Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/85159
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Type: Journal article
Title: Prediction models in reproductive medicine: a critical appraisal
Author: Leushuis, E.
van der Steeg, J.
Steures, P.
Bossuyt, P.
Eijkemans, M.
van der Veen, F.
Mol, B.
Hompes, P.
Citation: Human Reproduction Update, 2009; 15(5):537-552
Publisher: Oxford University Press
Issue Date: 2009
ISSN: 1355-4786
1460-2369
Statement of
Responsibility: 
Esther Leushuis, Jan Willem van der Steeg, Pieternel Steures, Patrick M.M. Bossuyt, Marinus J.C. Eijkemans, Fulco van der Veen, Ben W.J. Mol, and Peter G.A. Hompes
Abstract: BACKGROUND Prediction models have been developed in reproductive medicine to help assess the chances of a treatment-(in)dependent pregnancy. Careful evaluation is needed before these models can be implemented in clinical practice. METHODS We systematically searched the literature for papers reporting prediction models in reproductive medicine for three strategies: expectant management, intrauterine insemination (IUI) or in vitro fertilization (IVF). We evaluated which phases of development these models had passed, distinguishing between (i) model derivation, (ii) internal and/or external validation, and (iii) impact analysis. We summarized their performance at external validation in terms of discrimination and calibration. RESULTS We identified 36 papers reporting on 29 prediction models. There were 9 models for the prediction of treatment-independent pregnancy, 3 for the prediction of pregnancy after IUI and 17 for the prediction of pregnancy after IVF. All of the models had completed the phase of model derivation. For six models, the validity of the model was assessed only in the population in which it was developed (internal validation). For eight models, the validity was assessed in populations other than the one in which the model was developed (external validation), and only three of these showed good performance. One model had reached the phase of impact analysis. CONCLUSIONS Currently, there are three models with good predictive performance. These models can be used reliably as a guide for making decisions about fertility treatment, in patients similar to the development population. The effects of using these models in patient care have to be further investigated.
Keywords: Prediction model; fertility; pregnancy; spontaneous pregnancy; ART (IUI/IVF)
Rights: © The Author 2009.
RMID: 0020136880
DOI: 10.1093/humupd/dmp013
Appears in Collections:Obstetrics and Gynaecology publications

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