Modelos predictivos en reproducción asistida: revisión sistemática y análisis crítico

Abstract

In medicine, there is a growing interest in predicting the individual risk of patients to develop a specific health problem or to predict their response to a treatment. Since in vitro fertilisation (IVF) an be physically and emotionally stressful, and as it is not free of health risks, the couples candidates for IVF should be well informed about the chances of success before each treatment cycle. A systematic review and a critical analysis of predictive models of ovarian response to stimulation and pregnancy after IVF is presented, showing, that in many cases the quality of these models is low. The inadequate methodology when developing a predictive model makes it difficult to apply in clinical practice. It is essential to develop, and to have methodologically appropriate predictive models, in order to optimise predictive capacity in assisted reproduction and achieve a true individualisation and personalisation in reproductive medicine.