients with NAFLD. [124,125] Similarly, the MRE-FIB-4 index was developed to estimate fibrosis severity in patients with NAFLD, and later was found to be associated with adverse outcomes, including HCC development. [40] Pathogen-related HCC risk biomarkers Microbiome in the digestive tract and changes in its composition, namely dysbiosis, are associated with exacerbating or protective effects on liver disease severity and HCC risk via cellular signaling such as tolllike receptor pathway, metabolites, bile acids, fatty acids, lipopolysaccharide, and other biomolecules.…”
Section: Imaging-based Hcc Risk Scores/ Biomarkersmentioning
confidence: 99%