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Journal of Assisted Reproduction and Genetics
Erschienen in:

13.05.2022 | Assisted Reproduction Technologies

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

verfasst von: Angelo Marino, Salvatore Gullo, Francesca Sammartano, Aldo Volpes, Adolfo Allegra

Erschienen in: Journal of Assisted Reproduction and Genetics | Ausgabe 7/2022

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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.

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.

Results

The results indicate that only the algorithm-based individualization of the starting gonadotropin dose reduces OHSS similarly to the freeze-all strategy.

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.
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Metadaten
Titel
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
verfasst von
Angelo Marino
Salvatore Gullo
Francesca Sammartano
Aldo Volpes
Adolfo Allegra
Publikationsdatum
13.05.2022
Verlag
Springer US
Erschienen in
Journal of Assisted Reproduction and Genetics / Ausgabe 7/2022
Print ISSN: 1058-0468
Elektronische ISSN: 1573-7330
DOI
https://doi.org/10.1007/s10815-022-02503-2

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