Evidence map›Paper›PMID 37916154›Full record

ArticleFrontiers in endocrinology2023

Analysis of copy number variations and possible candidate genes in spontaneous abortion by copy number variation sequencing.

Wei Bai, Qi Zhang, Zhi Lin, Jin Ye, Xiaoqi Shen, Linshuang Zhou, Wenpin Cai

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
7.5field-weighted citation impact, top 3% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Copy number variations in spontaneous abortions: a meta-analysis.Journal of assisted reproduction and genetics · 2025
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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

7 authors at 3 institutions in 1 country.

Wei BaiDepartment of Laboratory Medicine, Wenzhou Traditional Chinese Medicine Hospital of Zhejiang Chinese Medical University, Zhejiang, China.
Qi ZhangKey Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Dian Diagnostics Group Co., Ltd., Hangzhou, China.
Zhi LinDepartment of Laboratory Medicine, Wenzhou Traditional Chinese Medicine Hospital of Zhejiang Chinese Medical University, Zhejiang, China.
Jin YeDepartment of Laboratory Medicine, Wenzhou Traditional Chinese Medicine Hospital of Zhejiang Chinese Medical University, Zhejiang, China.
Xiaoqi ShenKey Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Dian Diagnostics Group Co., Ltd., Hangzhou, China.
Linshuang ZhouDepartment of Laboratory Medicine, Wenzhou Traditional Chinese Medicine Hospital of Zhejiang Chinese Medical University, Zhejiang, China.
Wenpin CaiDepartment of Laboratory Medicine, Wenzhou Traditional Chinese Medicine Hospital of Zhejiang Chinese Medical University, Zhejiang, China.
Wenzhou Hospital of Traditional Chinese Medicine · CNDian Diagnostics (China) · CNZhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Embryonic chromosomal abnormalities represent a major causative factor in early pregnancy loss, highlighting the importance of understanding their role in spontaneous abortion. This study investigates the potential correlation between chromosomal abnormalities and spontaneous abortion using copy number variation sequencing (CNV-seq), a Next-Generation Sequencing (NGS) technology. Methods: We analyzed Copy Number Variations (CNVs) in 395 aborted fetal specimens from spontaneous abortion patients by CNV-seq. And collected correlated data, including maternal age, gestational week, and Body Mass Index (BMI), and analyzed their relationship with the CNVs. Results: Out of the 395 cases, 67.09% of the fetuses had chromosomal abnormalities, including numerical abnormalities, structural abnormalities, and mosaicisms. Maternal age was found to be an important risk factor for fetal chromosomal abnormalities, with the proportion of autosomal trisomy in abnormal karyotypes increasing with maternal age, while polyploidy decreased. The proportion of abnormal karyotypes with mosaic decreased as gestational age increased, while the frequency of polyploidy and sex chromosome monosomy increased. Gene enrichment analysis identified potential miscarriage candidate genes and functions, as well as pathogenic genes and pathways associated with unexplained miscarriage among women aged below or over 35 years old. Based on our study, it can be inferred that there is an association between BMI values and the risk of recurrent miscarriage caused by chromosomal abnormalities. Discussion: Overall, these findings provide important insights into the understanding of spontaneous abortion and have implications for the development of personalized interventions for patients with abnormal karyotypes.

Indexed as

Abortion, HabitualDNA Copy Number VariationsAbnormal KaryotypeAdultFemaleHumansKaryotypingMosaicismPolyploidyPregnancybody mass index (BMI)copy number variationcopy number variation sequencing (CNV-seq)gestational agematernal agemiscarriage

Identifiers

PMID37916154
PMCPMC10616874
OpenAlexW4387696124

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.