Evidence map›Paper›PMID 34055880›Full record

ArticleFrontiers in molecular biosciences2021

A Highly Predictive MicroRNA Panel for Determining Delayed Cerebral Vasospasm Risk Following Aneurysmal Subarachnoid Hemorrhage.

Wang-Xia Wang, Joe E Springer, Kevin Xie, David W Fardo, Kevin W Hatton

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.0field-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

14 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Review
  9. A Future Blood Test to Detect Cerebral Aneurysms.Cellular and molecular neurobiology · 2023
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. 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

5 authors at 1 institution in 1 country.

Wang-Xia WangSanders Brown Center on Aging, University of Kentucky, Lexington, KY, United States.
Joe E SpringerSpinal Cord and Brain Injury Research Center, University of Kentucky, Lexington, KY, United States.
Kevin XieBiostatistics, University of Kentucky, Lexington, KY, United States.
David W FardoSanders Brown Center on Aging, University of Kentucky, Lexington, KY, United States.
Kevin W HattonAnesthesiology Critical Care Medicine, University of Kentucky, Lexington, KY, United States.
University of Kentucky · US

Funding

Genomic Architecture of a Key Alzheimer's Disease Mimic: CARTSR56AG057191 · NIA · UNIVERSITY OF KENTUCKY · PI FARDO, DAVID WILLIAM · 2019 to 2020
$1.1M
NIA NIH HHS R56 AG057191
6 · The paper itself

Abstract

Approximately one-third of aneurysmal subarachnoid hemorrhage (aSAH) patients develop delayed cerebral vasospasm (DCV) 3-10 days after aneurysm rupture resulting in additional, permanent neurologic disability. Currently, no validated biomarker is available to determine the risk of DCV in aSAH patients. MicroRNAs (miRNAs) have been implicated in virtually all human diseases, including aSAH, and are found in extracellular biofluids including plasma and cerebrospinal fluid (CSF). We used a custom designed TaqMan Low Density Array miRNA panel to examine the levels of 47 selected brain and vasculature injury related miRNAs in CSF and plasma specimens collected from 31 patients with or without DCV at 3 and 7 days after aSAH, as well as from eight healthy controls. The analysis of the first 18-patient cohort revealed a striking differential expression pattern of the selected miRNAs in CSF and plasma of aSAH patients with DCV from those without DCV. Importantly, this differential expression was observed at the early time point (3 days after aSAH), before DCV event occurs. Seven miRNAs were identified as reliable DCV risk predictors along with a prediction model constructed based on an array of additional 19 miRNAs on the panel. These chosen miRNAs were then used to predict the risk of DCV in a separate, testing cohort of 15 patients. The accuracy of DCV risk prediction in the testing cohort reached 87%. The study demonstrates that our novel designed miRNA panel is an effective predictor of DCV risk and has strong applications in clinical management of aSAH patients.

Indexed as

aneurysmal subarachnoid hemorrhagebiomarkercerebrospinal fluiddelayed cerebral vasospasmmicroRNAplasma

Identifiers

PMID34055880
PMCPMC8163224
OpenAlexW3163679909

What OpenQuestion holds

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LicenceCC BY
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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.