Evidence map›Paper›PMID 39242489›Full record

ArticleMolecular biotechnology2025

Changes and Diagnostic Significance of miR-542-3p Expression in Patients with Myocardial Infarction.

Yu Chen, Shuke Liu, Xueshan Zhang, Changpeng Zuo

Abstract read
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In one paragraph

Article in Molecular biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Review
  3. 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

4 authors.

Yu ChenDepartment of Cardiology, Wuxi Xishan People's Hospital, Wuxi, 214000, China.
Shuke LiuDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221002, China.
Xueshan ZhangDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221002, China.
Changpeng ZuoDepartment of Cardiology, Huai'an Second People's Hospital, The Affiliated Huai'an Hospital of Xuzhou Medical University, No. 62, Huaihai South Road, Huai'an, 223002, China. zuochangpengdr@163.com.ORCID http://orcid.org/0009-0009-1697-4428

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myocardial infarction (AMI) is a heart lesion, that endangers the life safety of patients. This study focused on exploring the clinical effect of miR-542-3p on AMI and no-reflow after percutaneous coronary intervention (PCI). Serum samples were collected from 100 AMI emergency inpatients. The expression of miR-542-3p was quantified by qPCR. The predictive role of miR-542-3p was disclosed by plotting ROC curve. In addition, AMI subjects were cataloged into a group of no-reflow and normal reflow group. The risk factors of no-reflow were estimated by logistic regression analysis. In the serum samples of AMI patients, the level of miR-542-3p showed a pattern of decreasing. MiR-542-3p expression represented a high sensitivity and specificity of the prediction of AMI. A decrease of miR-542-3p content was revealed in AMI patients without reflow after PCI. Logistic regression results reflected that miR-542-3p was an independent biomarker for no-reflow. The declined miR-542-3p expression was a predictive marker for AMI and no-reflow in AMI patients.

Indexed as

MicroRNAsMyocardial InfarctionAgedBiomarkersFemaleHumansLogistic ModelsMaleMiddle AgedNo-Reflow PhenomenonPercutaneous Coronary InterventionRisk FactorsROC CurveBiomarkersMicroRNAsMIRN542 microRNA, humanAcute myocardial infarctionBlood reflowmiR-542-3pPercutaneous coronary interventionPrediction

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.