| Predictive model | Parameters | DR% |
| Parra-Cordero [52] | BMI, smoking, lowest UtA-PI, and PlGF | 47 |
| Odibo [53] | HTN, mean UtA-PI, PAPP-A, and PP-13 | 68 |
| Poon [54] | Maternal history, UtA-PI, and PAPP-A | 71.9 |
| Scazzocchio [55] | Ethnicity, BMI, parity, previous PE, age, HTN, renal disease, MAP, and mean UtA-PI | 81 |
| Poon [36] | Ethnicity, BMI, parity, previous PE, age, HTN, DM, thrombophilia, smoking, MAP, and lowest UtA-PI | 89 |
| Crovetto [56] | Maternal characteristics, MAP, UtA-PI, and sFlt-1 | 91.2 |
| Poon [57] | Maternal characteristics, lowest UtA-PI, MAP, and PlGF | 92.3 |
| Poon [38] | Maternal factors, UtA-PI, MAP, PAPP-A, and PlGF | 93.1* |
| Poon [58] | Ethnicity, BMI, parity, previous PE, age, HTN, DM, thrombophilia, smoking, MAP, lowest UtA-PI, and PAPP-A | 95 |
| Akolekar [59] | Maternal factors, MAP, UtA-PI, PAPP-A, PlGF, PP13, sEng, inhibin-A, activin-A, PTX3, and P-selectin | 95.2 |
| Akolekar [60] | UtA-PI, MAP, PAPP-A, and PlGF | 96.3 |
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