Evidence map›Paper›PMID 39429961›Full record

ArticleInternational journal of general medicine2024

Chromosomal Abnormalities Detected by Chromosomal Microarray Analysis and Karyotype in Fetuses with Ultrasound Abnormalities.

Liubing Lan, Dandan Luo, Jianwen Lian, Lingna She, Bosen Zhang, Hua Zhong, Huaxian Wang, Heming Wu

Abstract read
In one paragraph

Article in International journal of general medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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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

8 authors.

Liubing LanDepartment of Prenatal Diagnostic Center, Meizhou People's Hospital, Meizhou, People's Republic of China.
Dandan LuoDepartment of Prenatal Diagnostic Center, Meizhou People's Hospital, Meizhou, People's Republic of China.
Jianwen LianDepartment of Prenatal Diagnostic Center, Meizhou People's Hospital, Meizhou, People's Republic of China.
Lingna SheDepartment of Prenatal Diagnostic Center, Meizhou People's Hospital, Meizhou, People's Republic of China.
Bosen ZhangDepartment of Prenatal Diagnostic Center, Meizhou People's Hospital, Meizhou, People's Republic of China.
Hua ZhongDepartment of Prenatal Diagnostic Center, Meizhou People's Hospital, Meizhou, People's Republic of China.
Huaxian WangDepartment of Prenatal Diagnostic Center, Meizhou People's Hospital, Meizhou, People's Republic of China.
Heming WuDepartment of Prenatal Diagnostic Center, Meizhou People's Hospital, Meizhou, People's Republic of China.ORCID 0000-0002-1876-9585

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Chromosomal microarray analysis (CMA) is a first-line test to assess the genetic etiology of fetal ultrasound abnormalities. The aim of this study was to evaluate the effectiveness of CMA in detecting chromosomal abnormalities in fetuses with ultrasound abnormalities, including structural abnormalities and non-structural abnormalities. Methods: A retrospective study was conducted on 368 fetuses with abnormal ultrasound who received interventional prenatal diagnosis at Meizhou People's Hospital from October 2022 to December 2023. Samples of villi, amniotic fluid, and umbilical cord blood were collected according to different gestational weeks, and karyotype and CMA analyses were performed. The detection rate of chromosomal abnormalities in different ultrasonic abnormalities was analyzed. Results: There were 368 fetuses with abnormal ultrasound, including 114 (31.0%) with structural abnormalities, 225 (61.1%) with non-structural abnormalities, and 29 (7.9%) with structural combined with non-structural abnormalities. The detection rate of aneuploidy and pathogenic (P)/likely pathogenic (LP) copy number variations (CNVs) of CMA in fetuses with structural abnormalities was 5.26% (6/114), the detection rate of karyotype was 2.63% (3/114), and the additional diagnosis rate of CMA was 2.63%. In the fetuses with ultrasonic non-structural abnormalities, the detection rate of karyotype was 6.22% (14/225), the detection rate of aneuploidy and P/LP CNVs in fetuses with ultrasonic structural abnormalities was 9.33% (21/225), and the additional diagnosis rate of CMA was 3.11%. There was no significant difference in chromosome abnormality detection rate of CMA among structural abnormality, non-structural abnormality, and structural abnormality combined with non-structural abnormality groups (5.3%, 9.3%, and 13.8%, Conclusion: CMA can significantly improve the detection rate of genetic abnormalities in prenatal diagnosis of ultrasonic abnormal fetuses compared with karyotype analysis. CMA is a more effective tool than karyotyping alone in detecting chromosomal abnormalities in fetuses with ultrasound abnormalities.

Indexed as

abnormal ultrasound fetuschromosomal microarray analysiscopy number variationprenatal diagnosis

Identifiers

PMID39429961
PMCPMC11488349

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