Evidence map›Paper›PMID 41062999›Full record

ArticleBMC pregnancy and childbirth2025

The relationship between fetal tissue chromosomal karyotype and clinical characteristics in patients with spontaneous abortion: a retrospective study.

Lin Liu, Yanting Yang, Huyan Huo, Ning Hu, Fang Wang

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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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
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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

5 authors.

Lin LiuThe Second Clinical Medical College of Lanzhou University, Lanzhou, 730000, China.
Yanting YangThe Second Clinical Medical College of Lanzhou University, Lanzhou, 730000, China.
Huyan HuoThe Second Clinical Medical College of Lanzhou University, Lanzhou, 730000, China.
Ning HuThe Second Clinical Medical College of Lanzhou University, Lanzhou, 730000, China.
Fang WangThe Second Clinical Medical College of Lanzhou University, Lanzhou, 730000, China. ery_fwang@lzu.edu.cn.

Funding

Lanzhou University lzuyxcx-2022-147Lanzhou University Second Hospital,China YJS-BD-19
6 · The paper itself

Abstract

backgroundAbnormal fetal tissue chromosome karyotypes are one of the important pathogenic factors for spontaneous abortion (SA). To analyze the characteristics of fetal tissue chromosomal karyotype in 778 women with a history of SA and its relationship with clinical features.

methodsA retrospective study collected maternal age, body mass index (BMI), gestational weeks at miscarriage, the number of previous pregnancy losses and fetal tissue karyotypes CNV-seq data of 778 SA couples from Lanzhou University Second Hospital from October 2019 to December 2023, and described the characteristics of fetal tissue chromosomal karyotype and its relationship with clinical features.

resultsIn our study, 432 patients (55.53% of total) had abnormal fetal tissue chromosomal karyotypes, with the highest incidence being trisomy syndrome (46.99%, 203/432). Advanced maternal age (> 35 years), early pregnancy (< 12 weeks), and a history of less than four previous pregnancy losses were all identified as risk factors for fetal tissue chromosomal abnormalities.

conclusionThe results of this study indicate that fetal tissue chromosomal abnormalities are the primary factor leading to SA. Additionally, advanced maternal age (> 35years), early pregnancy (< 12 weeks), and the fewer number of previous pregnancy losses (≤ 4 times) are associated with a higher risk of fetal tissue chromosomal abnormalities following miscarriage.

Indexed as

Abortion, SpontaneousChromosome AberrationsFetusAbnormal KaryotypeAdultFemaleGestational AgeHumansKaryotypeKaryotypingMaternal AgePregnancyRetrospective StudiesRisk FactorsAdvanced maternal ageCNV-seqFetal chromosome karyotypesSpontaneous abortion

Identifiers

PMID41062999
PMCPMC12506309

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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.