ReviewCureus2025
Bibliometric Analysis of Publications on Prenatal Genetic Screening Using Cell-Free DNA.
Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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, 1 synthesis or guideline pooled it.
- AI-guided meta-analysis of non-invasive prenatal testing platforms for trisomy 21 screening: comparative evaluation of cffDNA and fetal cell-based approaches.BMC pregnancy and childbirth · 2026Pooled it
- A Global Bibliometric Analysis of Publications on Recurrent Atrial Fibrillation After Radiofrequency Ablation.Cureus · 2025Review
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
No grant is acknowledged in the PubMed record.
Abstract
Prenatal genetic testing plays a vital role in the early detection of fetal chromosomal abnormalities, with cell-free DNA (cfDNA) testing emerging as a highly accurate noninvasive screening method. By analyzing fetal DNA fragments in maternal plasma, cfDNA-based tests have significantly improved the detection of conditions such as trisomies. Bibliometric analysis is a quantitative research method used to evaluate publication trends, citation patterns, and research impact within a specific scientific field. By analyzing bibliographic data, it provides insights into scholarly productivity, influential works, and collaboration networks, helping to identify key developments and emerging research areas. This bibliometric analysis provides a comprehensive overview of publication patterns and impacts in the field of prenatal genetic screening with cfDNA between 1991 and 2024. This study examined research articles and reviews on cfDNA used in prenatal genetic screening in English-language literature published between 1991 and May 1, 2024. The study analyzed various parameters, including top published institutions, countries, journals, citations, and funding organizations. Data was collected from the Web of Science bibliometric database using Medical Subject Headings (MeSH) keywords related to the research topic and gathered for analyzing publications and citations. VOSviewer (Centre for Science and Technology Studies (CWTS), Leiden University, the Netherlands) was used for co-authorship among top published organizations and countries and for keyword analyses. The study included 2272 publications on cfDNA revealing a diverse range of topics, with chromosome disorders being the most common. The majority of publications in the literature were published in journals indexed in the Science Citation Index Expanded (SCIE). The top five countries in global research contributions were the United States, China, England, Italy, and the Netherlands. The top organizations/universities contributing to these publications included the Chinese University of Hong Kong, BGI Shenzhen, Baylor College of Medicine, and Tufts University. Keyword analysis revealed a vast array of keywords, with "prenatal diagnosis" dominating the discourse. Top journals on cfDNA publications include Prenatal Diagnosis (269 publications), Clinical Chemistry (78 publications), and the American Journal of Obstetrics and Gynecology (72 publications), making them the leading platforms for research dissemination in this field. This bibliometric analysis highlights the growing impact of cfDNA-based prenatal genetic screening, revealing key contributors, influential studies, and research trends shaping the field. The findings underscore the significant role of cfDNA technology in improving noninvasive prenatal testing and guiding future research directions in this domain.
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.