Evidence map›Paper›PMID 31966451›Full record

ArticleInternational journal of clinical and experimental pathology2017

Elevated circulating miR-126-3p expression in patients with acute myocardial infarction: its diagnostic value.

Yuan He, Jianfeng Zhong, Shian Huang, Xiaorong Shui, Danli Kong, Can Chen, Wei Lei

Abstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Yuan HeLaboratory of Cardiovascular Diseases, Guangdong Key Laboratory of Age-Related Cardiac and Cerebral Diseases, Guangdong Medical University Zhanjiang, China.
Jianfeng ZhongCardiovascular Medicine Center, Affiliated Hospital of Guangdong Medical University Zhanjiang, China.
Shian HuangCardiovascular Medicine Center, Affiliated Hospital of Guangdong Medical University Zhanjiang, China.
Xiaorong ShuiLaboratory of Vascular Surgery, Guangdong Medical University Zhanjiang, China.
Danli KongInstitute of Medical Systems Biology, School of Public Health, Guangdong Medical University Dongguan, Guangdong, China.
Can ChenLaboratory of Cardiovascular Diseases, Guangdong Key Laboratory of Age-Related Cardiac and Cerebral Diseases, Guangdong Medical University Zhanjiang, China.
Wei LeiLaboratory of Cardiovascular Diseases, Guangdong Key Laboratory of Age-Related Cardiac and Cerebral Diseases, Guangdong Medical University Zhanjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myocardial infarction (AMI) therapy has not remarkably improved due to delay in the diagnosis to a great extent. Circulating microRNAs have shown some potential for diagnosis of cardiovascular diseases. The aim of this study was to estimate the diagnostic value of circulating miR-126-3p for AMI. In our study, circulating miR-126-3p levels were determined by quantitative polymerase chain reaction and the results showed it was 106-fold higher than that in controls, and elevated miR-126-3p was associated with aging through logistic correlation analyses. Receiver-operator characteristic curve was used to evaluate the sensitivity and specificity of miR-126-3p for diagnosis of AMI, indicating that its diagnostic effect was superior to the current clinical markers such as CK, CK-MB, hs-TnI, and MYO. Our results indicate that miR-126-3p in circulation is a potential novel diagnostic biomarker for AMI.

Indexed as

Acute myocardial infarctionbiomarkerdiagnosismicroRNAmiR-126-3p

Identifiers

PMID31966451
PMCPMC6965822

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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.