ArticleReproductive biology and endocrinology : RB&E2023
Correlation between controlled ovarian stimulation protocols and euploid blastocyst rate in pre-implantation genetic testing for aneuploidy cycles.
Article in Reproductive biology and endocrinology : RB&E, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
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Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Progestin-primed ovarian stimulation (PPOS) in preimplantation genetic testing for aneuploidy: a retrospective study and meta-analysis.Archives of gynecology and obstetrics · 2025Pooled it
- Impact of the PPOS protocol on euploidy embryo rates and reproductive outcomes in preimplantation genetic testing cycles: a systematic review.Frontiers in endocrinology · 2025Pooled it
- Factors associated withFrontiers in endocrinology · 2026Article
- Age-stratified analysis of euploidy rates in Progestin-Primed Ovarian Stimulation (PPOS) utilizing micronized progesterone or dydrogesterone versus GnRH analogues.Journal of ovarian research · 2025Article
- Impact of controlled ovarian hyperstimulation protocols on aneuploidy of preimplantation blastocysts in women aged 21-37 years old.Journal of assisted reproduction and genetics · 2025Observational
- The accuracy and real resolution of karyotyping technique in detecting chromosomal aberrations identified by molecular genetic methods.Molecular genetics and genomics : MGG · 2025Article
- Euploidy rate and pregnancy outcomes in preimplantation genetic testing for aneuploidy cycles using progestin-primed ovarian stimulation versus GnRH antagonist protocol.Reproductive biology and endocrinology : RB&E · 2025Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundSeveral studies have explored which COS protocol yields a higher blastocyst euploidy rate, but findings have been inconsistent. The present study aimed to explore whether controlled ovarian stimulation (COS) protocols was associated with euploid blastocyst rate in pre-implantation genetic testing for aneuploidy (PGT-A) cycles.
methodsThe study was a retrospective study where data were obtained from three reproductive medicine centers. The study included PGT-A cycles with the GnRH-a, GnRH-ant, or PPOS protocols, and the data on patient demographics, protocols, and embryonic outcomes were collected for the PGT-A cycles performed between January 2019 and August 2022.
resultsThis study included 457 PGT-A cycles from three reproductive medicine centers, with 152, 126, and 179 cycles performed using the PPOS, GnRH-a, and GnRH-ant protocols, respectively. The baseline characteristics of the three groups show no significant differences were observed in female BMI, infertility type, and infertility duration among the PPOS, GnRH-a, and GnRH-ant protocol groups. The study found no significant association between Gn dosage, Gn duration, and blastocyst euploidy. The mean number of euploidy blastocysts in PPOS protocol was significantly lower than that of GnRH-a protocol and GnRH-ant protocol (0.75 ± 0.92 vs. 1.79 ± 1.78 vs. 1.80 ± 1.67). The euploidy rate per biopsy blastocyst (48.4% vs. 49.1% vs. 33.1%), per oocyte retrieved (15.0% vs. 14.7% vs. 10.5%), and per MII oocyte (17.7% vs. 16.4% vs. 11.7%) were significantly higher in the cycles using the GnRH-ant and GnRH-a protocols than that of PPOS protocol group. Regression analyses indicated that, compared with the PPOS protocol, the GnRH-ant protocol was positively associated with the euploid blastocyst rate and the mean number of euploid blastocysts, whereas the GnRH-a protocol showed no such relationship. LIMITATIONS AND REASONS FOR CAUTION: The main limitation of this study was the retrospective design. Although this study also used other tests to account for confounding factors and reduce potential bias, multiple tests have its own weaknesses.
conclusionsGnRH-ant protocol was the most effective for PGT-A cycles. The findings emphasize the need for personalized treatment strategies, considering patient demographics, and optimizing COS protocols to enhance the chances of successful outcomes in ART procedures.
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