Literature DB >> 26952783

Effectiveness of in vitro fertilization with preimplantation genetic screening: a reanalysis of United States assisted reproductive technology data 2011-2012.

Vitaly A Kushnir1, Sarah K Darmon2, David F Albertini3, David H Barad4, Norbert Gleicher5.   

Abstract

OBJECTIVE: To assess effectiveness of preimplantation genetic screening (PGS) in fresh IVF cycles.
DESIGN: Reanalysis of retrospective US national data.
SETTING: Not applicable. PATIENT(S): A total of 5,471 fresh autologous IVF cycles with PGS and 97,069 cycles without PGS, reported in 2011-2012 to the Centers for Disease Control and Prevention. INTERVENTION(S): Not applicable. MAIN OUTCOME MEASURE(S): Cycles that reached ET, miscarriage rates, live birth rates per cycle and per transfer. RESULT(S): More PGS than non-PGS cycles reached ET (64.2% vs. 62.3%), suggesting favorable patient selection bias for patients using PGS. Nevertheless, live births rates per cycle start (25.2% vs. 28.8%) and per ET (39.3% vs. 46.2%) were significantly better in non-PGS cycles, whereas miscarriage rates were similar (13.7% vs. 13.9%). With a maternal age >37 years significantly more cycles in the PGS group reached ET (53.1% vs. 41.9%), suggesting a significant selection bias for more favorable patients in the PGS population. This bias rather than the PGS procedure may partially explain the observed improved live birth rate per cycle (17.7% vs. 12.7%) and lower miscarriage rate (16.8% vs. 26.0%) in the older PGS group. CONCLUSION(S): Overall, PGS decreased chances of live birth in association with IVF. National improvements in live birth and miscarriage rates reported with PGS in older women are likely the consequence of favorable patient selection biases.
Copyright © 2016 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  In vitro fertilization; aneuploidy; embryo selection; preimplantation genetic diagnosis; preimplantation genetic screening

Mesh:

Year:  2016        PMID: 26952783     DOI: 10.1016/j.fertnstert.2016.02.026

Source DB:  PubMed          Journal:  Fertil Steril        ISSN: 0015-0282            Impact factor:   7.329


  23 in total

1.  Technology versus biology: the limits of pre-implantation genetic screening: Better methods to detect the origin of aneuploidy in pre-implantation embryos could improve the success rate of artificial reproduction.

Authors:  Eli Y Adashi; Rajiv C McCoy
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2.  Improving IVF: is there a limit to our ability to manipulate human biology?

Authors:  Pasquale Patrizio; Sherman Silber
Journal:  J Assist Reprod Genet       Date:  2016-10-28       Impact factor: 3.412

3.  Mosaicism: throwing the baby out with the bath water?

Authors:  Mario Vega; Sangita Jindal
Journal:  J Assist Reprod Genet       Date:  2016-10-04       Impact factor: 3.412

4.  Pregnancy and child developmental outcomes after preimplantation genetic screening: a meta-analytic and systematic review.

Authors:  Misaki N Natsuaki; Laura M Dimler
Journal:  World J Pediatr       Date:  2018-07-31       Impact factor: 2.764

5.  Should preimplantation genetic screening (PGS) be implemented to routine IVF practice?

Authors:  Raoul Orvieto; Norbert Gleicher
Journal:  J Assist Reprod Genet       Date:  2016-09-15       Impact factor: 3.412

6.  Effect of Embryo Developmental Stage, Morphological Grading, and Ploidy Status on Live Birth Rate in Frozen Cycles of Single Blastocyst Transfer.

Authors:  Hui Ji; Yuxi Zhou; Shanren Cao; Junqiang Zhang; Xiufeng Ling; Chun Zhao; Rong Shen
Journal:  Reprod Sci       Date:  2020-11-10       Impact factor: 3.060

7.  Cumulus cell pappalysin-1, luteinizing hormone/choriogonadotropin receptor, amphiregulin and hydroxy-delta-5-steroid dehydrogenase, 3 beta- and steroid delta-isomerase 1 mRNA levels associate with oocyte developmental competence and embryo outcomes.

Authors:  Richard J Kordus; Akhtar Hossain; Michael C Corso; Hrishikesh Chakraborty; Gail F Whitman-Elia; Holly A LaVoie
Journal:  J Assist Reprod Genet       Date:  2019-06-11       Impact factor: 3.412

8.  Less-invasive chromosome screening of embryos and embryo assessment by genetic studies of DNA in embryo culture medium.

Authors:  Jing Zhang; Hong Xia; Haixia Chen; Chenxi Yao; Lizhen Feng; Xueru Song; Xiaohong Bai
Journal:  J Assist Reprod Genet       Date:  2019-11-15       Impact factor: 3.412

9.  Single best euploid versus single best unknown-ploidy blastocyst frozen embryo transfers: a randomized controlled trial.

Authors:  Kemal Ozgur; Murat Berkkanoglu; Hasan Bulut; Gonul Didem Akay Yoruk; Nevrah Nal Candurmaz; Kevin Coetzee
Journal:  J Assist Reprod Genet       Date:  2019-01-07       Impact factor: 3.412

10.  Molar pregnancy after in vitro fertilization with euploid single embryo transfer.

Authors:  Beth Zhou; Helen Paige Anglin; Alexander M Quaas
Journal:  F S Rep       Date:  2021-01-22
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