TABLE 2.
Authors | Year | Sample size | Mean BMI (kg/m2) | Failure rate (%) | F3-F4 (%) | Cut-offs value | AUROC | Se | Sp |
---|---|---|---|---|---|---|---|---|---|
Yoneda et al | 2008 | 97 | 26.6 | 4.9 | 28 | 8.2 | 0.90 | 85 | 81 |
Nobili et al | 2008 | 50 | 25.7 | 3.8 | 20 | 7 | 0.94 | 100 | 100 |
Wong et al | 2010 | 246 | 28.5% > 30 | 10.2 | 23 | 8.7 | 0.93 | 84 | 83 |
Lupsor et al | 2010 | 65 | 28.7 | 9.7 | 7 | 7.5 | 0.98 | 100 | 96 |
Petta et al | 2011 | 146 | 29.1 | 14 | 14 | 8.75 | 0.87 | 76 | 78 |
Gaia et al | 2011 | 72 | 27.5 | 8 | 34 | 8.0 | 0.76 | 65 | 80 |
Myers et al | 2012 | 75 | 30.0 | 16(M) | 28 | 7.8 (M) | 0.87(M) | 84(M) | 79(M) |
1.1 (XL) | 6.4 (XL) | 0.90 (XL) | 81 (XL) | 66 (XL) | |||||
Wong et al | 2012 | 193 | 28.9 | 25 | 30 | 7.2 (XL) | 0.78(ITT) 0.85(PP) | 74(ITT)/78(PP) | 78(ITT)/78(PP) |
Kumar et al | 2013 | 120 | 26.1 | 14.9 | 23 | 9.0 | 0.94 | 85 | 88 |
Mahadeva et al | 2013 | 131 | 32.8% > 30 | 8 | 22 | 7.1 | 0.77 | 70 | 67 |
Aykut et al | 2014 | 88 | 30.3 | NA | 41 | 7.9 | 0.94 | 96 | 90 |
Naveau et al | 2014 | 100 | 42.3 | 19 | 9 | 7.6 | 0.85 | 100 | 74 |
Petta et al | 2015 | 324 | 39.5% > 30 | NA | 35 | 10.1 | 0.86 | 78 | 78 |
Chan et al | 2015 | 153 | 29.4 | 3.9 | 21 | 8.0 | NA | 95 | 66 |
Cassinotto et al | 2016 | 291 | 60.1% > 30 | 23.4 | 43 | 8.2/12.5 | 0.86 | 90/57 | 61/90 |
Imajo et al | 2016 | 142 | 28.1 | 10.5 | 32 | 11.4 | 0.88 | 86 | 84 |
Tapper et al | 2016 | 164 | 32.3 | 27 | 18 | 9.9 | 0.93 | 95 | 77 |
Boursier et al | 2016 | 588 | 31.7 | 9.3 | 39 | 8.7 | 0.83 | 88 | 63 |
Chen et al | 2017 | 111 | 40.3 | 22.7 | 20 | 7.6 | 0.87 | 84 | 64 |
Park et al | 2017 | 104 | 30.4 | 6.7 | 17 | 7.3 | 0.8 | 78 | 78 |
AUROC, area under ROC, curve; CC, correctly classified: true positive and true negative; NAFLD, Non-alcoholic fatty liver disease; NA, not available; Se = sensitivity; Sp = specificity; ITT; intention to treat.