Evidence map›Paper›PMID 30519285›Full record

ArticleMolecular cytogenetics2018

Chromosomal abnormalities and copy number variations in fetal ventricular septal defects.

Meiying Cai, Hailong Huang, Linjuan Su, Na Lin, Xiaoqing Wu, Xiaorui Xie, Gang An, Ying Li, Yuan Lin, Liangpu Xu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Molecular cytogenetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

12 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

11 authors at 1 institution in 1 country.

Meiying CaiDepartment of the Prenatal Diagnosis Center, Fujian Provincial Maternity and Children's Hospital, affiliated hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China.
Hailong HuangDepartment of the Prenatal Diagnosis Center, Fujian Provincial Maternity and Children's Hospital, affiliated hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China.
Linjuan SuDepartment of the Prenatal Diagnosis Center, Fujian Provincial Maternity and Children's Hospital, affiliated hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China.
Na LinDepartment of the Prenatal Diagnosis Center, Fujian Provincial Maternity and Children's Hospital, affiliated hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China.
Xiaoqing WuDepartment of the Prenatal Diagnosis Center, Fujian Provincial Maternity and Children's Hospital, affiliated hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China.
Xiaorui XieDepartment of the Prenatal Diagnosis Center, Fujian Provincial Maternity and Children's Hospital, affiliated hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China.
Gang AnDepartment of the Prenatal Diagnosis Center, Fujian Provincial Maternity and Children's Hospital, affiliated hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China.
Ying LiDepartment of the Prenatal Diagnosis Center, Fujian Provincial Maternity and Children's Hospital, affiliated hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China.
Yuan LinDepartment of the Prenatal Diagnosis Center, Fujian Provincial Maternity and Children's Hospital, affiliated hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China.
Liangpu XuDepartment of the Prenatal Diagnosis Center, Fujian Provincial Maternity and Children's Hospital, affiliated hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China.
Hua CaoDepartment of the Prenatal Diagnosis Center, Fujian Provincial Maternity and Children's Hospital, affiliated hospital of Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China.
Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to evaluate the applicability of chromosomal microarray analysis (CMA), rather than traditional chromosome analysis, in prenatal diagnosis of ventricular septal defects (VSDs) for superior prenatal genetic counseling and to reveal a potential correlation between submicroscopic chromosomal aberrations and VSDs.

resultsAmong the 151 VSD cases, 79 (52.3%) had isolated defects and 72 (47.7%) had additional ultrasound anomalies. Karyotype analysis identified 16 chromosomal abnormalities. Besides the 14 cases of chromosome abnormalities consistent with karyotype analysis, CMA identified an additional 20 cases (13.2%) of abnormal copy number variations (CNVs), of which 13 were pathogenetic CNVs, 5 were variations of uncertain clinical significance (VOUS) and 2 were benign CNVs. The detection rate of pathogenic CNVs in non-isolated-VSDs was significantly higher than that in isolated-VSDs (36.1% (26/72) vs. 1.3% (1/79),

conclusionsThis study showed that CMA combined with cytogenetic analysis is particularly effective in identifying CNVs in fetuses with VSDs and can have an effect on obstetrical outcomes. The elucidation of the etiology of VSDs suggested that gene mutations or other factors may be implicated.

Indexed as

Chromosomal abnormalityChromosomal microarray analysisPrenatal diagnosisVentricular septal defects

Identifiers

PMID30519285
PMCPMC6264052
OpenAlexW2902651681

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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.