Evidence map›Paper›PMID 40810830›Full record

ArticleIrish journal of medical science2025

Prognostic value of elabela peptide on predicting major adverse cardiac events of NSTEMI patients in emergency department.

Fulya Erdogan, Dilay Satilmis, Egemen Yildiz, Erdem Cevik

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Article in Irish journal of medical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. Review
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.

Fulya ErdoganDepartment of Emergency Medicine, University of Health Sciences Sultan 2 Abdulhamid Han Training and Research Hospital, 34668, Istanbul, Turkey.ORCID http://orcid.org/0000-0002-0545-3944
Dilay SatilmisDepartment of Emergency Medicine, University of Health Sciences Sultan 2 Abdulhamid Han Training and Research Hospital, 34668, Istanbul, Turkey. drdilay09@gmail.com.ORCID http://orcid.org/0000-0003-3765-2208
Egemen YildizDepartment of Emergency Medicine, Kutahya City Hospital, Kutahya, Turkey.ORCID http://orcid.org/0000-0002-9389-6242
Erdem CevikDepartment of Emergency Medicine, University of Health Sciences Sultan 2 Abdulhamid Han Training and Research Hospital, 34668, Istanbul, Turkey.ORCID http://orcid.org/0000-0003-1474-3166

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsThis study aimed to investigate the effects of Elabela peptide (ELA) levels in non-ST-segment elevation myocardial infarction (NSTEMI) patients presenting to the emergency department (ED) with cardiac chest pain to investigate the efficacy of ELA in predicting major adverse cardiac events (MACE).

methodsOur single-center, prospective study involved NSTEMI patients admitted to ED between June 2023 and June 2024. Serum ELA levels were determined by enzyme-linked immunosorbent assay using commercial kits. The performance of the ELA in predicting MACE and discriminating the NSTEMI group was evaluated by the receiver operating characteristic (ROC) analysis and the area under the curve (AUC).

resultsA total of 119 patients participated in this study: 64 NSTEMI patients and 55 controls. There was a weak and statistically significant correlation between the high-sensitive cardiac troponin T value at admission and the ELA levels. The median ELA value of the group with and without MACE was 954 and 811 pg/ml, respectively. There was a statistically significant difference between these groups (p = 0.049). The ability of the ELA value to predict 30-day MACE was assessed using ROC analysis, yielding an AUC of 0.652 (95% CI 0.523-0.767). The optimal cut-off point for ELA based on the Youden Index was > 962 pg/ml (sensitivity: 48.84%; specificity: 90.48%; positive likelihood ratio 5.13; negative likelihood ratio 0.57).

conclusionsIn conclusion, we propose that ELA can assist in the early diagnosis of NSTEMI patients presenting to ED with chest pain and may be an effective and supportive biomarker for predicting MACE.

Indexed as

Non-ST Elevated Myocardial InfarctionAgedBiomarkersChest PainEmergency Service, HospitalFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisProspective StudiesROC CurveTroponin TBiomarkersTroponin TElabelaHigh-sensitivity cardiac troponinMajor adverse cardiac eventsNon-ST elevated myocardial infarction

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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.