Evidence map›Paper›PMID 27738115›Full record

ReviewHuman reproduction (Oxford, England)2017

Detecting mosaicism in trophectoderm biopsies: current challenges and future possibilities.

Antonio Capalbo, Filippo Maria Ubaldi, Laura Rienzi, Richard Scott, Nathan Treff

Abstract readReview
In one paragraph

Review in Human reproduction (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 2 pooled it
–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

62 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Antonio CapalboGENERA, Centers for Reproductive Medicine, Via G. De Notaris 2/B, Rome 00197, Italy.
Filippo Maria UbaldiGENERA, Centers for Reproductive Medicine, Via G. De Notaris 2/B, Rome 00197, Italy.
Laura RienziGENERA, Centers for Reproductive Medicine, Via G. De Notaris 2/B, Rome 00197, Italy.
Richard ScottReproductive Medicine Associates of New Jersey, 140 Allen Road, Basking Ridge, NJ 07920, USA.
Nathan TreffReproductive Medicine Associates of New Jersey, 140 Allen Road, Basking Ridge, NJ 07920, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Embryonic mosaicism, defined as the presence of karyotypically distinct cell lines within an embryo, has been frequently reported with a high incidence in preimplantation embryos derived from IVF and is thought to be one of the major biological limitations for the routine application of PGD for aneuploidies (PGD-A). The incidence of mosaicism in preimplantation embryos is in fact reported to be between 4 and 90%. However, these data are in sharp contrast with what is known from clinical pregnancies, where true foetal mosaicism is observed in less than 0.5% of cases. Here, we challenge these previous observations in preimplantation embryos, presenting an alternative perspective, which also considers the impact of technical variation to diagnose mosaicism as one possible cause contributing to overestimation of the incidence of mosaicism in embryos. Although euploid/aneuploid mosaicism may be present in blastocysts, the possibility of detecting this phenomenon within a single trophectoderm biopsy represents a contemporary challenge to bring about improvement to the practice of PGD-A. The purpose of this opinion paper is to provide a critical review of the literature, provide a possible alternative interpretation of the data, and discuss future challenges with diagnosing mosaicism in PGD-A cycles.

Indexed as

MosaicismPreimplantation DiagnosisBiopsyFemaleHumansKaryotypingPregnancychromosomal abnormalitiesembryo selectionICSI outcomeIVFmosaicismPGD PGS

Identifiers

PMID27738115
PMCPMC5400043

What OpenQuestion holds

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Registered trials

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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.