Evidence map›Paper›PMID 34817849›Full record

SynthesisReproductive sciences (Thousand Oaks, Calif.)2022

The Value of Circulating microRNAs for Diagnosis and Prediction of Preeclampsia: a Meta-analysis and Systematic Review.

Shiting Qin, Ningxia Sun, Longqiang Xu, Yinglei Xu, Qian Tang, Lijuan Tan, Aiping Chen, Lu Zhang, Shiguo Liu

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Reproductive sciences (Thousand Oaks, Calif.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Circulating miRNAs and Preeclampsia: From Implantation to Epigenetics.International journal of molecular sciences · 2024
    Review
  2. Review
  3. Review
  4. 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

9 authors at 1 institution in 1 country.

Shiting Qin *Department of Medical Genetic, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China.
Ningxia Sun *Department of Medical Genetic, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China.
Longqiang XuClinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Yinglei XuDepartment of Medical Genetic, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China.
Qian TangDepartment of Medical Genetic, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China.
Lijuan TanDepartment of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Aiping ChenDepartment of Gynecology and Obstetrics, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Lu ZhangDepartment of Medical Genetic, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China.
Shiguo LiuDepartment of Medical Genetic, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China. liushiguo2002@126.com.ORCID 0000-0002-5823-3638
Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preeclampsia (PE) is one of the main causes of maternal death worldwide, but our understanding of the molecular characteristics of disease progression is limited. In this meta-analysis, we aimed to assess the value of peripheral blood microRNAs (miRNAs) as diagnostic and predictive markers of PE. We screened PubMed, Web of Science, and Embase databases; searched articles about "miRNAs and PE" up to November 30, 2020; and conducted biological information and subgroup analysis. We used QUADAS-2 (quality assessment of diagnostic accuracy studies-2) to evaluate the included articles by two independent reviewers, calculated the combined diagnostic and predictive indicators using the random effects model, explored the sources of potential heterogeneity through subgroup analysis, and evaluated publication bias using Deeks' funnel plot asymmetry test using Stata 14.0 and Review Manager 5.3 software. Forty-three miRNAs from 15 studies, including 2042 healthy controls and 2685 PE patients, had a pooled sensitivity of 0.86 (95% CI: 0.81-0.90), specificity of 0.89 (95% CI: 0.85-0.92), and an AUC of 0.94 (95% CI: 0.91-0.96). Moreover, before 20 weeks of gestation, the combined sensitivity was 0.86 (95% CI: 0.75-0.92), and the specificity was 0.90 (95% CI: 0.83-0.95), which indicated that some of the circulating miRNAs had changed significantly before the clinical symptoms appeared in PE patients. Circulating miRNAs have high diagnostic and predictive accuracy and may be used as non-invasive biomarkers for the diagnosis and prediction of PE. However, a large sample prospective study is still needed.

Indexed as

Circulating MicroRNAMicroRNAsPre-EclampsiaBiomarkersFemaleHumansPregnancySensitivity and SpecificityBiomarkersCirculating MicroRNAMicroRNAsBiomarkersMeta-analysisMicroRNAsPreeclampsiaSensitivitySpecificity

Identifiers

PMID34817849
OpenAlexW3215324385

What OpenQuestion holds

Textmetadata
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.