Predictive models of recurrent implantation failure in patients receiving ART treatment based on clinical features and routine laboratory data

Abstract Study question The objective was to construct a model for predicting the probability of recurrent implantation failure (RIF) after assisted reproductive technology (ART) treatment based on the clinical characteristics and routine laboratory test data of infertile patients. Summary answer A...

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Hauptverfasser:	Qunying Fang, Zonghui Qiao, Lei Luo, Shun Bai, Min Chen, Xiangjun Zhang, Lu Zong, Xian-hong Tong, Li-min Wu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	BMC 2024-03-01
Schriftenreihe:	Reproductive Biology and Endocrinology
Schlagworte:	Recurrent implantation failure Assisted reproductive technology Logistic regression analysis Risk factors
Online-Zugang:	https://doi.org/10.1186/s12958-024-01203-z
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