Evidence map›Paper›PMID 40518536›Full record

ArticleJournal of translational medicine2025

The hidden causes of pregnancy loss: a closer look.

Panlai Shi, Conghui Wang, Hongbin Liang, XiaoFan Zhu, Xinyan Wang, Yanting Ning, Don Leigh, David S Cram, Xiangdong Kong

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Panlai Shi *Genetic and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Conghui Wang *Genetic and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Hongbin LiangGenetics and Precision Medicine Center, First People's Hospital of Kunming, Beijing Road 1228, Panlong, Kunming, China.
XiaoFan ZhuGenetic and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xinyan WangDepartment of Obstetrics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yanting NingDepartment of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Don LeighGenetics and Precision Medicine Center, First People's Hospital of Kunming, Beijing Road 1228, Panlong, Kunming, China.
David S CramGenetics and Precision Medicine Center, First People's Hospital of Kunming, Beijing Road 1228, Panlong, Kunming, China. ngshk@outlook.com.
Xiangdong KongGenetic and Prenatal Diagnosis Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. kongxd@263.net.ORCID 0000-0003-0030-7638

Funding

2024 Medical Science and Technology Research Plan of Henan Province SBGJ202403024National Key R&D Program of China 2018YFC1002203
6 · The paper itself

Abstract

backgroundUnexpected pregnancy loss can be a traumatic experience for fertile couples. The aim of the study was to assess the nature and type of chromosomal variants involved in early and late pregnancy loss and provide couples an explanation on the cause of their pregnancy loss.

methodsInvestigations were conducted on 2928 pregnancy loss cases where products of conception (POC) samples could be retrieved for genetic analysis. Chromosomal variants were detected by low pass copy number variation sequencing (CNV-seq).

resultsIn first-trimester miscarriages, 1272 of POC (60.4%) samples had a chromosome abnormality. Autosomal aneuploidy and monosomy X were the predominate variants (73.2%), followed by autosomal and sex chromosome mosaicism (10.7%), triploidy (9.6%), pathogenic CNVs (6.2%) and haploidy (0.3%). The chromosomal variants were similar in type and frequency regardless of whether the fetus had normal or abnormal ultrasound findings. In second trimester pregnancy loss where there was either a structural or non-structural ultrasound anomaly, only 15.3% of POC samples had a chromosome abnormality, involving mainly the smaller autosomes and monosomy X (55.7%), autosomal and sex chromosomal mosaicism (11.5%), triploidy (4.1%) and pathogenic CNVs (28.7%).

conclusionChromosomal variants contribute to fetal demise in almost two thirds of pregnancy losses.

Indexed as

Abortion, SpontaneousAdultAneuploidyChromosome AberrationsDNA Copy Number VariationsFemaleHumansMosaicismPregnancyCopy number sequencingFetal demiseGenetic variantsPregnancy lossWhole exome sequencing

Identifiers

PMID40518536
PMCPMC12168345

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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.