Evidence map›Paper›PMID 35380333›Full record

SynthesisJournal of molecular neuroscience : MN2022

Circulating Non-coding RNAs as Potential Biomarkers for Ischemic Stroke: A Systematic Review.

Jingjing Zhao, Qianwen Wang, Ruixia Zhu, Jun Yang

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of molecular neuroscience : MN, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

8 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Review
  6. Review
  7. Epigenetic mechanisms and potential therapeutic targets in stroke.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
    Review
  8. 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.

Jingjing ZhaoDepartment of Neurology, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China.
Qianwen WangDepartment of Neurology, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China.
Ruixia Zhu *Department of Neurology, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China. zrx_200626313@163.com.ORCID http://orcid.org/0000-0002-2683-4674
Jun Yang *Department of Neurology, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China. yangjun202108@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent studies have demonstrated that dysregulated non-coding RNAs (ncRNAs) are involved in the pathogenesis of ischemic stroke (IS), including neuroinflammation, apoptosis, atherosclerosis, and angiogenesis. However, discrepant results make it difficult to apply ncRNAs to clinical practice. Therefore, we performed a meta-analysis to evaluate and elucidate the diagnostic value of ncRNAs in IS.

methodsWe searched the literature in four databases-PubMed, Web of Science, EMBASE, and the Cochrane Library-up to December 31, 2020, to identify the relationship between differentially expressed ncRNAs and IS. Pooled sensitivity and specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and the corresponding 95% confidence intervals (95% CIs) were calculated to assess the diagnostic performance of ncRNAs.

resultsFifteen studies on microRNAs (miRNAs) including 1687 IS patients and eight studies on long non-coding RNAs (lncRNAs) including 741 IS patients were included in our study. Estimates of the identification efficiency of miRNAs from the 15 studies were as follows: 0.76 (95% CI: 0.67-0.84) for sensitivity (SEN), 0.83 (95% CI: 0.77-0.88) for specificity (SPE), 4.5 (95% CI: 3.4-6.1) for PLR, 0.29 (95% CI: 0.20-0.40) for NLR, and 16 (95% CI: 10-26) for DOR. The area under the curve (AUC) of the summary receiver operator characteristic (SROC) curve showed diagnostic accuracy of 0.87 (95% CI: 0.84-0.90); thus the diagnostic value of all the miRNAs was moderate. In addition, the results for lncRNAs were as follows: 0.73 (95% CI: 0.69-0.77) for SEN, 0.75 (95% CI: 0.70-0.79) for SPE, 2.9 (95% CI: 2.4-3.4) for PLR, 0.36 (95% CI: 0.31-0.42) for NLR, 8 (95% CI: 6-11) for DOR, 0.80 (95% CI: 0.76-0.83) for AUC, and a moderate diagnostic value.

conclusionOur study revealed that blood-circulating ncRNAs could be a moderately effective candidate biomarker for the diagnosis of IS. Furthermore, the combined lncRNAs showed more accurate diagnostic properties than single lncRNAs, and some single miRNAs (e.g., miR-107) showed better diagnostic performance, which may contribute to IS clinical practice.

Indexed as

Ischemic StrokeMicroRNAsRNA, Long NoncodingArea Under CurveBiomarkersBiomarkers, TumorHumansBiomarkersBiomarkers, TumorMicroRNAsRNA, Long NoncodingBiomarkerDiagnosisIschemic strokelncRNAsmiRNAs

Identifiers

PMID35380333

What OpenQuestion holds

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Registered trials

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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.