ArticleBMC pregnancy and childbirth2022
Nomogram based on clinical and laboratory characteristics of euploid embryos using the data in PGT-A: a euploid-prediction model.
Article in BMC pregnancy and childbirth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Trial
- Pregnancy and neonatal outcomes following time-lapse versus conventional embryo culture: a retrospective cohort study.Frontiers in endocrinology · 2026Article
- Impact of blastocyst biopsy for preimplantation genetic testing on maternal and neonatal outcomes following single frozen embryo transfer cycles.BMC pregnancy and childbirth · 2025Article
- Preimplantation genetic testing in couples with balanced chromosome rearrangement: a four-year period real world retrospective cohort study.BMC pregnancy and childbirth · 2024Article
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Abstract
backgroundThe evaluation of embryo morphology may be inaccurate. A euploid prediction model is needed to provide the best and individualized counseling about embryo selection based on patients and embryo characteristics.
methodsOur objective was to develop a euploid-prediction model for evaluating blastocyst embryos, based on data from a large cohort of patients undergoing pre-implantation genetic testing for aneuploidy (PGT-A). This retrospective, single-center cohort study included data from 1610 blastocysts which were performed PGT-A with known genetic outcomes. The study population was divided into the training and validation cohorts in a 3:1 ratio. The performance of the euploid-prediction model was quantified using the area under the receiver operating characteristic (ROC) curve (AUC). In addition, a nomogram was drawn to provide quantitative and convenient tools in predicting euploid.
resultsWe developed a reliable euploid-prediction model and can directly assess the probability of euploid with the AUC (95%CI) of 0.859 (0.834,0.872) in the training cohort, and 0.852 (0.831,0.879) in the validation cohort, respectively. The euploid-prediction model showed sensitivities of 0.903 and specificities of 0.578.
conclusionsThe euploid-prediction model is a reliable prediction model and can directly assess the probability of euploid.
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