Prediction models in in vitro fertilization; where are we? A mini review
Since the introduction of in vitro fertilization (IVF) in 1978, over five million babies have been born worldwide using IVF. Contrary to the perception of many, IVF does not guarantee success. Almost 50% of couples that start IVF will remain childless, even if they undergo multiple IVF cycles. The d...
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Format: | Article |
Language: | English |
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Elsevier
2014-05-01
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Series: | Journal of Advanced Research |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2090123213000659 |
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author | Laura van Loendersloot S. Repping P.M.M. Bossuyt F. van der Veen M. van Wely |
author_facet | Laura van Loendersloot S. Repping P.M.M. Bossuyt F. van der Veen M. van Wely |
author_sort | Laura van Loendersloot |
collection | DOAJ |
description | Since the introduction of in vitro fertilization (IVF) in 1978, over five million babies have been born worldwide using IVF. Contrary to the perception of many, IVF does not guarantee success. Almost 50% of couples that start IVF will remain childless, even if they undergo multiple IVF cycles. The decision to start or pursue with IVF is challenging due to the high cost, the burden of the treatment, and the uncertain outcome. In optimal counseling on chances of a pregnancy with IVF, prediction models may play a role, since doctors are not able to correctly predict pregnancy chances. There are three phases of prediction model development: model derivation, model validation, and impact analysis. This review provides an overview on predictive factors in IVF, the available prediction models in IVF and provides key principles that can be used to critically appraise the literature on prediction models in IVF. We will address these points by the three phases of model development. |
first_indexed | 2024-12-12T11:01:33Z |
format | Article |
id | doaj.art-2cbce787a7af4cb8ac9261babbfda6eb |
institution | Directory Open Access Journal |
issn | 2090-1232 2090-1224 |
language | English |
last_indexed | 2024-12-12T11:01:33Z |
publishDate | 2014-05-01 |
publisher | Elsevier |
record_format | Article |
series | Journal of Advanced Research |
spelling | doaj.art-2cbce787a7af4cb8ac9261babbfda6eb2022-12-22T00:26:30ZengElsevierJournal of Advanced Research2090-12322090-12242014-05-015329530110.1016/j.jare.2013.05.002Prediction models in in vitro fertilization; where are we? A mini reviewLaura van Loendersloot0S. Repping1P.M.M. Bossuyt2F. van der Veen3M. van Wely4Center for Reproductive Medicine, Department of Obstetrics and Gynaecology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The NetherlandsCenter for Reproductive Medicine, Department of Obstetrics and Gynaecology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The NetherlandsDepartment of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The NetherlandsCenter for Reproductive Medicine, Department of Obstetrics and Gynaecology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The NetherlandsCenter for Reproductive Medicine, Department of Obstetrics and Gynaecology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The NetherlandsSince the introduction of in vitro fertilization (IVF) in 1978, over five million babies have been born worldwide using IVF. Contrary to the perception of many, IVF does not guarantee success. Almost 50% of couples that start IVF will remain childless, even if they undergo multiple IVF cycles. The decision to start or pursue with IVF is challenging due to the high cost, the burden of the treatment, and the uncertain outcome. In optimal counseling on chances of a pregnancy with IVF, prediction models may play a role, since doctors are not able to correctly predict pregnancy chances. There are three phases of prediction model development: model derivation, model validation, and impact analysis. This review provides an overview on predictive factors in IVF, the available prediction models in IVF and provides key principles that can be used to critically appraise the literature on prediction models in IVF. We will address these points by the three phases of model development.http://www.sciencedirect.com/science/article/pii/S2090123213000659In vitro fertilizationPredictive factorsPrediction modelsPregnancy |
spellingShingle | Laura van Loendersloot S. Repping P.M.M. Bossuyt F. van der Veen M. van Wely Prediction models in in vitro fertilization; where are we? A mini review Journal of Advanced Research In vitro fertilization Predictive factors Prediction models Pregnancy |
title | Prediction models in in vitro fertilization; where are we? A mini review |
title_full | Prediction models in in vitro fertilization; where are we? A mini review |
title_fullStr | Prediction models in in vitro fertilization; where are we? A mini review |
title_full_unstemmed | Prediction models in in vitro fertilization; where are we? A mini review |
title_short | Prediction models in in vitro fertilization; where are we? A mini review |
title_sort | prediction models in in vitro fertilization where are we a mini review |
topic | In vitro fertilization Predictive factors Prediction models Pregnancy |
url | http://www.sciencedirect.com/science/article/pii/S2090123213000659 |
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