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Predictive factors in in vitro fertilization (IVF): a systematic review and meta-analysis.
MedLine Citation:
PMID:  20581128     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
BACKGROUND: Various models have been developed for the prediction of pregnancy after in vitro fertilization (IVF). These models differ from one another in the predictors they include. We performed a systematic review and meta-analysis to identify the most relevant predictors for success in IVF.
METHODS: We systematically searched MEDLINE and EMBASE for studies evaluating IVF/ICSI outcome. Studies were included if they reported an unconditional odds ratio (OR) or whenever one could be calculated for one or more of the following factors: age, type of infertility, indication, duration of infertility, basal FSH, number of oocytes, fertilization method, number of embryos transferred and embryo quality.
RESULTS: Fourteen studies were identified. A summary OR could be calculated for five factors. We found negative associations between pregnancy and female age [OR: 0.95, 95% confidence interval (CI): 0.94-0.96], duration of subfertility (OR: 0.99, 95% CI: 0.98-1.00) and basal FSH (OR: 0.94, 95% CI: 0.88-1.00). We found a positive association with number of oocytes (OR 1.04, 95% CI: 1.02-1.07). Better embryo quality was associated with higher pregnancy chances. No significant association was found for the type of infertility and fertilization method. A summary OR for IVF indication and number of embryos transferred could not be calculated, because studies reporting on these used different reference categories.
CONCLUSIONS: Female age, duration of subfertility, bFSH and number of oocytes, all reflecting ovarian function, are predictors of pregnancy after IVF. Better quality studies are necessary, especially studies that focus on embryo factors that are predictive of success in IVF.
Authors:
L L van Loendersloot; M van Wely; J Limpens; P M M Bossuyt; S Repping; F van der Veen
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Publication Detail:
Type:  Journal Article     Date:  2010-06-25
Journal Detail:
Title:  Human reproduction update     Volume:  16     ISSN:  1460-2369     ISO Abbreviation:  Hum. Reprod. Update     Publication Date:    2010 Nov-Dec
Date Detail:
Created Date:  2010-10-14     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9507614     Medline TA:  Hum Reprod Update     Country:  England    
Other Details:
Languages:  eng     Pagination:  577-89     Citation Subset:  IM    
Affiliation:
Department of Obstetrics and Gynaecology, Centre for Reproductive Medicine, Meibergdreef 9, Amsterdam, The Netherlands. l.l.vanloendersloot@amc.uva.nl
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