ArticleInternational journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics2026
Clinical utility of chromosomal microarray analysis in prenatal diagnosis of fetuses with ultrasound soft markers: A retrospective single-center comparative study with karyotyping.
Article in International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Complementary Diagnostic Roles of Non-Invasive Prenatal Testing, Chromosomal Microarray Analysis, and Karyotyping in 14,011 High-Risk Pregnancies: A Retrospective Cohort Study with Combined Analyses.Journal of clinical medicine · 2026Article
- Clinical utility of chromosomal microarray analysis in prenatal diagnosis of fetuses with ultrasound soft markers: A retrospective single-center comparative study with karyotyping.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
objectiveCardiac soft markers are subtle mid-trimester sonographic findings that may indicate an increased risk of chromosomal abnormalities. While conventional karyotyping remains the standard for detecting aneuploidies and balanced rearrangements, chromosomal microarray analysis (CMA) offers higher resolution for submicroscopic copy number variations (CNVs). However, the incremental diagnostic value of CMA in fetuses with cardiac soft markers, particularly in Chinese populations, remains underexplored. This study aimed to compare the diagnostic yield of CMA and karyotyping in fetuses with cardiac soft markers and evaluate the association between marker type and CMA outcomes.
methodsWe conducted a retrospective analysis of 42 singleton pregnancies (gestational age: 18
resultsCMA identified pathogenic or likely pathogenic (P/LP) copy number variations (CNVs) in 4.8% (2/42) of cases, specifically two 17q12 deletions. Additionally, variants of uncertain significance (VOUS) were found in 19.0% (8/42). In contrast, karyotyping detected chromosomal abnormalities of potential clinical significance in 2.4% (1/42, a de novo translocation t (3;19) (p14;q12)), with the remaining two findings (a common inversion polymorphism and likely maternal cell contamination) considered unlikely to be of clinical relevance to the fetus.
conclusionCMA detected pathogenic CNVs that were missed by karyotyping, demonstrating its incremental value. However, karyotyping remains essential for identifying balanced chromosomal rearrangements. Our findings support the complementary use of CMA and karyotyping in prenatal diagnosis of fetuses with ≥2 cardiac soft markers, although larger prospective studies are warranted to validate these observations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.