Copyright: ©Author(s) 2026.
World J Cardiol. Jun 26, 2026; 18(6): 120747
Published online Jun 26, 2026. doi: 10.4330/wjc.120747
Published online Jun 26, 2026. doi: 10.4330/wjc.120747
Table 4 Risk-of-bias assessment using QUADAS-2 domains
| Ref. | Patient selection (risk of bias/applicability) | Index test (including feature selection and overfitting risk) | Reference standard | Flow and timing (including external validation) | Overall ML-specific concerns |
| Kayvanpour et al[8], 2021 | Low/Low | Low (10-fold CV was reported, but feature-selection timing was not fully clear) | Low (diagnosis strictly adjudicated by a board of 3 expert cardiologists using ESC guidelines) | Low (internal CV only; no external) | Moderate overfitting risk due to no external validation |
| Ren et al[13], 2024 | Unclear/Low | Low (LASSO/SCAD used for selection; validation on matched sample) | Unclear | High (no formal validation split reported) | Limited validation; ML mainly for feature identification |
| Samadishadlou et al[14], 2023 | Low/Low | Low (7:3 split and 10-fold CV) | Unclear | Low (internal only) | Small test set; class imbalance addressed using sample weighting |
| Samadishadlou et al[15], 2024 | Low/Low | Low (LASSO and 5/10-fold CV) | Unclear | Low (internal and independent test set) | Improved validation compared to prior work |
| Reel et al[16], 2025 | Low/Low | Low (8:2 split and balanced accuracy metric) | Unclear | Low (internal only) | Use of balanced accuracy helps with potential imbalance |
| Sajid et al[17], 2024 | Low/Low | Low (8:2 and 10-fold CV and hold-out) | Unclear | Low (internal only) | Ensemble methods; good internal practices |
| Yerukala Sathipati et al[18], 2025 | Unclear/Low (small n = 15) | Low (8:2 split) | Unclear | Low (external validation performed via independent GEO dataset) | Very small sample; high risk of overfitting |
| Jusic et al[19], 2023 | Low/Low | Low (8:2 and 10-fold CV) | Unclear | Low (internal only) | Small cohort |
| Errington et al[20], 2021 | Low/Low | Low (10-fold CV and external datasets) | Unclear | Low (external validation performed) | Strongest validation approach among included studies |
- Citation: Popat A, Sathipati S, Sharma P. Machine learning integration in microRNA-based markers for cardiovascular diseases: A systematic review. World J Cardiol 2026; 18(6): 120747
- URL: https://www.wjgnet.com/1949-8462/full/v18/i6/120747.htm
- DOI: https://dx.doi.org/10.4330/wjc.120747