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Algorithm-based individualization methodology of the starting gonadotropin dose in IVF/ICSI and the freeze-all strategy prevent OHSS equally in normal responders: a systematic review and network meta-analysis of the evidence.

Authors :
Marino A
Gullo S
Sammartano F
Volpes A
Allegra A
Source :
Journal of assisted reproduction and genetics [J Assist Reprod Genet] 2022 Jul; Vol. 39 (7), pp. 1583-1601. Date of Electronic Publication: 2022 May 13.
Publication Year :
2022

Abstract

Purpose: Ovarian hyperstimulation syndrome (OHSS) represents a rare but dangerous condition associated with controlled ovarian stimulation (COS) in IVF/ICSI. Over the last decades, many strategies have been introduced into clinical practice with the objective of preventing this potentially life-threatening condition. Among these, the freeze-all policy has gained great popularity, thanks to improvements in vitrification. Nevertheless, not all clinics have adequate skills in vitrification procedures and patients may be dissatisfied with a longer time to pregnancy.<br />Methods: This study is a systematic review and network meta-analysis of randomized controlled trials comparing different strategies of ovarian stimulation in IVF/ICSI cycles (freeze-all policy, algorithm-based individualization of the starting dose, experience-based individualization of the starting dose, standard dose) in terms of reduction of OHSS, in normal responders.<br />Results: The results indicate that only the algorithm-based individualization of the starting gonadotropin dose reduces OHSS similarly to the freeze-all strategy.<br />Conclusion: Albeit in the era of the freeze-all policy, the personalization of the starting gonadotropin dose obtained by the use of algorithms should be pursued as a valid and safe option for IVF.<br /> (© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Details

Language :
English
ISSN :
1573-7330
Volume :
39
Issue :
7
Database :
MEDLINE
Journal :
Journal of assisted reproduction and genetics
Publication Type :
Academic Journal
Accession number :
35551563
Full Text :
https://doi.org/10.1007/s10815-022-02503-2