Evidence map›Paper›PMID 24795849›Full record

ArticlePeerJ2014

A new direction for prenatal chromosome microarray testing: software-targeting for detection of clinically significant chromosome imbalance without equivocal findings.

Joo Wook Ahn, Susan Bint, Melita D Irving, Phillipa M Kyle, Ranjit Akolekar, Shehla N Mohammed, Caroline Mackie Ogilvie

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2014. 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
6.6field-weighted citation impact, top 4% of its field
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, 17 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Joo Wook AhnCytogenetics, Guy's & St Thomas' NHS Foundation Trust , London , UK.
Susan BintCytogenetics, GSTS Pathology , London , UK.
Melita D IrvingClinical Genetics, Guy's & St Thomas' NHS Foundation Trust , London , UK.
Phillipa M KyleFetal Medicine Unit, Guy's & St Thomas' NHS Foundation Trust , London , UK.
Ranjit AkolekarFetal Medicine Unit, Medway Maritime Hospital , Kent , UK.
Shehla N MohammedClinical Genetics, Guy's & St Thomas' NHS Foundation Trust , London , UK.
Caroline Mackie OgilvieCytogenetics, Guy's & St Thomas' NHS Foundation Trust , London , UK ; King's College , London , UK.
Guy's and St Thomas' NHS Foundation Trust · GBMedway Maritime Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose. To design and validate a prenatal chromosomal microarray testing strategy that moves away from size-based detection thresholds, towards a more clinically relevant analysis, providing higher resolution than G-banded chromosomes but avoiding the detection of copy number variants (CNVs) of unclear prognosis that cause parental anxiety. Methods. All prenatal samples fulfilling our criteria for karyotype analysis (n = 342) were tested by chromosomal microarray and only CNVs of established deletion/duplication syndrome regions and any other CNV >3 Mb were detected and reported. A retrospective full-resolution analysis of 249 of these samples was carried out to ascertain the performance of this testing strategy. Results. Using our prenatal analysis, 23/342 (6.7%) samples were found to be abnormal. Of the remaining samples, 249 were anonymized and reanalyzed at full-resolution; a further 46 CNVs were detected in 44 of these cases (17.7%). None of these additional CNVs were of clear clinical significance. Conclusion. This prenatal chromosomal microarray strategy detected all CNVs of clear prognostic value and did not miss any CNVs of clear clinical significance. This strategy avoided both the problems associated with interpreting CNVs of uncertain prognosis and the parental anxiety that are a result of such findings.

Indexed as

Array CGHCMAPrenatalPrenatal testingSoftware targetingVUS

Identifiers

PMID24795849
PMCPMC4006225
OpenAlexW1975568611

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.