©The Author(s) 2025.
World J Hepatol. Apr 27, 2025; 17(4): 103330
Published online Apr 27, 2025. doi: 10.4254/wjh.v17.i4.103330
Published online Apr 27, 2025. doi: 10.4254/wjh.v17.i4.103330
Table 3 Quality assessment of included studies using the prediction model risk of bias assessment tool
| Ref. | Year (publication) | Risk of bias | Applicability | Overall assessment | ||||||
| Participants | Predictors | Outcome | Analysis | Participants | Predictors | Outcome | Risk of bias | Applicability | ||
| Peng et al[23] | 2019 | L | H | L | H | L | L | L | H | L |
| Prodeau et al[35] | 2019 | L | L | L | H | L | L | L | H | L |
| Shen et al[51] | 2019 | L | L | L | H | L | L | L | H | L |
| Choi et al[25] | 2020 | L | L | L | H | L | L | L | H | L |
| Mai et al[27] | 2020 | L | L | L | H | L | L | L | H | L |
| Zhu et al[29] | 2020 | L | L | L | H | L | L | L | H | L |
| Lee et al[30] | 2020 | L | L | L | H | L | L | L | H | L |
| Chin et al[38] | 2020 | L | L | L | H | L | L | L | H | L |
| Ye et al[45] | 2020 | L | L | L | H | L | L | L | H | L |
| Fang et al[21] | 2021 | L | L | L | H | L | L | L | H | L |
| Shi et al[24] | 2021 | L | L | L | H | L | L | L | H | L |
| Xu et al[26] | 2021 | L | L | L | H | L | L | L | H | L |
| Cho et al[31] | 2021 | L | L | L | H | L | L | L | H | L |
| Li et al[32] | 2021 | L | L | L | H | L | L | L | H | L |
| Xiang et al[36] | 2021 | L | L | L | H | L | L | L | H | L |
| Zhong et al[37] | 2021 | L | L | L | H | L | L | L | H | L |
| Dhir et al[41] | 2021 | L | L | L | H | L | L | L | H | L |
| Chen et al[50] | 2021 | L | L | L | H | L | L | L | H | L |
| Xu et al[53] | 2021 | L | L | L | H | L | L | L | H | L |
| Wang et al[54] | 2021 | L | L | L | H | L | L | L | H | L |
| Guo et al[53] | 2021 | L | L | L | H | L | L | L | H | L |
| Yugawa et al[28] | 2022 | L | L | L | H | L | L | L | H | L |
| Zhang et al[33] | 2022 | L | L | L | H | L | L | L | H | L |
| Wang et al[34] | 2022 | L | L | L | H | L | L | L | H | L |
| Noji et al[56] | 2022 | L | L | L | H | L | L | L | H | L |
| Wang et al[40] | 2022 | L | L | L | H | L | L | L | H | L |
| Lei et al[42] | 2022 | L | L | L | H | L | L | L | H | L |
| Xu et al[43] | 2022 | L | L | L | H | L | L | L | H | L |
| Peng et al[44] | 2022 | L | L | L | H | L | L | L | H | L |
| Hobeika et al[46] | 2022 | L | L | L | H | L | L | L | H | L |
| Li et al[47] | 2022 | L | L | L | H | L | L | L | H | L |
| Meng et al[22] | 2023 | L | L | L | H | L | L | L | H | L |
| Morino et al[39] | 2023 | L | L | L | H | L | L | L | H | L |
| Ding et al[52] | 2023 | L | L | L | H | L | L | L | H | L |
- Citation: Wang X, Zhu MX, Wang JF, Liu P, Zhang LY, Zhou Y, Lin XX, Du YD, He KL. Multivariable prognostic models for post-hepatectomy liver failure: An updated systematic review. World J Hepatol 2025; 17(4): 103330
- URL: https://www.wjgnet.com/1948-5182/full/v17/i4/103330.htm
- DOI: https://dx.doi.org/10.4254/wjh.v17.i4.103330