Nomogram to predict pregnancy rate after ICSI-IVF cycle in patients with endometriosis.
Fiche publication
Date publication
février 2012
Journal
Human reproduction (Oxford, England)
Auteurs
Membres identifiés du Cancéropôle Est :
Pr COUTANT Charles
Tous les auteurs :
Ballester M, Oppenheimer A, d'Argent EM, Touboul C, Antoine JM, Coutant C, Daraï E
Lien Pubmed
Résumé
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. The aim of this study was to develop a nomogram based on an association of patients' characteristics to predict the clinical pregnancy rate in patients with endometriosis.
Mots clés
Adult, Age Factors, Anti-Mullerian Hormone, blood, Artificial Intelligence, Cohort Studies, Endometriosis, physiopathology, Family Characteristics, Female, France, epidemiology, Humans, Infertility, Female, blood, Infertility, Male, therapy, Longitudinal Studies, Male, Models, Biological, Nomograms, Pregnancy, Pregnancy Rate, Prospective Studies, ROC Curve, Severity of Illness Index, Sperm Injections, Intracytoplasmic, Young Adult
Référence
Hum. Reprod.. 2012 Feb;27(2):451-6