Open AccessReducing the incidence of twins from IVF treatments: predictive modelling from a retrospective cohort
Author(s) -
Stephen A. Roberts,
Linda McGowan,
W. Mark Hirst,
Andy Vail,
Anthony J. Rutherford,
Brian A. Lieberman,
Daniel R. Brison
Publication year - 2010
Publication title -
human reproduction
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.446
H-Index - 226
eISSN - 1460-2350
pISSN - 0268-1161
DOI - 10.1093/humrep/deq352
Subject(s) - live birth , embryo transfer , single embryo transfer , singleton , pregnancy , selection (genetic algorithm) , retrospective cohort study , medicine , set (abstract data type) , obstetrics , transfer (computing) , gynecology , biology , computer science , surgery , genetics , artificial intelligence , parallel computing , programming language
IVF treatments carry a high risk of twin pregnancy which confers a higher risk to the mother and child than singletons. Increased use of elective single embryo transfer (eSET) can reduce this twin rate. We aimed to utilize a previously published data set and statistical model based on routinely collected clinical data to predict the outcomes of policies that increase the proportion of eSET.