Evidence map›Paper›PMID 36105117›Full record

ReviewMolecular & cellular toxicology2022

Cardiac biomarkers and detection methods for myocardial infarction.

Sang Young Kim, Jin-Pyo Lee, Woo-Ri Shin, In-Hwan Oh, Ji-Young Ahn, Yang-Hoon Kim

Open access · bronzeAbstract readReview
In one paragraph

Review in Molecular & cellular toxicology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

14 citing papers in PubMed, 50 citations in OpenAlex.

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  9. Effects ofJournal of experimental pharmacology · 2025
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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

6 authors at 2 institutions in 1 country.

Sang Young KimDepartment of Food Science and Biotechnology, Shin Ansan University, 135 Sinansandaehak-Ro, Danwon-Gu, Ansan, 15435 Republic of Korea.
Jin-Pyo LeeSchool of Biological Science, Chungbuk National University, 410 Sungbong-Ro, Heungduk-Gu, Cheongju, 361-763 South Korea.
Woo-Ri ShinSchool of Biological Science, Chungbuk National University, 410 Sungbong-Ro, Heungduk-Gu, Cheongju, 361-763 South Korea.
In-Hwan OhSchool of Biological Science, Chungbuk National University, 410 Sungbong-Ro, Heungduk-Gu, Cheongju, 361-763 South Korea.
Ji-Young AhnSchool of Biological Science, Chungbuk National University, 410 Sungbong-Ro, Heungduk-Gu, Cheongju, 361-763 South Korea.ORCID 0000-0002-3729-2284
Yang-Hoon KimSchool of Biological Science, Chungbuk National University, 410 Sungbong-Ro, Heungduk-Gu, Cheongju, 361-763 South Korea.
Chungbuk National University · KRShin Ansan University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A significant heart attack known as a myocardial infarction (MI) occurs when the blood supply to the heart is suddenly interrupted, harming the heart muscles due to a lack of oxygen. The incidence of myocardial infarction is increasing worldwide. A relationship between COVID-19 and myocardial infarction due to the recent COVID-19 pandemic has also been revealed. Objective: We propose a biomarker and a method that can be used for the diagnosis of myocardial infarction, and an aptamer-based approach. Results: For the diagnosis of myocardial infarction, an algorithm-based diagnosis method was developed using electrocardiogram data. A diagnosis method through biomarker detection was then developed. Conclusion: Myocardial infarction is a disease that is difficult to diagnose based on the aspect of a single factor. For this reason, it is necessary to use a combination of various methods to diagnose myocardial infarction quickly and accurately. In addition, new materials such as aptamers must be grafted and integrated into new ways. Purpose of Review: The incidence of myocardial infarction is increasing worldwide, and some studies are being conducted on the association between COVID-19 and myocardial infarction. The key to properly treating myocardial infarction is early detection, thus we aim to do this by offering both tools and techniques as well as the most recent diagnostic techniques. Recent Findings: Myocardial infarction is diagnosed using an electrocardiogram and echocardiogram, which utilize cardiac signals. It is required to identify biomarkers of myocardial infarction and use biomarker-based ELISA, SPR, gold nanoparticle, and aptamer technologies in order to correctly diagnose myocardial infarction.

Indexed as

BiomarkerDiagnosisMyocardial infarction

Identifiers

PMID36105117
PMCPMC9463516
OpenAlexW4295095071

What OpenQuestion 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 OpenQuestion graph.