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Asian Journal of Andrology
Article . 2024 . Peer-reviewed
Data sources: Crossref
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Asian Journal of Andrology
Article . 2024
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Predictive parameters of the efficacy of varicocele repair: a review

Authors: Crafa, Andrea; Cannarella, Rossella; Condorelli, Rosita A; Mongioì, Laura M; Vignera, Sandro La; Calogero, Aldo E;

Predictive parameters of the efficacy of varicocele repair: a review

Abstract

Abstract Varicocele has a prevalence of 15% in the population and represents a primary cause of infertility in 40% of cases and a secondary cause in approximately 80% of cases. It is considered the major correctable cause of male infertility. Despite its high prevalence in the infertile population, a large number of patients with varicocele do not experience reproductive difficulties. For this reason, it is still highly debated which parameters could be used to predict which patients with varicocele will be most likely to benefit from its repair. The main international and European guidelines state that treatment should only be considered in infertile patients with abnormal sperm quality. However, these guidelines do not help physicians to identify which of these patients may benefit from the treatment. Therefore, this narrative review collects the evidence in the literature on the usefulness of some factors as predictors of improvement, highlighting how some of them may be effective in an initial selection of patients to be treated, while others are promising but further studies are needed. Finally, a brief consideration on the possible role of artificial intelligence is proposed.

Related Organizations
Keywords

varicocele, Male, Invited Review, varicocele repair, artificial intelligence, Diseases of the genitourinary system. Urology, Treatment Outcome, Artificial Intelligence, Varicocele, Humans, RC870-923, predictive parameters, Infertility, Male

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
Green
gold