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A prognosis-based approach to infertility: understanding the role of time
Author(s) -
David F. Albertini,
Richard A. Anderson,
Siladitya Bhattacharya,
J.L.H. Evers,
David J. McLer,
Sjoerd Repping,
Edgardo Somigliana,
David T. Baird,
Pier Giorgio Crosignani,
K. Diedrich,
Roy G. Farquharson,
Kersti Lundin,
Juha S. Tapanainen,
André Van Steirteghem
Publication year - 2017
Publication title -
human reproduction
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.446
H-Index - 226
eISSN - 1460-2350
pISSN - 0268-1161
DOI - 10.1093/humrep/dex214
Subject(s) - infertility , pregnancy , prioritization , medicine , unexplained infertility , intensive care medicine , preference , gynecology , obstetrics , genetics , management science , economics , biology , microeconomics
The current definition of infertility acknowledges the importance of duration of pregnancy seeking but fails to recognize the prevalent negative impact of female age. In fact, the diagnosis of unexplained infertility increases with women's age because of our incapacity to discern between age-related infertility and real unexplained infertility. Physicians' response to the pressures of increased female age has been to take prompt refuge in assisted reproduction despite the lack of robust evidence and the inherent risks and costs of these procedures. Moreover, the prioritization of immediate health gains over those in the future, preference for accessing active treatment rapidly and reluctance to wait for spontaneous pregnancy expose patients to additional risks of overtreatment. Solutions are not simple to find but an alternative and innovative vision of infertility based on prognosis may be a valid solution. The availability of validated dynamic models based on real-life data that could predict both natural and ART-mediated conceptions may be of benefit. They could facilitate patients' counselling and could optimize the chances of success without exposing patients to unnecessary, expensive and demanding treatments.

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