Predictive value of ANGPTL4 expression in ovarian GCs for PCOS
In the present study, ROC cure was used to analyze the specificity and sensitivity of ANGPTL4 expression in ovarian GCs for PCOS to explore its predictive value (Fig.3 ). For predicting PCOS, the area under curve (AUC) of ANGPTL4 expression was 0.704 (95%CI 0.633-0.774,P<0.001) with sensitivity (67.3%) and specificity (70.5%), compared with T (AUC 0.742; 95% CI 0.675– 0.808) , AMH (AUC 0.817; 95% CI 0.761–0.873) and LH/FSH (AUC 0.801; 95% CI 0.742–0.860) .Binary logistic regression was used to assess the relationships between variables above-mentioned and incidence of PCOS. The results (Table 4 and Fig.4 ) showed that after adjusting AMH, LH/FSH and T, the incidence of PCOS was correlated to ANGPTL4 expression in ovarian GCs (OR:3.345, 95%CI:1.951–5.734).