Fig. 2
From: Family history and acquired risk factors for pelvic organ prolapse: a case–control study in Japan
ROC curve analysis for predicting the risk of POP. (A) POP risk for BMI with continuous variable: The AUC is 0.644 (95% CI 0.576–0.711), and the best cut off value is 23.1 kg/m2; sensitivity and specificity are 0.713 and 0.543, respectively. (B) POP risk for parity with continuous variable: The AUC is 0.643 (95% CI 0.576–0.710), and the best cut off value is 3.0; sensitivity and specificity are 0.705 and 0.524, respectively. (C) POP risk for combined cutoff value of BMI and parity and POP family history with categorical variables: The AUC is 0.693; sensitivity and specificity are 0.535 and 0.771, respectively. ROC receiver operating characteristic, POP pelvic organ prolapse, AUC area under the curve, BMI body mass index.
