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Fertility and Sterility
Article . 2024 . Peer-reviewed
License: CC BY
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Predictors of success after in vitro fertilization

Authors: Laxmi Shingshetty; Natalie J. Cameron; David J. Mclernon; Siladitya Bhattacharya;

Predictors of success after in vitro fertilization

Abstract

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.

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Keywords

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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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Top 10%
Top 10%
hybrid
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