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Human Reproduction
Article . 2022 . Peer-reviewed
License: OUP Standard Publication Reuse
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We have reached a dead end for preimplantation genetic testing for aneuploidy

Authors: Norbert Gleicher; David H Barad; Pasquale Patrizio; Raoul Orvieto;

We have reached a dead end for preimplantation genetic testing for aneuploidy

Abstract

Abstract The hypothesis of preimplantation genetic testing for aneuploidy (PGT-A) was first proposed 20 years ago, suggesting that during IVF elimination of aneuploid embryos prior to transfer will improve implantation rates of remaining embryos and, therefore, increase pregnancy and live birth rates, while also reducing miscarriages. Subsequently, unvalidated and increasingly unrestricted clinical utilization of PGT-A called for at least one properly randomized controlled trial (RCT) to assess cumulative live birth rates following a single oocyte retrieval, utilizing all fresh and frozen embryos of an IVF cycle. Only recently two such RCTs were published, however both, when properly analysed, not only failed to demonstrate significant advantages from utilization of PGT-A, but actually demonstrated outcome deficits in comparison to non-use of PGT-A, when patient selection biases in favour of PGT-A were reversed. Moreover, because of high embryo mosaicism at the blastocyst stage and, therefore, high false-positive rates from trophectoderm biopsies, large numbers of chromosomal-normal embryos with normal pregnancy potential are unnecessarily left unused or discarded, indisputably causing harm to affected couples. We, therefore, strongly call for restricting PGT-A to only research protocols and, as of this point in time, encourage professional societies in the field to follow suit with appropriate practice guidelines.

Keywords

Blastocyst, Pregnancy, Humans, Female, Genetic Testing, Embryo Implantation, Fertilization in Vitro, Aneuploidy, Preimplantation Diagnosis

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    popularity
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Top 10%
Top 10%
Top 1%
hybrid