SynthesisReproductive biology and endocrinology : RB&E2021
Circulating noncoding RNAs as early predictive biomarkers in preeclampsia: a diagnostic meta-analysis.
Synthesis in Reproductive biology and endocrinology : RB&E, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Extracellular Vesicle-Associated Non-Coding RNAs in Preeclampsia: Mechanistic Insights, Biomarker Discovery, and Emerging Nanomedicine Concepts.International journal of nanomedicine · 2026Review
- Non-coding RNAs: emerging biomarkers and therapeutic targets in cancer and inflammatory diseases.Frontiers in oncology · 2025Review
- The gut-placenta axis in preeclampsia: unraveling the regulatory network and clinical prospects in pathogenesis.Frontiers in cellular and infection microbiology · 2025Review
- Current understanding of circular RNAs in preeclampsia.Hypertension research : official journal of the Japanese Society of Hypertension · 2024Review
- Circulating miRNAs and Preeclampsia: From Implantation to Epigenetics.International journal of molecular sciences · 2024Review
- Immune dysfunction mediated by the competitive endogenous RNA network in fetal side placental tissue of polycystic ovary syndrome.PloS one · 2024Article
- [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
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundWe designed a meta-analysis to evaluate the clinical significance and efficacy of circulating noncoding RNAs (ncRNAs) in the early prediction of preeclampsia.
methodsPubMed, Embase and the Cochrane Library were used to search for literature. The combined prediction performance was evaluated by calculating the area under the summary receiver operator characteristic (SROC) curve. The potential sources of heterogeneity were analysed by meta-regression analysis and subgroup analysis. All statistical analyses and mapping were performed by RevMan 5.3 and Stata 12.0.
resultsA total of 41 studies from 14 articles, including 557 preeclampsia patients and 842 controls, were included in our meta-analysis. All studies collected blood before onset. NcRNAs in blood performed relatively well in predicting preeclampsia. The combined sensitivity was 0.71, the specificity was 0.84, and the area under the SROC curve (AUC) was 0.86. Peripheral blood mononuclear cell (PBMC) samples showed the best diagnostic accuracy. The combined AUC was 0.93. Combined detection was better than single detection, and miRNA was better than circRNA. The heterogeneity of the study was determined by sample size, lncRNA characteristics, lncRNA source and race.
conclusionCirculating ncRNAs can be valuable biomarkers used as candidates for noninvasive early predictive biomarkers of preeclampsia and have great clinical application prospects. The clinical value of ncRNAs needs to be tested by further multicentre, comprehensive and prospective studies, and the test criteria should be established.
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