Literature DB >> 29040590

Constructing the crystal ball: how to get reliable prognostic information for the management of subfertile couples.

R van Eekelen1,2, N van Geloven3, M van Wely1, D J McLernon4, M J Eijkemans2, S Repping1, E W Steyerberg3,5, B W Mol6, S Bhattacharya7, F van der Veen1.   

Abstract

Couples in whom the results of an initial fertility workup fail to identify the presence of any obvious barriers to conception are diagnosed with unexplained subfertility. Couples who have tried to conceive for a relatively short time have a good chance of natural conception and thus may not benefit from immediate access to ART. As fertility decreases over time, the main dilemma that clinicians and couples face is when to abandon an expectant approach in favour of active treatment. Several prognostic or predictive models have been used to try to discriminate between couples with high and low chances of conception but have been unable to compare individualized chances of conception associated with ART relative to chances of natural conception at various time points. These models are also unable to recalculate the chances of pregnancy at subsequent time points in those who return after a period of unsuccessful expectant management. In this paper, we discuss currently available models. We conclude that in order to provide accurate, individualized and dynamic fertility prognoses associated with and without treatment at different points in time, we need to develop, validate and update clinical prediction models which are fit for purpose. We suggest several steps to move the field forwards.
© The Author 2017. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  ART; dynamic prediction; natural conception; prediction models; prognosis; unexplained subfertility

Mesh:

Year:  2017        PMID: 29040590     DOI: 10.1093/humrep/dex311

Source DB:  PubMed          Journal:  Hum Reprod        ISSN: 0268-1161            Impact factor:   6.918


  6 in total

Review 1.  Advanced Maternal Age in IVF: Still a Challenge? The Present and the Future of Its Treatment.

Authors:  Filippo Maria Ubaldi; Danilo Cimadomo; Alberto Vaiarelli; Gemma Fabozzi; Roberta Venturella; Roberta Maggiulli; Rossella Mazzilli; Susanna Ferrero; Antonio Palagiano; Laura Rienzi
Journal:  Front Endocrinol (Lausanne)       Date:  2019-02-20       Impact factor: 5.555

2.  A comparison of the beta-geometric model with landmarking for dynamic prediction of time to pregnancy.

Authors:  Rik van Eekelen; Hein Putter; David J McLernon; Marinus J Eijkemans; Nan van Geloven
Journal:  Biom J       Date:  2019-11-18       Impact factor: 2.207

3.  Does the effectiveness of IUI in couples with unexplained subfertility depend on their prognosis of natural conception? A replication of the H2Oil study.

Authors:  R van Eekelen; K Rosielle; N van Welie; K Dreyer; M van Wely; B W Mol; M J Eijkemans; V Mijatovic; N van Geloven
Journal:  Hum Reprod Open       Date:  2020-11-17

4.  IVF for unexplained subfertility; whom should we treat?

Authors:  R van Eekelen; N van Geloven; M van Wely; S Bhattacharya; F van der Veen; M J Eijkemans; D J McLernon
Journal:  Hum Reprod       Date:  2019-07-08       Impact factor: 6.353

5.  Cost-effectiveness of medically assisted reproduction or expectant management for unexplained subfertility: when to start treatment?

Authors:  R van Eekelen; M J Eijkemans; M Mochtar; F Mol; B W Mol; H Groen; M van Wely
Journal:  Hum Reprod       Date:  2020-09-02       Impact factor: 6.918

6.  Expectant Management Before In vitro Fertilization in Women Aged 39 or Above and Unexplained Infertility Does Not Decrease Live Birth Rates Compared to Immediate Treatment.

Authors:  Andrea Roberto Carosso; Rik van Eekelen; Alberto Revelli; Stefano Canosa; Noemi Mercaldo; Ilaria Stura; Stefano Cosma; Carlotta Scarafia; Chiara Benedetto; Gianluca Gennarelli
Journal:  Reprod Sci       Date:  2021-11-01       Impact factor: 2.924

  6 in total

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