Copyright
©The Author(s) 2023.
World J Hepatol. May 27, 2023; 15(5): 609-640
Published online May 27, 2023. doi: 10.4254/wjh.v15.i5.609
Published online May 27, 2023. doi: 10.4254/wjh.v15.i5.609
Ref. | Marker | Country | Categories Tested | Sample size (n) | Dx | Cutoff | AUROC (95%CI) | Sens (%) | Spec (%) | PPV (%) | NPV (%) | P value |
Boyraz et al[24], 2013 | Adipo-nectin [µg/mL] | Turkey | NAFLD vs no-NAFLD | Obese with NAFLD (n = 63), obese non-NAFLD (n = 85) | US | 3.2 | 0.948 (0.924-0.972) | 100 | 83.5 | < 0.001 | ||
Boyraz et al[24], 2013 | Adipo-nectin [µg/mL] | Turkey | Grade 3 vs Grade 1-2 steatosis | Obese with NAFLD (n = 63), obese non-NAFLD (n = 85) | US | 2.56 | 0.809 (0.751-0.867) | 84.2 | 63.6 | < 0.001 | ||
Mohamed et al[25], 2017 | Adipo-nectin [µg/mL] | Egypt | NAFLD vs no-NAFLD | NAFLD (n = 101), non-NAFLD controls (n = 57) | Biopsy | 2.4 | 0.9213 | 74.3 | 96.5 | < 0.001 | ||
Flisiak-Jackiewicz et al[19], 2018 | ALT | Poland | NAFLD vs no-NAFLD | Obese with steatosis (n = 72), obese without steatosis (n = 20) | MRS | 0.668 (0.514-0.822) | 0.0325 | |||||
Flisiak-Jackiewicz et al[19], 2018 | AST | Poland | NAFLD vs no-NAFLD | Obese with steatosis (n = 72), obese without steatosis (n = 20) | MRS | 0.683 (0.532-0.834) | 0.0173 | |||||
Mohamed et al[25], 2017 | Chemerin [ng/mL] | Egypt | NAFLD vs no-NAFLD | NAFLD (n = 101), non-NAFLD controls (n = 57) | Biopsy | 186.7 | 0.7836 | 56.4 | 87.7 | 88.9 | 52.6 | < 0.001 |
Kłusek-Oksiuta et al[46], 2014 | Chemerin [ng/mL] | Poland | NAFLD vs no-NAFLD | Steatosis (n = 33 via MRS) | MRS | 190 | 0.7 | 75 | 58 | 0.04 | ||
Hua et al[38], 2019 | FGF-21 [pg/mL] | Taiwan | Predicting high grade steatosis | Obese (n = 31), obese with liver steatosis (n = 83), controls (n = 89) | US | 106.1 | 0.781 (0.687–0.874) | 86.5 | 60 | < 0.001 | ||
Hua et al[38], 2019 | FGF-21 + GGT | Taiwan | Predicting high grade steatosis | Obese (n = 31), obese with liver steatosis (n = 83), controls (n = 89) | US | 3.318 | 0.861 (0.786–0.937) | 89.2 | 74.6 | < 0.001 | ||
Hua et al[38], 2019 | FGF-21 + GGT + TG | Taiwan | Predicting high grade steatosis | Obese (n = 31), obese with liver steatosis (n = 83), controls (n = 89) | US | 5.403 | 0.871 (0.801–0.942) | 83.8 | 82.5 | < 0.001 | ||
Hua et al[38], 2019 | FGF-21 + GGT + TG | Taiwan | Predicting high grade steatosis | Obese (n = 31), obese with liver steatosis (n = 83), controls (n = 89) | US | 6.661 | 0.873 (0.801–0.945) | 94.6 | 72.9 | < 0.001 | ||
Flisiak-Jackiewicz et al[19], 2018 | GGT | Poland | NAFLD vs. no-NAFLD | Obese with steatosis (n = 72), obese without steatosis (n = 20) | MRS | 0.677 (0.521-0.832) | 0.0257 | |||||
Hua et al[38], 2019 | GGT [U/L] | Taiwan | Predicting high grade steatosis | Obese (n = 31), obese with liver steatosis (n = 83), controls (n = 89) | US | 21.5 | 0.840 (0.765–0.915) | 82.5 | 70.5 | < 0.001 | ||
Duan et al[18], 2022 | IL-17 [pg/mL] | China | Obese with NAFLD vs obese | Obese with NAFLD (n = 176), obese non-NAFLD (n = 91) | US | 40.03 | 0.97 (0.96-0.99) | 89 | 93.8 | < 0.001 | ||
Flisiak-Jackiewicz et al[19], 2018 | IL-18 [pg/mL] | Poland | NAFLD vs no-NAFLD | Obese with steatosis (n = 72), obese without steatosis (n = 20) | MRS | 326.8 | 0.680 (0.552-0.808) | 60 | 75 | 34 | 60 | 0.0058 |
Flisiak-Jackiewicz et al[19], 2018 | IL18 + ALT + AST + GGT + TG | Poland | NAFLD vs no-NAFLD | Obese with steatosis (n = 72), obese without steatosis (n = 20) | MRS | 0.782 (0.678-0.887) | 61 | 85 | 94 | 38 | < 0.001 | |
Duan et al[18], 2022 | IL-1β [pg/mL] | China | Obese with NAFLD vs obese | Obese with NAFLD (n = 176), obese non-NAFLD (n = 91) | US | 11.74 | 0.94 (0.91-0.97) | 84.6 | 85.2 | < 0.001 | ||
Duan et al[18], 2022 | IL-6 [pg/mL] | China | Obese with NAFLD vs obese | Obese with NAFLD (n = 176), obese non-NAFLD (n = 91) | US | 8.1 | 0.94 (0.91-0.96) | 91.2 | 80.1 | < 0.001 | ||
Boyraz et al[24], 2013 | RBP4 [µg/mL] | Turkey | NAFLD vs no-NAFLD | Obese with NAFLD (n = 63), obese non-NAFLD (n = 85) | US | 26 | 0.974 (0.960-0.988) | 100 | 92.9 | < 0.001 | ||
Boyraz et al[24], 2013 | RBP4 [µg/mL] | Turkey | Grade 3 vs Grade 1-2 steatosis | Obese with NAFLD (n = 63), obese non-NAFLD (n = 85) | US | 35 | 0.782 (0.726-0.838) | 84.2 | 68.2 | < 0.001 | ||
Boyraz et al[24], 2013 | Resistin [ng/mL] | Turkey | NAFLD vs no-NAFLD | Obese with NAFLD (n = 63), obese non-NAFLD (n = 85) | US | 12 | 0.884 (0.849-0.919) | 100 | 77.7 | < 0.001 | ||
Boyraz et al[24], 2013 | Resistin [ng/mL] | Turkey | Grade 3 vs Grade 1-2 steatosis | Obese with NAFLD (n = 63), obese non-NAFLD (n = 85) | US | 5.2 | 0.661 (0.586-0.736) | 36.8 | 95.5 | < 0.05 | ||
Flisiak-Jackiewicz et al[19], 2018 | TG | Poland | NAFLD vs no-NAFLD | Obese with steatosis (n = 72), obese without steatosis (n = 20) | MRS | 0.694 (0.574-0.815) | 0.0015 | |||||
Hua et al[38], 2019 | TG [mg/dL] | Taiwan | Predicting high grade steatosis | Obese (n = 31), obese with liver steatosis (n = 83), controls (n = 89) | US | 77 | 0.732 (0.639–0.824) | 90.2 | 50 | < 0.001 | ||
Elkabany et al[47], 2020 | Visfatin [ng/mL] | Egypt | NAFLD vs no-NAFLD | Obese with NAFLD (n = 31), obese (n = 49), nonobese controls (n = 40) | US | 18 | 83.9 | 81.4 |
- Citation: Jayasekera D, Hartmann P. Noninvasive biomarkers in pediatric nonalcoholic fatty liver disease. World J Hepatol 2023; 15(5): 609-640
- URL: https://www.wjgnet.com/1948-5182/full/v15/i5/609.htm
- DOI: https://dx.doi.org/10.4254/wjh.v15.i5.609