Evidence map›Paper›PMID 36012430›Full record

ReviewInternational journal of molecular sciences2022

From Classic to Modern Prognostic Biomarkers in Patients with Acute Myocardial Infarction.

Cristian Stătescu, Larisa Anghel, Bogdan-Sorin Tudurachi, Andreea Leonte, Laura-Cătălina Benchea, Radu-Andy Sascău

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. Review
  3. Cumulative Serum Endothelin-1 and Endothelin-3 Level Predicts 1-year Adverse Cardiac Events after ST-Elevation Acute Myocardial Infarction.The International journal of angiology : official publication of the International College of Angiology, Inc · 2026
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  5. Observational
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  7. Article
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  9. Observational
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  15. Survival outcomes correlate with the level of cell-free circulating DNA in ST-elevation myocardial infarction.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2024
    Article
  16. Article
  17. Review
  18. 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

6 authors at 2 institutions in 2 countries.

Cristian StătescuCardiology Department, Cardiovascular Diseases Institute "Prof. Dr. George I. M. Georgescu", 700503 Iași, Romania.ORCID 0000-0001-6439-4561
Larisa AnghelCardiology Department, Cardiovascular Diseases Institute "Prof. Dr. George I. M. Georgescu", 700503 Iași, Romania.
Bogdan-Sorin TudurachiCardiology Department, Cardiovascular Diseases Institute "Prof. Dr. George I. M. Georgescu", 700503 Iași, Romania.ORCID 0000-0002-7687-8624
Andreea LeonteCardiology Department, Cardiovascular Diseases Institute "Prof. Dr. George I. M. Georgescu", 700503 Iași, Romania.
Laura-Cătălina BencheaCardiology Department, Cardiovascular Diseases Institute "Prof. Dr. George I. M. Georgescu", 700503 Iași, Romania.ORCID 0000-0003-2823-8232
Radu-Andy SascăuCardiology Department, Cardiovascular Diseases Institute "Prof. Dr. George I. M. Georgescu", 700503 Iași, Romania.
Grigore T. Popa University of Medicine and Pharmacy · ROInfectious Diseases Institute · UG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite all the important advances in its diagnosis and treatment, acute myocardial infarction (AMI) is still one of the most prominent causes of morbidity and mortality worldwide. Early identification of patients at high risk of poor outcomes through the measurement of various biomarker concentrations might contribute to more accurate risk stratification and help to guide more individualized therapeutic strategies, thus improving prognoses. The aim of this article is to provide an overview of the role and applications of cardiac biomarkers in risk stratification and prognostic assessment for patients with myocardial infarction. Although there is no ideal biomarker that can provide prognostic information for risk assessment in patients with AMI, the results obtained in recent years are promising. Several novel biomarkers related to the pathophysiological processes found in patients with myocardial infarction, such as inflammation, neurohormonal activation, myocardial stress, myocardial necrosis, cardiac remodeling and vasoactive processes, have been identified; they may bring additional value for AMI prognosis when included in multi-biomarker strategies. Furthermore, the use of artificial intelligence algorithms for risk stratification and prognostic assessment in these patients may have an extremely important role in improving outcomes.

Indexed as

Artificial IntelligenceMyocardial InfarctionBiomarkersHumansPrognosisRisk AssessmentBiomarkersbiomarkerscardiac functionmyocardial infarctionprognosis

Identifiers

PMID36012430
PMCPMC9409468
OpenAlexW4292071182

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.