Evidence map›Paper›PMID 28472932›Full record

Trial reportBMC pediatrics2017

Chromosome microarray analysis in the investigation of children with congenital heart disease.

Xiao-Li Wu, Ru Li, Fang Fu, Min Pan, Jin Han, Xin Yang, Yong-Ling Zhang, Fa-Tao Li, Can Liao

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in BMC pediatrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

27 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
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  4. Genomic testing and molecular diagnosis among infants with congenital heart disease in the neonatal intensive care unit.Journal of perinatology : official journal of the California Perinatal Association · 2024
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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

9 authors at 1 institution in 1 country.

Xiao-Li WuPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, No. 9 Jinsui Road, Guangdong, China.
Ru LiPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, No. 9 Jinsui Road, Guangdong, China.
Fang FuPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, No. 9 Jinsui Road, Guangdong, China.
Min PanPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, No. 9 Jinsui Road, Guangdong, China.
Jin HanPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, No. 9 Jinsui Road, Guangdong, China.
Xin YangPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, No. 9 Jinsui Road, Guangdong, China.
Yong-Ling ZhangPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, No. 9 Jinsui Road, Guangdong, China.
Fa-Tao LiPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, No. 9 Jinsui Road, Guangdong, China.
Can LiaoPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, No. 9 Jinsui Road, Guangdong, China. canliao@hotmail.com.
Guangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur study was aimed to explore the clinical implication of chromosome microarray analysis (CMA) in genetically etiological diagnosis of children with congenital heart disease (CHD).

methodsA total of 104 children with CHD with or without multiple congenital anomalies (MCA) or intellectual disabilities/developmental delay (ID/DD) but normal karyotype were investigated using Affymetrix CytoScan HD array.

resultPathogenic copy number variations (PCNVs) were identified in 29 children (27.9%). The detection rates in children with simple CHD and complex CHD were 31.1% (19/61) and 23.2% (10/43), respectively. The detection rates of PCNVs were 17.9% (7/39), 20% (5/25), 63.2% (12/19) and 23.8% (5/21) in isolated CHD, CHD plus MCA, CHD plus ID/DD, CHD plus MCA and ID/DD, respectively. The PCNVs rate of CHD plus ID/DD was significantly higher than that of isolated CHD. Two genomic loci including 15q11.2 deletion and 1q43-q44 deletion were considered as CHD locus. The DVL1, SKI, STIM1, CTNNA3 and PLN were identified as candidate genes associated with CHD phenotypes.

conclusionCMA can increase the diagnostic rate and improve the etiological diagnosis in children with CHD. We suggest CMA as a first-tier test in children with CHD, especially in children with CHD plus ID/DD.

Indexed as

ChromosomesChildChild, PreschoolChinaChromosome DeletionChromosome DuplicationCohort StudiesDNA Copy Number VariationsFemaleGenetic MarkersGenetic TestingHeart Defects, CongenitalHumansInfantInfant, NewbornMaleGenetic Markers15q11.2 deletion1q43-q44 deletionChromosome microarray analysisCongenital heart diseaseCopy number variationMicrodeletion/microduplication

Identifiers

PMID28472932
PMCPMC5418813
OpenAlexW2610413775

What OpenQuestion holds

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LicenceCC BY
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.