Evidence map›Paper›PMID 35920991›Full record

ArticleJournal of assisted reproduction and genetics2022

Frequency of embryos appropriate for transfer following preimplantation genetic testing for monogenic disease.

Emma Stocker, Sheila Johal, Larisa Rippel, Rebecca Darrah

Abstract read
In one paragraph

Article in Journal of assisted reproduction and genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Emma StockerDepartment of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, USA. emma.stocker@ascension.org.ORCID http://orcid.org/0000-0001-7807-8447
Sheila JohalCooperGenomics, Livingston, NJ, USA.
Larisa RippelCenter for Human Genetics, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Rebecca DarrahDepartment of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo identify specific likelihoods that an embryo will be classified as appropriate for transfer after preimplantation genetic testing for detection of a monogenic disorder (PGT-M), with or without preimplantation genetic testing for aneuploidy (PGT-A), separated by inheritance pattern.

methodsRetrospective chart review of 181 selected PGT-M cycles performed at CooperGenomics in 2018 or 2019. For each cycle, the following main outcome data was collected: the number of embryos classified as affected with monogenic disease, the number detected to be chromosomally abnormal, the number that were recombinant, the number that had no result, and if applicable, the number which were aneuploid.

resultsThere were significantly fewer embryos appropriate to consider for transfer when PGT-A was included for autosomal recessive and X-linked disorders. There were also fewer for autosomal dominant disorders, though this was not statistically significant. When PGT-A was not included, 45.8% of autosomal dominant, 69% of autosomal recessive, and 47.8% of X-linked embryos were appropriate to consider for transfer. When PGT-A analysis was included, 29% of autosomal dominant, 41% of autosomal recessive, and 22% of X-linked embryos were appropriate to consider for transfer. 96.8% of women elect to include PGT-A when pursuing PGT-M.

conclusionThis study resulted in specific likelihoods that an embryo would be found appropriate for clinicians and patients to consider for transfer based on the inheritance pattern of the monogenic disease being tested for and whether aneuploidy analysis was included.

Indexed as

Preimplantation DiagnosisAneuploidyEmbryo TransferFemaleGenetic TestingHumansPregnancyRetrospective StudiesAneuploidyEmbryoInheritance patternMonogenicPreimplantation genetic testingSingle gene disorder

Identifiers

PMID35920991
PMCPMC9474744

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.