1. Volume 70, Issue 6, Pages 920-923 (December 2016)
When to Perform Karyotype Analysis in Infertile Men? Validation of the European Association of Urology Guidelines with the Proposal of a New Predictive Model 
Eugenio Ventimiglia, Paolo Capogrosso, Luca Boeri, Filippo Pederzoli, Walter Cazzaniga, Roberta Scano, Silvia Ippolito, Nicola Fossati, Massimo Alfano, Francesco Montorsi, Andrea Salonia 
European Urology 
Volume 70, Issue 6, Pages (December 2016)
DOI: /j.eururo
Copyright © 2016 European Association of Urology Terms and Conditions

2. Fig. 1
(A) Logistic regression based nomogram predicting the probability of alterations at karyotype analysis based on luteinising hormone (LH) values, mean testis volume, and sperm concentration. Specificity, sensitivity, positive predictive value (PPV), and negative predictive value (NPV) are reported for the analysed probability thresholds. The predictive accuracy for the nomogram after 200 bootstrap resamples was 72% (p=0.02 compared with European Association of Urology guidelines). (B) Decision-curve analyses demonstrating the net benefit associated with the use of the nomogram (orange dashed line) in detecting karyotype alterations during male infertility work-up (ie, for each value of threshold probability the nomogram has a higher net benefit compared with the European Association of Urology guidelines, represented by the orange dashed line); the continuous line represents the karyotype work-up of all patients. (C) Calibration plot showing predicted probabilities against the observed karyotype abnormalities rate. The dashed line indicates the location of the ideal nomogram, in which predicted and actual probabilities are identical. The dotted line indicates the actual nomogram performance, whereas the solid line represents the performance of the bootstrap model.
Prob.=probability.
European Urology  , DOI: ( /j.eururo )
Copyright © 2016 European Association of Urology Terms and Conditions