Evidence map›Paper›PMID 24505343›Full record

Trial reportPloS one2014

Whole-genome array CGH evaluation for replacing prenatal karyotyping in Hong Kong.

Anita S Y Kan, Elizabeth T Lau, W F Tang, Sario S Y Chan, Simon C K Ding, Kelvin Y K Chan, C P Lee, Pui Wah Hui, Brian H Y Chung, K Y Leung and 3 more

Registry-linked trialOpen access · goldAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03955588 (Demonstration Trial on Replacement of Cytogenetics by Array Comparative Genomic Hybridisation), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
10.6field-weighted citation impact, top 2% 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.

NCT03955588 completednot on this map

Demonstration Trial on Replacement of Cytogenetics by Array Comparative Genomic Hybridisation (aCGH) in Prenatal Diagnosis

TypeobservationalSponsorThe University of Hong KongRan2014 to 2016Enrolled51ConditionsPrenatal DiagnosisArmsaCGH
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Prenatal Diagnosis by Chromosome Microarray Analysis, An Indian Experience.Journal of obstetrics and gynaecology of India · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. NPJ genomic medicine · 2016
    Article
  14. 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

13 authors at 4 institutions in 2 countries.

Anita S Y KanDepartment of Obstetrics and Gynaecology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China ; Department of Obstetrics and Gynaecology, Queen Mary Hospital, Hong Kong Special Administrative Region, China.
Elizabeth T LauDepartment of Obstetrics and Gynaecology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China ; Department of Obstetrics and Gynaecology, Queen Mary Hospital, Hong Kong Special Administrative Region, China.
W F TangDepartment of Obstetrics and Gynaecology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
Sario S Y ChanDepartment of Obstetrics and Gynaecology, Queen Mary Hospital, Hong Kong Special Administrative Region, China.
Simon C K DingDepartment of Obstetrics and Gynaecology, Queen Mary Hospital, Hong Kong Special Administrative Region, China.
Kelvin Y K ChanDepartment of Obstetrics and Gynaecology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China ; Department of Obstetrics and Gynaecology, Queen Mary Hospital, Hong Kong Special Administrative Region, China.
C P LeeDepartment of Obstetrics and Gynaecology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China ; Department of Obstetrics and Gynaecology, Queen Mary Hospital, Hong Kong Special Administrative Region, China.
Pui Wah HuiDepartment of Obstetrics and Gynaecology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China ; Department of Obstetrics and Gynaecology, Queen Mary Hospital, Hong Kong Special Administrative Region, China.
Brian H Y ChungDepartment of Obstetrics and Gynaecology, Queen Mary Hospital, Hong Kong Special Administrative Region, China ; Department of Paediatrics and Adolescent Medicine, Queen Mary Hospital, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
K Y LeungDepartment of Obstetrics and Gynaecology, Queen Elizabeth Hospital, Hong Kong Special Administrative Region, China.
Teresa MaDepartment of Obstetrics and Gynaecology, Queen Elizabeth Hospital, Hong Kong Special Administrative Region, China.
Wing C LeungDepartment of Obstetrics and Gynaecology, Kwong Wah Hospital, Hong Kong Special Administrative Region, China.
Mary H Y TangDepartment of Obstetrics and Gynaecology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China ; Department of Obstetrics and Gynaecology, Queen Mary Hospital, Hong Kong Special Administrative Region, China.
University of Hong Kong · HKQueen Mary Hospital · CNQueen Elizabeth Hospital · CNKwong Wah Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the effectiveness of whole-genome array comparative genomic hybridization (aCGH) in prenatal diagnosis in Hong Kong.

methodsArray CGH was performed on 220 samples recruited prospectively as the first-tier test study. In addition 150 prenatal samples with abnormal fetal ultrasound findings found to have normal karyotypes were analyzed as a 'further-test' study using NimbleGen CGX-135K oligonucleotide arrays.

resultsArray CGH findings were concordant with conventional cytogenetic results with the exception of one case of triploidy. It was found in the first-tier test study that aCGH detected 20% (44/220) clinically significant copy number variants (CNV), of which 21 were common aneuploidies and 23 had other chromosomal imbalances. There were 3.2% (7/220) samples with CNVs detected by aCGH but not by conventional cytogenetics. In the 'further-test' study, the additional diagnostic yield of detecting chromosome imbalance was 6% (9/150). The overall detection for CNVs of unclear clinical significance was 2.7% (10/370) with 0.9% found to be de novo. Eleven loci of common CNVs were found in the local population.

conclusionWhole-genome aCGH offered a higher resolution diagnostic capacity than conventional karyotyping for prenatal diagnosis either as a first-tier test or as a 'further-test' for pregnancies with fetal ultrasound anomalies. We propose replacing conventional cytogenetics with aCGH for all pregnancies undergoing invasive diagnostic procedures after excluding common aneuploidies and triploidies by quantitative fluorescent PCR. Conventional cytogenetics can be reserved for visualization of clinically significant CNVs.

Indexed as

Abnormal KaryotypeGenetic Diseases, InbornComparative Genomic HybridizationFemaleGenome-Wide Association StudyHumansKaryotypingMalePrenatal Diagnosis

Identifiers

PMID24505343
PMCPMC3914896
OpenAlexW2045511088

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.