Evidence map›Paper›PMID 36285155›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

A Three-Year Prospective Study Assessing the Application of Chromosomal Microarray Analysis in 576 High-Risk Pregnant Women.

Minmin Jiang, Shengwen Huang, Xingwei Ma, Ping Xie, Lingyan Ren, Qian Jin, Keyan Linghu

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 35% of its field
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Minmin JiangPrenatal Diagnosis Center, Guizhou Provincial People's Hospital, Guiyang 550004, China.ORCID https://orcid.org/0000-0001-8369-1414
Shengwen HuangPrenatal Diagnosis Center, Guizhou Provincial People's Hospital, Guiyang 550004, China.
Xingwei MaPrenatal Diagnosis Center, Guizhou Provincial People's Hospital, Guiyang 550004, China.
Ping XieDepartment of Ultrasonography, Guizhou Provincial People's Hospital, Guiyang 550004, China.
Lingyan RenPrenatal Diagnosis Center, Guizhou Provincial People's Hospital, Guiyang 550004, China.
Qian JinPrenatal Diagnosis Center, Guizhou Provincial People's Hospital, Guiyang 550004, China.
Keyan LinghuPrenatal Diagnosis Center, Guizhou Provincial People's Hospital, Guiyang 550004, China.
Guizhou Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The use of chromosomal microarray analysis (CMA) in prenatal diagnosis of chromosomal and genetic diseases has resulted in a significant improvement in the diagnosis of genetically caused congenital malformations, neurodevelopmental disorders, and congenital anomalies, with a high diagnostic yield in selected prenatal cases. Objective: The objective of this study was to evaluate the application of CMA in the prenatal diagnosis of high-risk pregnant women. Method: A total of 576 pregnancies were selected from May 2018 to October 2020 in our hospital, including amniotic fluid chromosome, karyotype analysis, and CMA detection. The study group was divided into two groups based on the indications for testing: group A has 88 patients at the age of 35 years or older, and group B patients were in high-risk pregnancies, which consisted of 33 cases of bad pregnancy history, 252 high-risk serological screenings, 70 high-risk non-invasive prenatal testing (NIPT), 65 cases of B-ultrasound indicated fetal development abnormalities or ultrasonic soft marker abnormalities, and 68 other cases of pregnant women or both who have genetic or chromosomal abnormalities. At last, we have an analysis of the detection rate from different testing methods. Results: Based on the follow-up test, 576 high-risk pregnant women showed an amniotic fluid chromosome karyotype rate of 18.1% (104/576), and the remaining 472 of these cases suffered a CNV ratio of 14.2% (67/472). 472 women of low clinical relevance are at 4.87% (23/472), 16 people showed a clear cause ratio = 3.39% (16/472), and 28 of the 472 (5.93%) cases showed polymorphism. Conclusions: In our study, CMA significantly improved the fetal detection rate and diagnosis rate in high-risk pregnant women, which proved to be a very useful method in the diagnosis of genetically caused neurodevelopmental disorders and congenital anomalies. The use of CMA in high-risk pregnant women is justified, and these women can detect an additional (3.40%, 16/472) of pathogenic microdeletions and microduplications in the cases.

Identifiers

PMID36285155
PMCPMC9588346
OpenAlexW4306310388

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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.