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Table 5 Performance of cross-validated multi-marker models for discriminating endometriosis from control groups

From: Discovery of non-invasive biomarkers for the diagnosis of endometriosis

Models AUC Sensitivity Specificity
E versus C (all phases)    
 CA125, sICAM1, CPM 0.768 0.667 0.8
 CA125, sICAM1, VEGF 0.777 0.644 0.8
 CA125, sICAM1, FST 0.77 0.644 0.8
 CA125, sICAM1 0.778 0.6 0.9
 CA125, sICAM1, IL1R2 0.758 0.6 0.9
 CA125, sICAM1, MCP1 0.757 0.6 0.9
E versus P (all phases)    
 sICAM1, FST, TNC 0.679 0.667 0.8
 sICAM1, TNC 0.708 0.622 0.8
 sICAM1, TNC, Oestradiol 0.68 0.622 0.8
 sICAM1, PAEP, TNC 0.695 0.622 0.8
 sICAM1, MIF, PAEP 0.697 0.622 0.8
 sICAM1, LUM 0.665 0.444 0.9
E versus C + P (all phases)    
 CA125, sICAM1, FST, CPM 0.706 0.578 0.8
 CA125, sICAM1, VEGF, PAEP 0.71 0.578 0.8
 CA125, sICAM1, PAEP 0.719 0.578 0.8
 CA125, sICAM1, MIF, PAEP 0.704 0.578 0.8
 CA125, MIF 0.621 0.467 0.9
E versus C + P (Proliferative)    
 sICAM1, FST, Oestradiol 0.769 0.769 0.8
 sICAM1, MIF, FST 0.781 0.692 0.8
 sICAM1, FST 0.802 0.692 0.8
 CRP, sICAM1, FST 0.802 0.692 0.8
 CA125, sICAM1, FST 0.814 0.692 0.8
 sICAM1, MIF, FST 0.781 0.615 0.9
E versus C + P (Secretory)    
 CA125, MIF, PAEP 0.705 0.654 0.8
 CA125, sICAM1, MIF 0.725 0.615 0.8
 CA125, MIF, TNC 0.683 0.615 0.8
 CA125, MIF, PAEP 0.705 0.538 0.9
 CA125, MIF, TNC 0.683 0.577 0.9
  1. Models were generated by logistic regression using up to 4 candidates with cross-validation by leave-one-out. The best performing models (by sensitivity) and area under the ROC curve (AUC) are reported for each comparison at fixed specificities of 0.90 or 0.80. E = endometriosis; C = no pain controls; P pain controls. Control groups were pooled (C + P) for some of the analyses