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©The Author(s) 2024.
World J Gastroenterol. Jun 7, 2024; 30(21): 2763-2776
Published online Jun 7, 2024. doi: 10.3748/wjg.v30.i21.2763
Published online Jun 7, 2024. doi: 10.3748/wjg.v30.i21.2763
Table 2 The efficacy analysis of biomarkers
Variable | Cut-off | Specificity | Sensitivity | Positive rate | AUC | P value |
AFP | 400 ng/m L | 87% | 56% | 28% | 0.72 | < 0.001 |
DCP | 26 ng/m L | 71% | 69% | 42% | 0.71 | < 0.001 |
GP73 | 222 ng/m L | 87% | 38% | 21% | 0.62 | 0.009 |
CK18-M65 | 1066 U/L | 73% | 67% | 41% | 0.72 | < 0.001 |
CK18-M30 | 530 U/L | 75% | 71% | 41% | 0.73 | < 0.001 |
- Citation: He L, Ji WS, Jin HL, Lu WJ, Zhang YY, Wang HG, Liu YY, Qiu S, Xu M, Lei ZP, Zheng Q, Yang XL, Zhang Q. Development of a nomogram for predicting liver transplantation prognosis in hepatocellular carcinoma. World J Gastroenterol 2024; 30(21): 2763-2776
- URL: https://www.wjgnet.com/1007-9327/full/v30/i21/2763.htm
- DOI: https://dx.doi.org/10.3748/wjg.v30.i21.2763