Evidence map›Paper›PMID 33447421›Full record

ArticleJournal of thoracic disease2020

Circulating miR-130 is a potential bio signature for early prognosis of acute myocardial infarction.

Xiaodong Pan, Yanru He, Zhongpu Chen, Gaoliang Yan, Genshan Ma

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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

5 authors.

Xiaodong PanDepartment of Cardiology, Zhongda Hospital Affiliated to Southeast University, Nanjing, China.
Yanru HeDepartment of Cardiology, Zhongda Hospital Affiliated to Southeast University, Nanjing, China.
Zhongpu ChenDepartment of Cardiology, Zhongda Hospital Affiliated to Southeast University, Nanjing, China.
Gaoliang YanDepartment of Cardiology, Zhongda Hospital Affiliated to Southeast University, Nanjing, China.
Genshan MaDepartment of Cardiology, Zhongda Hospital Affiliated to Southeast University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs distinctive leading reasons of death globally, acute myocardial infarction (AMI). Accounts for major death ratio, caused by coronary artery disease (CAD). Its diagnosis relies on the presenting clinical symptoms, electrocardiograms (ECGs), and levels of circulating biomarkers. Recent studies have implicated microRNAs (miRNAs) in the pathogenesis of many diseases, including AMI. The present study inquire into feature value of miR-130 in AMI patients.

methodslevels of expression of miR-130 in patient plasma, considered through simultaneous quantitative polymerase chain reaction (qRT-PCR). The method used for determining Plasma cardiac troponin I (cTnI) & creatine kinase-MB(CK-MB) degree set on by enzyme-linked immunosorbent assay (ELISA). The diagnostic value of miR-130 was measured using a receiver operating characteristic (ROC) curve.

resultsPlasma miR-130, cTnI, and CK-MB levels exist remarkably inflated in the AMI classification in comparison with control category (P<0.05). MiR-130 expression peaked 6 hours after disease onset, earlier than cTnI and CK-MB. The level of expression of miR-130 6 hours after disease onset was positively correlated with cTnI and CK-MB levels 12 hours after onset. The optimal cut-off point for miR-130 in peripheral blood, sensitivity, and specificity were 1.58 ng/mL, 82.5% and 77.5%, respectively. The area under curve (AUC) was 0.922.

conclusionsThese results indicate that circulating miR-130 holds great promise as an effective biomarker for diagnosing AMI earlier.

Indexed as

Acute myocardial infarction (AMI)cardiac troponin I (cTnI)creatine kinasediagnosisMicroRNA-130 (miRNAs)

Identifiers

PMID33447421
PMCPMC7797831

What Socratic holds

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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.