Evidence map›Paper›PMID 34369281›Full record

ArticleRenal failure2021

Long noncoding RNA PR11-387H17.6 as a potential novel diagnostic biomarker of atherosclerotic renal artery stenosis.

Wenxia Fu, Xiaoxiang Tian, Liwen Liu, Xiaolin Zhang, Xiaozeng Wang

Open access · goldAbstract read
In one paragraph

Article in Renal failure, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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 2 institutions in 1 country.

Wenxia FuDepartment of Cardiac Function, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Xiaoxiang TianDepartment of Cardiology and Institute of Cardiovascular Research, General Hospital of Northern Theater Command, Shenyang, China.
Liwen LiuDepartment of Cardiology and Institute of Cardiovascular Research, General Hospital of Northern Theater Command, Shenyang, China.
Xiaolin ZhangDepartment of Cardiology and Institute of Cardiovascular Research, General Hospital of Northern Theater Command, Shenyang, China.
Xiaozeng WangDepartment of Cardiology and Institute of Cardiovascular Research, General Hospital of Northern Theater Command, Shenyang, China.
General Hospital of Shenyang Military Region · CNShanghai Chest Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtherosclerotic renal artery stenosis (ARAS) is frequently related to ischemic nephropathy, secondary hypertension, and end-stage renal failure. Thus, this study aimed to explore whether certain circulating long noncoding RNAs (lncRNAs) may be used as potential specific ARAS biomarkers.

methodsIn the present study, a microarray analysis was performed to screen for lncRNAs in renal artery tissue from four ARAS patients and four non-ARAS individuals. To identify specific lncRNAs as candidate potential biomarkers of ARAS, we used the following criteria: the fold change was set to >3.0 (compared with non-ARAS tissues), and

resultsIn the ROC analysis, the area under the curve (AUC) of PR11-387H17.6 was 0.733, with 52.5% sensitivity and 84.8% specificity in predicting the occurrence of ARAS. After considering the risk factors, the AUC of PR11-387H17.6 was 0.844, and the optimal sensitivity increased from 52.5% to 74.5%, although the specificity decreased from 84.8% to 81.9%. In the multivariable logistic analysis, PR11-387H17.6 was an independent predictor of major adverse events (OR: 3.039; 95% CI: 1.388-6.654;

conclusionsPR11-387H17.6 is a potential diagnostic biomarker of ARAS. The lncRNA levels in blood cells are regulated in ARAS. Thus, further investigations of the role of lncRNAs in ARAS are warranted.

Indexed as

AdultAgedArea Under CurveAtherosclerosisBiomarkersCase-Control StudiesFemaleHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisRenal Artery ObstructionRisk FactorsRNA, Long NoncodingROC CurveBiomarkersRNA, Long Noncodingatherosclerotic renal artery stenosisbiomarkerLong noncoding RNAsrisk factor

Identifiers

PMID34369281
PMCPMC8354168
OpenAlexW3189069833

What OpenQuestion holds

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LicenceCC BY
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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.