Evidence map›Paper›PMID 34050091›Full record

ArticleJournal of cardiovascular pharmacology2021

Serum MicroRNA-137 Serves as a Novel Biomarker for Cerebral Atherosclerosis Diagnosis and Cerebrovascular Event Prediction.

Jingjing Xuan, Meiling Shang, Xuelian Li

Open access · hybridAbstract read
In one paragraph

Article in Journal of cardiovascular pharmacology, 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
0.8field-weighted citation impact, top 35% 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, 11 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Jingjing XuanDepartments of Health Care; and.
Meiling ShangInfectious Disease, Weifang People's Hospital, Weifang, Shandong, China; and.
Xuelian LiOutpatient Department, Weifang People's Hospital, Weifang, Shandong, China.
Weifang People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractMicroRNAs have been reported as biomarkers for various diseases, including cerebral atherosclerosis (AS). In this study, whether serum microRNA-137 (miR-137) could be used as a biomarker for diagnosing cerebral AS and predicting cerebrovascular event was investigated. Quantitative real-time PCR was used to measure the expression of miR-137 in serum. Logistic analysis was used to evaluate the risk factors for the occurrence of cerebral AS, and receiver operating characteristic curves were used to estimate the diagnostic value of miR-137 and other risk factors for AS occurrence. Furthermore, the prognostic value of miR-137 for patients with AS was estimated using Kaplan-Meier survival analysis and Cox regression analysis. The results indicated that serum miR-137 levels were decreased in patients with cerebral AS. The expression of miR-137 was negatively correlated with total cholesterol and low-density lipoprotein cholesterol levels in patients with cerebral AS. The levels of miR-137, total cholesterol, low-density lipoprotein cholesterol, and hypersensitivity C response protein may serve as risk factors for the occurrence of cerebral AS, and miR-137 had diagnostic value for AS screening. Cerebral AS patients with positive cerebrovascular events have low miR-137 expression. Patients with high miR-137 expression had a lower incidence of cerebrovascular adverse events (log-rank P = 0.013), and miR-137 was an independent prognostic marker for the prediction of cerebrovascular event occurrence in patients with cerebral AS. In conclusions, our findings indicate that serum miR-137 levels are decreased in patients with cerebral AS and may be a new biomarker for diagnosing cerebral AS and predicting cerebrovascular events.

Indexed as

Intracranial ArteriosclerosisStrokeBiomarkersCholesterol, LDLCorrelation of DataFemaleGene Expression ProfilingHumansKaplan-Meier EstimateMaleMicroRNAsMiddle AgedPredictive Value of TestsPrognosisRisk AssessmentRisk FactorsBiomarkersCholesterol, LDLMicroRNAsMIRN137 microRNA, human

Identifiers

PMID34050091
PMCPMC8340946
OpenAlexW3164081268

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.