Copyright: ©Author(s) 2026.
World J Hepatol. May 27, 2026; 18(5): 119798
Published online May 27, 2026. doi: 10.4254/wjh.v18.i5.119798
Published online May 27, 2026. doi: 10.4254/wjh.v18.i5.119798
Table 2 Detailed model performance metrics for liver fibrosis diagnostic models
| Metric | Liver stiffness-platelet ratio index | Fibrosis-4 | AST to platelet ratio index | Gamma-glutamyl transpeptidase to platelet ratio | S-Index | Hui model | Age-male-ALP-platelets risk score | AST to platelet and age-gender model |
| Training data | ||||||||
| AUROC | 0.84 | 0.65 | 0.66 | 0.70 | 0.71 | 0.75 | 0.69 | 0.71 |
| 95%CI lower | 0.80 | 0.61 | 0.62 | 0.66 | 0.67 | 0.71 | 0.65 | 0.66 |
| 95%CI upper | 0.87 | 0.69 | 0.70 | 0.74 | 0.75 | 0.78 | 0.74 | 0.75 |
| UA | 0.06 | 0.09 | 0.08 | 0.08 | 0.08 | 0.08 | 0.09 | 0.09 |
| Matthews correlation coefficient | 0.46 | 0.21 | 0.20 | 0.26 | 0.26 | 0.33 | 0.27 | 0.31 |
| Youden index (%) | 52.96 | 20.38 | 22.87 | 28.58 | 30.00 | 37.87 | 31.13 | 33.25 |
| PPV (%) | 47.55 | 40.56 | 32.08 | 40.39 | 36.54 | 40.29 | 38.04 | 44.83 |
| NPV (%) | 92.53 | 80.44 | 85.04 | 83.43 | 85.78 | 88.08 | 85.52 | 84.33 |
| Sensitivity (%) | 82.45 | 38.83 | 72.87 | 54.79 | 68.62 | 72.87 | 65.96 | 55.32 |
| Specificity (%) | 70.52 | 81.55 | 50.00 | 73.79 | 61.38 | 65.00 | 65.17 | 77.93 |
| Accuracy (%) | 73.44 | 71.09 | 55.60 | 69.14 | 63.15 | 66.93 | 65.36 | 72.40 |
| TP (%) | 20.18 | 9.51 | 17.84 | 13.41 | 16.80 | 17.84 | 16.15 | 13.54 |
| Validation data | ||||||||
| AUROC | 0.83 | 0.65 | 0.61 | 0.71 | 0.71 | 0.74 | 0.70 | 0.73 |
| 95%CI lower | 0.78 | 0.58 | 0.54 | 0.64 | 0.64 | 0.67 | 0.63 | 0.67 |
| 95%CI upper | 0.88 | 0.72 | 0.68 | 0.78 | 0.78 | 0.79 | 0.76 | 0.80 |
| UA | 0.10 | 0.14 | 0.13 | 0.13 | 0.13 | 0.12 | 0.13 | 0.13 |
| Matthews correlation coefficient | 0.43 | 0.23 | 0.08 | 0.30 | 0.26 | 0.29 | 0.26 | 0.30 |
| Youden index (%) | 49.65 | 23.45 | 9.26 | 31.74 | 30.02 | 33.75 | 30.02 | 31.72 |
| PPV (%) | 44.97 | 41.67 | 27.91 | 44.00 | 36.60 | 37.50 | 36.60 | 44.79 |
| NPV (%) | 92.22 | 81.22 | 78.98 | 83.84 | 85.80 | 87.57 | 85.80 | 83.69 |
| Sensitivity (%) | 82.72 | 43.21 | 59.26 | 54.32 | 69.14 | 74.07 | 69.14 | 53.09 |
| Specificity (%) | 66.94 | 80.24 | 50.00 | 77.42 | 60.89 | 59.68 | 60.89 | 78.63 |
| accuracy (%) | 70.82 | 71.12 | 52.28 | 71.73 | 62.92 | 63.22 | 62.92 | 72.34 |
| TP (%) | 20.36 | 10.64 | 14.59 | 13.37 | 17.02 | 18.24 | 17.02 | 13.07 |
- Citation: Lin JY, Ai ZX, Luo MJ, Su LZ, Gao XG, Jiang HL, Lin JQ, Zhang HY, Sun YY, Yu HT, Zhang L, Gong XQ. Liver stiffness-platelet ratio index and machine learning models for the noninvasive diagnosis of significant fibrosis in chronic hepatitis B. World J Hepatol 2026; 18(5): 119798
- URL: https://www.wjgnet.com/1948-5182/full/v18/i5/119798.htm
- DOI: https://dx.doi.org/10.4254/wjh.v18.i5.119798