Evidence map›Paper›PMID 39763215›Full record

ArticleClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis

Prospective Study of lncRNA NORAD for Predicting Cerebrovascular Events in Asymptomatic Patients with Carotid Artery Stenosis.

Yan Fan, Yan Ma, Rui Wang, Lili Wang

Abstract read
In one paragraph

Article in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. LncRNA NEXN-AS1 Serves as a Diagnostic Biomarker for Carotid Artery Stenosis, Forecasting Cerebral Ischemic Events.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yan FanDepartment of Neurology, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Yan MaDepartment of Hyperbaric Oxygen, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Rui WangDepartment of Neurology, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Lili WangDepartment of Neurology, Liaocheng People's Hospital, Liaocheng, Shandong, China.ORCID 0009-0004-5088-9159

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCarotid artery stenosis (CAS) may cause many cerebrovascular diseases, and a biomarker for screening and monitoring is needed. This study focused on the clinical significance of long-chain non-coding RNA (lncRNA) non-coding RNA activated by DNA damage (NORAD) in patients with CAS and aimed to search for potential biomarkers of CAS.

methodsEighty-six asymptomatic patients with CAS and 60 healthy individuals were enrolled, with corresponding clinical data and serum samples collected. The expression of NORAD was detected by reverse transcription-quantitive PCR (RT-qPCR). All patients were followed up for 2 years to collected the occurrence data of cerebrovascular events, and Kaplan-Meier and Cox regression were used for data analysis. Receiver operator characteristic curve was used to analyze the diagnostic value of NORAD in distinguishing CAS patients from healthy people, and to evaluate the prediction accuracy of NORAD.

resultsNORAD is overexpressed in the serum of CAS patients, and associated with patients' hypertension, TC, LDL-C levels and stenosis degree. NORAD has high sensitivity (88.37%) and specificity (80.00%) in the identification of CAS patients (AUC = 0.917). NORAD was independently related to the occurrence of cerebrovascular events (HR = 2.435,

conclusionNORAD can be used as a diagnostic and prognostic biomarker for CAS, and NORAD, total cholesterol (TC), and low density lipoprotein cholesterol (LDL-C) can be independently correlated to predict cerebrovascular events.

Indexed as

Carotid StenosisRNA, Long NoncodingAgedBiomarkersFemaleHumansMaleMiddle AgedPrognosisProspective StudiesBiomarkersNORAD long non-coding RNA, humanRNA, Long Noncodingcarotid artery stenosiscerebrovascular eventsdiagnosislncRNA NORADprognosis

Identifiers

PMID39763215
PMCPMC11705339

What Socratic 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 Socratic graph.