Are sperm parameters able to predict the success of assisted reproductive technology? A retrospective analysis of over 22,000 assisted reproductive technology cycles

Author:

Villani Maria Teresa1,Morini Daria1,Spaggiari Giorgia2,Falbo Angela Immacolata1,Melli Beatrice3,La Sala Giovanni Battista1,Romeo Marilina24,Simoni Manuela24ORCID,Aguzzoli Lorenzo1,Santi Daniele24

Affiliation:

1. Department of Obstetrics and Gynaecology Fertility Centre Azienda Unità Sanitaria Locale‐IRCCS di Reggio Emilia Reggio Emilia Italy

2. Department of Medical Specialties Unit of Endocrinology Ospedale Civile of Baggiovara Azienda Ospedaliero‐Universitaria of Modena Modena Italy

3. Clinical and Experimental Medicine PhD Program University of Modena and Reggio Emilia Modena Italy

4. Department of Biomedical, Metabolic and Neural Sciences Unit of Endocrinology University of Modena and Reggio Emilia Modena Italy

Publisher

Wiley

Subject

Urology,Endocrinology,Reproductive Medicine,Endocrinology, Diabetes and Metabolism

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