ArticleScientific reports2018
Early Detection of Preeclampsia Using Circulating Small non-coding RNA.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 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
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Autonomic Dysfunction in Preeclampsia: A Systematic Review.Frontiers in neurology · 2019Pooled it
- Cell-free RNAs in maternal peripheral blood as potential biomarkers of preeclampsia: a review.Reproductive biology and endocrinology : RB&E · 2025Review
- Non-coding RNAs: the architects of placental development and pregnancy success.Molecular genetics and genomics : MGG · 2025Review
- Molecular Biomarkers for Timely and Personalized Prediction of Maternal-Fetal Health Risk.Biomolecules · 2025Review
- Preeclampsia prediction via machine learning: a systematic literature review.Health systems (Basingstoke, England) · 2025Review
- MicroRNAs in the Pathogenesis of Preeclampsia-A Case-Control In Silico Analysis.Current issues in molecular biology · 2024Article
- Discovery and verification of extracellular microRNA biomarkers for diagnostic and prognostic assessment of preeclampsia at triage.Science advances · 2023Article
- Exploring the potential of microRNA as a diagnostic tool for gestational diabetes.Journal of translational medicine · 2023Review
- Maternal Plasma RNA in First Trimester Nullipara for the Prediction of Spontaneous Preterm Birth ≤ 32 Weeks: Validation Study.Biomedicines · 2023Article
- Circulating microparticle proteins predict pregnancies complicated by placenta accreta spectrum.Scientific reports · 2023Article
- Circulating Non-coding RNAs and Exosomes: Liquid Biopsies for Monitoring Preeclampsia.Methods in molecular biology (Clifton, N.J.) · 2023Review
- Analysis of Varying MicroRNAs as a Novel Biomarker for Early Diagnosis of Preeclampsia: A Scoping Systematic Review of the Observational Study.International journal of preventive medicine · 2023Article
- [Latest Research Findings on Prediction of Preeclampsia in Pregnant Women Based on Analysis of Cell-Free RNA in Peripheral Blood].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2022Review
- Data-Driven Medicine in the Diagnosis and Treatment of Infertility.Journal of clinical medicine · 2022Article
- Review
- Detection of Embryonic Trisomy 21 in the First Trimester Using Maternal Plasma Cell-Free RNA.Diagnostics (Basel, Switzerland) · 2022Article
- Evaluation of a Maternal Plasma RNA Panel Predicting Spontaneous Preterm Birth and Its Expansion to the Prediction of Preeclampsia.Diagnostics (Basel, Switzerland) · 2022Article
- Review
- Article
- Early pregnancy prediction of spontaneous preterm birth before 32 completed weeks of pregnancy using plasma RNA: transcriptome discovery and initial validation of an RNA panel of markers.BJOG : an international journal of obstetrics and gynaecology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Preeclampsia is one of the most dangerous pregnancy complications, and the leading cause of maternal and perinatal mortality and morbidity. Although the clinical symptoms appear late, its origin is early, and hence detection is feasible already at the first trimester. In the current study, we investigated the abundance of circulating small non-coding RNAs in the plasma of pregnant women in their first trimester, seeking transcripts that best separate the preeclampsia samples from those of healthy pregnant women. To this end, we performed small non-coding RNAs sequencing of 75 preeclampsia and control samples, and identified 25 transcripts that were differentially expressed between preeclampsia and the control groups. Furthermore, we utilized those transcripts and created a pipeline for a supervised classification of preeclampsia. Our pipeline generates a logistic regression model using a 5-fold cross validation on numerous random partitions into training and blind test sets. Using this classification procedure, we achieved an average AUC value of 0.86. These findings suggest the predictive value of circulating small non-coding RNA in the first trimester, warranting further examination, and lay the foundation for producing a novel early non-invasive diagnostic tool for preeclampsia, which could reduce the life-threatening risk for both the mother and fetus.
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.