Evidence map›Paper›PMID 29611406›Full record

ArticleYonsei medical journal2018

Phenotypic Analysis of Korean Patients with Abnormal Chromosomal Microarray in Patients with Unexplained Developmental Delay/Intellectual Disability.

Hyo Jeong Kim, Chang Il Park, Jae Woo Lim, Gyung Min Lee, Eunhae Cho, Hyon J Kim

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Article in Yonsei medical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

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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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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

6 authors.

Hyo Jeong KimDepartment of Pediatrics, Gachon University Gil Medical Center, Incheon, Korea.ORCID https://orcid.org/0000-0003-2191-5341
Chang Il ParkDepartment of Rehabilitation Medicine, Konyang University College of Medicine, Daejeon, Korea.
Jae Woo LimDepartment of Pediatrics, Konyang University College of Medicine, Daejeon, Korea.
Gyung Min LeeDepartment of Pediatrics, Konyang University College of Medicine, Daejeon, Korea.
Eunhae ChoGreen Cross Genome, Yongin, Korea.
Hyon J KimDepartment of Medical Genetics, Konyang University College of Medicine, Daejeon, Korea. raredisease@hanmail.net.ORCID https://orcid.org/0000-0002-2945-8731

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe present study aimed to investigate chromosomal microarray (CMA) and clinical data in patients with unexplained developmental delay/intellectual disability (DD/ID) accompanying dysmorphism, congenital anomalies, or epilepsy. We also aimed to evaluate phenotypic clues in patients with pathogenic copy number variants (CNVs). MATERIALS AND

methodsWe collected clinical and CMA data from patients at Konyang University Hospital between September 2013 and October 2014. We included patients who had taken the CMA test to evaluate the etiology of unexplained DD/ID.

resultsAll of the 50 patients identified had DD/ID. Thirty-nine patients had dysmorphism, 19 patients suffered from epilepsy, and 12 patients had congenital anomalies. Twenty-nine of the 50 patients (58%) showed abnormal results. Eighteen (36%) were considered to have pathogenic CNVs. Dysmorphism (p=0.028) was significantly higher in patients with pathogenic CNVs than in those with normal CMA. Two or more clinical features were presented by 61.9% (13/21) of the patients with normal CMA and by 83.3% (15/18) of the patients with pathogenic CMA.

conclusionDysmorphism can be a phenotypic clue to pathogenic CNVs. Furthermore, pathogenic CNV might be more frequently found if patients have two or more clinical features in addition to DD/ID.

Indexed as

Chromosome AberrationsDNA Copy Number VariationsMicroarray AnalysisAdolescentChildChild, PreschoolDevelopmental DisabilitiesFemaleHumansInfantInfant, NewbornIntellectual DisabilityMalePhenotypeRepublic of KoreaYoung AdultChromosomal microarraydevelopmental delaydysmorphismintellectual disability

Identifiers

PMID29611406
PMCPMC5889996

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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.