
The last few decades have witnessed a rise in the global uptake of in vitro fertilization (IVF) treatment. To ensure optimal use of this technology, it is important for patients and clinicians to have access to tools that can provide accurate estimates of treatment success and understand the contribution of key clinical and laboratory parameters that influence the chance of conception after IVF treatment. The focus of this review was to identify key predictors of IVF treatment success and assess their impact in terms of live birth rates. We have identified 11 predictors that consistently feature in currently available prediction models, including age, duration of infertility, ethnicity, body mass index, antral follicle count, previous pregnancy history, cause of infertility, sperm parameters, number of oocytes collected, morphology of transferred embryos, and day of embryo transfer.
Male, Infertility/therapy, Pregnancy Rate, Fertilization in Vitro, R Medicine, Fertilization in Vitro/methods, Invitro Fertilisation(IVF), live birth, Pregnancy, Predictive Value of Tests, Risk Factors, Obstetrics and Gynaecology, Humans, Embryo Transfer/methods, Intra-Cytoplasmic Sperm injection(ICSI), Predictors, R, Embryo Transfer, in vitro fertilization (IVF), Prediction Models, Treatment Outcome, Reproductive Medicine, Infertility, intracytoplasmic sperm injection (ICSI), Female, Live Birth
Male, Infertility/therapy, Pregnancy Rate, Fertilization in Vitro, R Medicine, Fertilization in Vitro/methods, Invitro Fertilisation(IVF), live birth, Pregnancy, Predictive Value of Tests, Risk Factors, Obstetrics and Gynaecology, Humans, Embryo Transfer/methods, Intra-Cytoplasmic Sperm injection(ICSI), Predictors, R, Embryo Transfer, in vitro fertilization (IVF), Prediction Models, Treatment Outcome, Reproductive Medicine, Infertility, intracytoplasmic sperm injection (ICSI), Female, Live Birth
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| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
