Evidence map›Paper›PMID 39175064›Full record

ArticleOrphanet journal of rare diseases2024

Prenatal chromosomal microarray analysis in a large Chinese cohort of fetuses with congenital heart defects: a single center study.

Qing Lu, Laipeng Luo, Baitao Zeng, Haiyan Luo, Xianjin Wang, Lijuan Qiu, Yan Yang, Chuanxin Feng, Jihui Zhou, Yanling Hu and 9 more

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 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

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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
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

19 authors.

Qing Lu *Medical Genetic Center, Jiangxi Maternal and Child Health Hospital, No. 318, Bayi Avenue, Nanchang, China.
Laipeng Luo *Medical Genetic Center, Jiangxi Maternal and Child Health Hospital, No. 318, Bayi Avenue, Nanchang, China.
Baitao ZengMedical Genetic Center, Jiangxi Maternal and Child Health Hospital, No. 318, Bayi Avenue, Nanchang, China.
Haiyan LuoMedical Genetic Center, Jiangxi Maternal and Child Health Hospital, No. 318, Bayi Avenue, Nanchang, China.
Xianjin WangDepartment of Ultrasound, Jiangxi Maternal and Child Health Hospital, No. 318, Bayi Avenue, Nanchang, China.
Lijuan QiuDepartment of Ultrasound, Jiangxi Maternal and Child Health Hospital, No. 318, Bayi Avenue, Nanchang, China.
Yan YangMedical Genetic Center, Jiangxi Maternal and Child Health Hospital, No. 318, Bayi Avenue, Nanchang, China.
Chuanxin FengMedical Genetic Center, Jiangxi Maternal and Child Health Hospital, No. 318, Bayi Avenue, Nanchang, China.
Jihui ZhouMedical Genetic Center, Jiangxi Maternal and Child Health Hospital, No. 318, Bayi Avenue, Nanchang, China.
Yanling HuMedical Genetic Center, Jiangxi Maternal and Child Health Hospital, No. 318, Bayi Avenue, Nanchang, China.
Tingting HuangMedical Genetic Center, Jiangxi Maternal and Child Health Hospital, No. 318, Bayi Avenue, Nanchang, China.
Pengpeng MaMedical Genetic Center, Jiangxi Maternal and Child Health Hospital, No. 318, Bayi Avenue, Nanchang, China.
Ting HuangMedical Genetic Center, Jiangxi Maternal and Child Health Hospital, No. 318, Bayi Avenue, Nanchang, China.
Kang XieMedical Genetic Center, Jiangxi Maternal and Child Health Hospital, No. 318, Bayi Avenue, Nanchang, China.
Huizhen YuanMedical Genetic Center, Jiangxi Maternal and Child Health Hospital, No. 318, Bayi Avenue, Nanchang, China.
Shuhui HuangMedical Genetic Center, Jiangxi Maternal and Child Health Hospital, No. 318, Bayi Avenue, Nanchang, China.
Bicheng YangMedical Genetic Center, Jiangxi Maternal and Child Health Hospital, No. 318, Bayi Avenue, Nanchang, China. yangbc1985@126.com.
Yongyi ZouMedical Genetic Center, Jiangxi Maternal and Child Health Hospital, No. 318, Bayi Avenue, Nanchang, China. zouyongyi@gmail.com.ORCID 0000-0001-5869-7988
Yanqiu LiuMedical Genetic Center, Jiangxi Maternal and Child Health Hospital, No. 318, Bayi Avenue, Nanchang, China. lyq0914@126.com.

Funding

Jiangxi Province Key Research and Development Project 20232BBG70023Jiangxi Provincial Clinical Research Center for Birth Defects 20223BCG74002Jiangxi Provincial Key Laboratory of Birth Defect for Prevention and Control 2024SSY06201Provincial Health Commission Program of Jiangxi 202210062Provincial Health Commission Program of Jiangxi 202410428
6 · The paper itself

Abstract

BACKGROUND AND

objectivesCongenital heart defect (CHD) is one of the most common birth defects. The aim of this cohort study was to evaluate the prevalence of chromosomal abnormalities and the clinical utility of chromosomal microarray analysis (CMA) in fetuses with different types of CHD, aiming to assist genetic counseling and clinical decision-making.

methodsIn this study, 642 fetuses with CHD were enrolled from a single center over a six-year period (2017-2022). Both conventional karyotyping and CMA were performed simultaneously on these fetuses.

resultsThe diagnostic yield of CMA in fetuses with CHD in our study was 15.3% (98/642). Our findings revealed a significant increase in the diagnostic yield of CMA compared to karyotyping in fetuses with CHD. Among CHD subgroups, the diagnostic yields were high in complex CHD (34.9%), conotruncal defects (28.6%), right ventricular outflow tract obstructive defects (RVOTO) (25.9%), atrioventricular septal defects (AVSD) (25.0%) and left ventricular outflow tract obstructive defects (LVOTO) (24.1%), while those in other CHD (10.6%) and septal defects (10.9%) were relatively low. The overall detection rate of clinically significant chromosomal abnormalities was significantly higher in the non-isolated CHD group compared to the isolated CHD group (33.1% vs. 9.9%, P < 0.0001). Interestingly, numerical chromosomal abnormalities were more likely to occur in the non-isolated CHD group than in the isolated CHD group (20.3% vs. 2.0%, P < 0.0001). The rate of termination of pregnancy (TOP)/Still birth in the non-isolated CHD group was significantly higher than that in the isolated CHD group (40.5% vs. 20.6%, P < 0.0001). Compared to the isolated CHD group, the detection rate of clinically significant chromosomal abnormalities was significantly higher in the group of CHD with soft markers (35.6% vs. 9.9%, P < 0.0001) and in the group of CHD with additional structural anomalies (36.1% vs. 9.9%, P < 0.0001).

conclusionsCMA is a reliable and high-resolution technique that should be recommended as the front-line test for prenatal diagnosis of fetuses with CHD. The prevalence of chromosomal abnormalities varies greatly among different subgroups of CHD, and special attention should be given to prenatal non-isolated cases of CHD, especially those accompanied by additional structural anomalies or soft markers.

Indexed as

Heart Defects, CongenitalMicroarray AnalysisPrenatal DiagnosisAdultChinaChromosome AberrationsCohort StudiesEast Asian PeopleFemaleFetusHumansKaryotypingPregnancyChromosomal abnormalitiesChromosomal microarray analysisCongenital heart defectsCopy number variationsPrenatal diagnosis

Identifiers

PMID39175064
PMCPMC11342572

What OpenQuestion holds

Textmetadata
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.