Pregnancy rate after ICSI-IVF cycle in patients with endometriosis
Although several scoring systems have been published to evaluate the pregnancy rate after ICSI–IVF in infertile patients, none of them are applicable for patients with deep infiltrating endometriosis (DIE) nor can they evaluate the chances of pregnancy for individual patients. This model predicts the clinical pregnancy rate in patients with endometriosis.
Research authors: Ballester M, Oppenheimer A, d"Argent EM, Touboul C, Antoine JM, Coutant C, Daraï E.
Version: 1.8
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Probability of clinical pregnancy after an ICSI-IVF cycle:

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This well-calibrated model predicts clinical pregnancy rates in infertile women with endometriosis. If these performances are confirmed after external validation, the model could be a useful and original tool to inform patients and to adapt the ART strategy.

Model performance: 
The nomogram was developed in a training cohort including 94 patients (141 cycles) and tested on an internal independent validation cohort including 48 patients (83 cycles). The model showed an AUC of 0.76 (95% CI: 0.7–0.8) in the training cohort, which denotes a good performance. Calibration was good with no significant maximal and average differences between the predicted probabilities and the observed frequencies. The AUC of the ROC curve in the validation set was 0.68 (95% CI: 0.6–0.75) indicating a fair performance. The calibration was acceptable.


Source: Ballester M, Oppenheimer A, d'Argent EM, Touboul C, Antoine JM, Coutant C, Daraï E. Nomogram to predict pregnancy rate after ICSI-IVF cycle in patients with endometriosis. Hum Reprod. 2012;27(2):451-456.

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This model is provided for educational, training and information purposes. It must not be used to support medical decision making, or to provide medical or diagnostic services. Read our full disclaimer.

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