Table 2. Top prediction models for sPTB.
| Paper | Biomarker(s) | GA | Analysis | Sensitivity | Specificity | AUC |
|---|---|---|---|---|---|---|
| Alleman 2013 | maternal characteristics; | TM1 | LogR | 0.18 | 0.97 | 0.70 |
| TM1 total cholesterol; | ||||||
| dT total cholesterol; | TM2 | |||||
| TM2 AFP; INHBA | ||||||
| Aung 2019 | 5-HETE; LTD4; LTC4-ME; 13-oxoODE; 5-oxoETE; 8-HETE; LTB4 | 23.1–28.9 wks | random forest | 0.43 | 0.80 | 0.82(0.68–0.96) |
| Cantonwine 2016 | A2MG; HEMO; MBL2 | 10–12 wks | LinR | 0.80 | 0.83 | 0.89(0.83–0.95) |
| El Achi 2020 | maternal characteristics; PAPPA | 11–13 wks | LogR | na | na | 0.67 |
| Esplin 2011 | ITIH4 | 24 and 28 wks | LogR | 0.87 | 0.81 | 0.89(0.82–0.97) |
| Goldenberg 2000 | CSF3 | 24 wks | LogR | 0.54 | 0.79 | na |
| 28 wks | 0.37 | 0.95 | ||||
| Heng 2016 | LMLN2; MIR3691; EFHD2; CST13P; ACAP2; ZNF324; SH3PXD2B; TBX21; history of abortion and anemia | 17–23 wks | LogR | 0.65 | 0.88 | 0.84 |
| 27–33 wks | ||||||
| Huang 2019 | INHBA | 15–20 wks | ROC | na | na | 0.57(0.64–0.51) |
| Inan 2018 | PROK1 | 11–13 wks | ROC | 0.77 | 0.52 | 0.69(0.59–0.78) |
| Jelliffe-Pawlowski 2010 | AFP; hCG; uE3 | 15–20 wks | LogR | 0.26 | 0.80 | na |
| Jelliffe-Pawlowski 2013 | PAPPA; AFP; INHBA | 10–13 or 15–20 wks | LogR | na | na | na |
| Kansu Celik 2019 | AGE | 11–13 wks | ROC | 0.92 | 0.74 | 0.82(0.91–0.93) |
| Leung 1999 | CRH | 15–20 wks | ROC | 0.73 | 0.78 | 0.79 |
| Ma 2020 | neutrophil to lymphocyte ratio; hemoglobin; platelet distribution width | 20–30 wks | LogR | 0.89 | 0.41 | na |
| Manuck 2021 | B2M; RUNX3; TLR4 | <28 wks | ROC | 0.62 | 0.87 | 0.82(0.75–0.90) |
| McElrath 2019 | F13A1; FBLN1; SERPING1; ITIH2; LCAT | 10–12 wks | ROC | 0.70 | 0.81 | 0.74(0.63–0.81) |
| Olsen RN 2014 | uE3 | 15–22 wks | LogR | 0.05 | 0.98 | na |
| Saade 2016 | IGFBP4; SHBG | 17–28 wks | ROC | 0.75 | 0.74 | 0.75 |
| Shin 2016 | IGFBP3 | 11–18 wks | LogR | 1.00 | 0.70 | 0.79(0.66–0.89) |
| Smith 2006 | AFP, hCG | Second trimester | logR | 0.05 | 0.99 | 0.67(0.63–0.71) |
| Tarca 2021 | 50 proteins | 27–33 wks | random forest | na | na | 0.76(0.72–0.80) |
| Vogel 2006 | relaxin | 12–25 wks | LogR | 0.45 | 0.19 | 0.64(0.48–0.79) |
| Vogel 2007 | TNFa; cervical sIL-6Ra; short cervix | 12–25 wks | LinR | 0.96 | 0.95 | na |
| Winger 2020 | MIR181; MIR221; MIR33A; MIR6752; MIR1244; MIR148A; MIR1-1; MIR1267; MIR223; MIR199B; MIR133B; MIR144 | 6–12 wks | ROC | 0.89 | 0.71 | 0.80(0.69–0.88) |
| Zhu 2018 | MIF | <14 wks | LogR | 0.79 | 0.51 | 0.71(0.64–0.77) |
Top performing model from each paper which reported a prediction model for sPTB using maternal blood biomarkers, as measured by area under the receiver operating curve (AUC). GA: gestational age at sample collection. LogR: logistic regression. LinR: linear regression, ROC: receiver operator curve characteristic analysis.