Evidence map›Paper›PMID 34852820›Full record

SynthesisReproductive biology and endocrinology : RB&E2021

Circulating noncoding RNAs as early predictive biomarkers in preeclampsia: a diagnostic meta-analysis.

Sha Su, Fang Yang, Linlin Zhong, Lihong Pang

Open access · goldAbstract readMeta-Analysis
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 22% of its field
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

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Current understanding of circular RNAs in preeclampsia.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
    Review
  5. Circulating miRNAs and Preeclampsia: From Implantation to Epigenetics.International journal of molecular sciences · 2024
    Review
  6. Article
  7. [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 · 2022
    Review
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

4 authors at 1 institution in 1 country.

Sha SuDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Guangxi Medical University, Shuangyong Road, Nanning, 530021, Guangxi, China.
Fang YangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Guangxi Medical University, Shuangyong Road, Nanning, 530021, Guangxi, China.
Linlin ZhongDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Guangxi Medical University, Shuangyong Road, Nanning, 530021, Guangxi, China.
Lihong PangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Guangxi Medical University, Shuangyong Road, Nanning, 530021, Guangxi, China. panglihong@stu.gxmu.edu.cn.ORCID http://orcid.org/0000-0002-5179-8396
Guangxi Medical University · CN

Funding

Guangxi Key Laboratory of Disaster Prevention and Engineering Safety 2018AD03001Guangxi Provincial Key Research and Development Project AB20159031Innovative Research Group Project of the National Natural Science Foundation of China 81960281Scientific research project of Guangxi Health Commission Z20210451Special fund for characteristic innovation team of the First Affiliated Hospital of Guangxi Medical University YYZS202008Special project of central government guiding local science and technology development ZY20198011
6 · The paper itself

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.

Indexed as

BiomarkersCell-Free Nucleic AcidsFemaleHumansPre-EclampsiaPregnancyRNA, Long NoncodingSensitivity and SpecificityBiomarkersCell-Free Nucleic AcidsRNA, Long NoncodingBiomarkersDiagnostic meta-analysisncRNAsPreeclampsia

Identifiers

PMID34852820
PMCPMC8638188
OpenAlexW3205413981

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.