Algorithms for Predicting the Probability of Azoospermia from Follicle Stimulating Hormone: Design and Multi-Institutional External Validation

PURPOSE: To predict the probability of azoospermia without a semen analysis in men presenting with infertility by developing an azoospermia prediction model. MATERIALS AND METHODS: Two predictive algorithms were generated, one with follicle stimulating hormone (FSH) as the only input and another log...

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Detalles Bibliográficos
Autores principales: Tradewell, Michael B., Cazzaniga, Walter, Pagani, Rodrigo L., Reddy, Rohit, Boeri, Luca, Kresch, Eliyahu, Morgantini, Luca A., Ibrahim, Emad, Niederberger, Craig, Salonia, Andrea, Ramasamy, Ranjith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society for Sexual Medicine and Andrology 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482862/
https://www.ncbi.nlm.nih.gov/pubmed/35118840
http://dx.doi.org/10.5534/wjmh.210138

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482862/
https://www.ncbi.nlm.nih.gov/pubmed/35118840
http://dx.doi.org/10.5534/wjmh.210138

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