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Corifollitropin alpha has been demonstrated to be non-inferior to other gonadotropins in reproductive outcomes. However, its impact on follicular ovarian responsiveness has never been evaluated. Follicular Output Rate (FORT) is an option for objective assessment of the follicular responsiveness. A prospective study was conducted with 306 infertile patients undergoing in vitro fertilisation. Ovarian stimulation protocol was performed with a single dose of 100 μg (60kg) or 150 μg (≥60kg) corifollitropin alpha in group 1 (n = 147), and 150-300 IU/day human menopausal gonadotropin in group 2 (n = 150). Comparing ovarian stimulation between corifollitropin alpha and human menopausal gonadotropin, no differences regarding FORT were found (40.0% for group 1 versus 40.83% for group 2; p = 0.930). Patients treated with corifollitropin alpha had a higher number of embryos when compared with human menopausal gonadotropin group (3.0 for group 1 versus 2.0 for group 2; p = 0.04). Other secondary outcomes preset were similar between groups. Therefore, corifollitropin alpha can be an excellent option to simplify in vitro fertilisation treatment due to the "patient-friendly" protocol.

PURPOSE: To study the use of in silica model to better understand and propose new markers of ovarian response to controlled ovarian stimulation before IVF. METHODS: A systematic review and in silica model using bioinformatics. After the selection of 103 papers from a systematic review process, we performed a GRADE qualification of all included papers for evidence-based quality evaluation. We included 57 genes in the silica model using a functional protein network interaction. Moreover, the construction of protein-protein interaction network was done importing these results to Cytoscape. Therefore, a cluster analysis using MCODE was done, which was exported to a plugin BINGO to determine Gene Ontology. A p value of < 0.05 was considered significant, using a Bonferroni correction test. RESULTS: In silica model was robust, presenting an ovulation-related gene network with 87 nodes (genes) and 348 edges (interactions between the genes). Related to the network centralities, the network has a betweenness mean value = 102.54; closeness mean = 0.007; and degree mean = 8.0. Moreover, the gene with a higher betweenness was PTPN1. Genes with the higher closeness were SRD5A1 and HSD17B3, and the gene with the lowest closeness was GDF9. Finally, the gene with a higher degree value was UBB; this gene participates in the regulation of TP53 activity pathway. CONCLUSIONS: This systematic review demonstrated that we cannot use any genetic marker before controlled ovarian stimulation for IVF. Moreover, in silica model is a useful tool for understanding and finding new markers for an IVF individualization. PROSPERO: CRD42020197185 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10815-021-02141-0.