1. Diagnostic Accuracy of Noninvasive Fibrosis Scores in a Population of Individuals With a Low Prevalence of Fibrosis 
Suzanne E. Mahady, Petra Macaskill, Jonathan C. Craig, Grace L.H. Wong, Winnie C.W. Chu, Henry L.Y. Chan, Jacob George, Vincent W.S. Wong 
Clinical Gastroenterology and Hepatology 
Volume 15, Issue 9, Pages e1 (September 2017)
DOI: /j.cgh
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2. Figure 1 Study cohort. MRI, magnetic resonance imaging.
Clinical Gastroenterology and Hepatology  , e1DOI: ( /j.cgh )
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3. Figure 2
Diagnostic algorithm describing predictive values of a positive or negative NFS in populations with a different prevalence of advanced fibrosis. Recommendations for follow-up testing are shown. Positive NFS is >0.676, negative is <  Data for primary care population taken from current study, data for type 2 diabetic population taken from Armstrong et al,15 and data for high-prevalence population taken from Angulo et al.9 NPV, negative predictive value; PPV, positive predictive value.
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4. Supplementary Figure 1
ROC curve for diagnostic accuracy of NFS in a population with a low prevalence of advanced fibrosis. ROC, receiver operating characteristic curve.
Clinical Gastroenterology and Hepatology  , e1DOI: ( /j.cgh )
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5. Supplementary Figure 2
ROC curve for diagnostic accuracy of FIB-4 score in a population with a low prevalence of advanced fibrosis. ROC, receiver operating characteristic curve.
Clinical Gastroenterology and Hepatology  , e1DOI: ( /j.cgh )
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6. Supplementary Figure 3
ROC curve for diagnostic accuracy of APRI score in a population with a low prevalence of advanced fibrosis. ROC, receiver operating characteristic curve.
Clinical Gastroenterology and Hepatology  , e1DOI: ( /j.cgh )
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