Evidence map›Paper›PMID 33557763›Full record

ArticleBMC cardiovascular disorders2021

Circulating level of microRNA-142-5p is a potential biomarker for predicting in-stent restenosis: a case-control study.

Chun-Hsu Pan, Shu-Chen Chien, Chang-Jui Chen, Chun-Ming Shih, Ming-Hsiung Hsieh, Chun-Yao Huang, Wei-Fung Bi, Chao-Shun Chan, Yung-Ta Kao, Cheng-Yi Hsiao and 7 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC cardiovascular disorders, 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
1.7field-weighted citation impact, top 17% 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, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Diabetes and restenosis.Cardiovascular diabetology · 2022
    Review
  4. Article
  5. Article
  6. Article
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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

17 authors at 3 institutions in 2 countries.

Chun-Hsu Pan *PhD Program in Drug Discovery and Development Industry, College of Pharmacy, Taipei Medical University, Taipei, 11031, Taiwan.
Shu-Chen Chien *School of Pharmacy, Taipei Medical University, Taipei, 11031, Taiwan.
Chang-Jui ChenSchool of Pharmacy, Taipei Medical University, Taipei, 11031, Taiwan.
Chun-Ming ShihDepartment of Cardiology, Taipei Medical University Hospital, Taipei, 11031, Taiwan.
Ming-Hsiung HsiehDepartment of Cardiology, Taipei Municipal Wanfang Hospital, Taipei Medical University, Taipei, 11031, Taiwan.
Chun-Yao HuangDepartment of Cardiology, Taipei Medical University Hospital, Taipei, 11031, Taiwan.
Wei-Fung BiDepartment of Cardiology, Taipei Medical University Hospital, Taipei, 11031, Taiwan.
Chao-Shun ChanDepartment of Cardiology, Taipei Medical University Hospital, Taipei, 11031, Taiwan.
Yung-Ta KaoDepartment of Cardiology, Taipei Medical University Hospital, Taipei, 11031, Taiwan.
Cheng-Yi HsiaoDepartment of Cardiology, Taipei Medical University Hospital, Taipei, 11031, Taiwan.
Shuo-Ju ChiangDepartment of Cardiology, Taipei Medical University Hospital, Taipei, 11031, Taiwan.
Kuang-Hsing ChiangDepartment of Cardiology, Taipei Medical University Hospital, Taipei, 11031, Taiwan.
Jen-Hung HuangDepartment of Cardiology, Taipei Municipal Wanfang Hospital, Taipei Medical University, Taipei, 11031, Taiwan.
Yun-Ru LiuJoint Biobank, Office of Human Research, Taipei Medical University, Taipei, 11031, Taiwan.
Ji-Dung LuoBioinformatics Resource Center, The Rockefeller University, New York, NY, 10065, USA.
Hui-Yu HuangGraduate Institute of Metabolism and Obesity Sciences, Taipei Medical University, Taipei, 11031, Taiwan.
Chieh-Hsi WuSchool of Pharmacy, Taipei Medical University, Taipei, 11031, Taiwan. chhswu@tmu.edu.tw.
Taipei Medical University · TWTaipei Medical University Hospital · TWRockefeller University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients who receive percutaneous coronary intervention (PCI) have different chances of developing in-stent restenosis (ISR). To date, no predictable biomarker can be applied in the clinic. MicroRNAs (miRNAs or miRs) play critical roles in transcription regulation, and their circulating levels were reported to have potential as clinical biomarkers.

methodsIn total, 93 coronary stent-implanted patients without pregnancy, liver or renal dysfunction, malignancy, hemophilia, or autoimmune diseases were recruited in this clinical study. All recruited participants were divided into an ISR group (n = 45) and a non-ISR group (n = 48) based on their restenotic status as confirmed by cardiologists at the first follow-up visit (6 months after surgery). Blood samples of all participants were harvested to measure circulating levels of miRNA candidates (miR-132, miR-142-5p, miR-15b, miR-24-2, and miR-424) to evaluate whether these circulating miRNAs can be applied as predictive biomarkers of ISR.

resultsOur data indicated that circulating levels of miR-142-5p were significantly higher in the ISR population, and results from the receiver operating characteristic (ROC) curve analysis also demonstrated superior discriminatory ability of miR-142-5p in predicting patients' restenotic status. In addition, circulating levels of miR-15b, miR-24-2, and miR-424 had differential expressions in participants with diabetes, hyperlipidemia, and hypertension, respectively.

conclusionsThe current study revealed that the circulating level of miR-142-5p has potential application as a clinical biomarker for predicting the development of ISR in stent-implanted patients.

Indexed as

StentsAgedBiomarkersCase-Control StudiesCirculating MicroRNACoronary Artery DiseaseCoronary RestenosisFemaleHumansMaleMicroRNAsMiddle AgedPercutaneous Coronary InterventionPredictive Value of TestsRisk FactorsTaiwanBiomarkersCirculating MicroRNAMicroRNAsMIRN142 microRNA, humanBiomarkerCirculating levelIn-stent restenosismiRNA

Identifiers

PMID33557763
PMCPMC7869494
OpenAlexW3126420519

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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.