Evidence map›Paper›PMID 23211699›Full record

ArticleEuropean journal of human genetics : EJHG2013

Chromosomal microarray analysis as a first-line test in pregnancies with a priori low risk for the detection of submicroscopic chromosomal abnormalities.

Francesco Fiorentino, Stefania Napoletano, Fiorina Caiazzo, Mariateresa Sessa, Sara Bono, Letizia Spizzichino, Anthony Gordon, Andrea Nuccitelli, Giuseppe Rizzo, Marina Baldi

Open access · bronzeAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
12.8field-weighted citation impact, top 1% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 88 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Utility of noninvasive genome-wide screening: a prospective cohort of obstetric patients undergoing diagnostic testing.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Chromosomal microarray vs. NIPS: analysis of 5541 low-risk pregnancies.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  19. Article
  20. Article
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

10 authors.

Francesco FiorentinoGENOMA- Molecular Genetics Laboratory, Rome, Italy. fiorentino@laboratoriogenoma.it
Stefania Napoletano
Fiorina Caiazzo
Mariateresa Sessa
Sara Bono
Letizia Spizzichino
Anthony Gordon
Andrea Nuccitelli
Giuseppe Rizzo
Marina Baldi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we aimed to explore the utility of chromosomal microarray analysis (CMA) in groups of pregnancies with a priori low risk for detection of submicroscopic chromosome abnormalities, usually not considered an indication for testing, in order to assess whether CMA improves the detection rate of prenatal chromosomal aberrations. A total of 3000 prenatal samples were processed in parallel using both whole-genome CMA and conventional karyotyping. The indications for prenatal testing included: advanced maternal age, maternal serum screening test abnormality, abnormal ultrasound findings, known abnormal fetal karyotype, parental anxiety, family history of a genetic condition and cell culture failure. The use of CMA resulted in an increased detection rate regardless of the indication for analysis. This was evident in high risk groups (abnormal ultrasound findings and abnormal fetal karyotype), in which the percentage of detection was 5.8% (7/120), and also in low risk groups, such as advanced maternal age (6/1118, 0.5%), and parental anxiety (11/1674, 0.7%). A total of 24 (0.8%) fetal conditions would have remained undiagnosed if only a standard karyotype had been performed. Importantly, 17 (0.6%) of such findings would have otherwise been overlooked if CMA was offered only to high risk pregnancies.The results of this study suggest that more widespread CMA testing of fetuses would result in a higher detection of clinically relevant chromosome abnormalities, even in low risk pregnancies. Our findings provide substantial evidence for the introduction of CMA as a first-line diagnostic test for all pregnant women undergoing invasive prenatal testing, regardless of risk factors.

Indexed as

Chromosome AberrationsAbnormal KaryotypeChromosome DisordersFemaleGenetic TestingHumansMaternal AgeMicroarray AnalysisPregnancyPrenatal DiagnosisUltrasonography, Prenatal

Identifiers

PMID23211699
PMCPMC3722951
OpenAlexW1983118329

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.