Fig. 1b.

Performance of score 1 and score 2 according to the ROC area for the prediction of endometriosis on the derivation population validated on the internal and external populations.

The performance of the scores to predict endometriosis was evaluated by the ROC area.

For score 1, we used 8 variables, 4 of which were related to the patient’’ pelvic pain self-evaluation. The ROC area of the derivation sample exhibited good performances and was not statistically different in the internal and the external validation populations.

For score 2, we used 5 variables, with only one related to the patient's pelvic pain self-evaluation. The ROC area decreased slightly but remained good and was validated on the internal and the external validation populations.

We used a circle to highlight the score values to select a population at very high risk (high specificity: red circle), low risk (high sensitivity: green circle), and intermediate risk, which optimizes both the sensitivity and the specificity (blue circle).