Quality of clinical prediction models in in vitro fertilisation: Which covariates are really important to predict cumulative live birth and which models are best?

David J McLernon* (Corresponding Author), Siladitya Bhattacharya

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

4 Citations (Scopus)

Abstract

The improvement in IVF cryopreservation techniques over the last 20 years has led to an increase in elective single embryo transfer, thus reducing multiple pregnancy rates. This strategy of successive transfers of fresh followed by frozen embryos has resulted in the acceptance of using cumulative live birth over complete cycles of IVF as a critical measure of success. Clinical prediction models are a useful way of estimating the cumulative chances of success for couples tailored to their individual clinical factors, which help them prepare for and plan future treatment. In this review, we describe several models that predict cumulative live birth and recommend which should be used by couples and/or their clinicians and when they should be used. We also discuss the most relevant predictors to consider when either developing new IVF prediction models or updating existing models.

Original languageEnglish
Article number102309
Number of pages12
JournalBest Practice & Research Clinical Obstetrics & Gynaecology
Volume86
Early online date2 Feb 2023
DOIs
Publication statusPublished - Feb 2023

Keywords

  • In vitro fertilisation
  • Clinical prediction models
  • Predictors
  • Ovarian reserve
  • Female age

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