Evidence map›Paper›PMID 40601529›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2025

A New Perspective on NSTE-ACS Patients in the Emergency Department: Cardiac Risk Prediction with New Inflammation Markers.

Emre Bulbul, Ayhan Tabur, Yucel Yilmaz

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

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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

3 authors.

Emre BulbulDepartment of Emergency Medicine, Erciyes University Faculty of Medicine, Kayseri, Turkey.ORCID 0000-0003-2574-376X
Ayhan TaburDepartment of Emergency Medicine, Gazi Yasargil Education and Research Hospital, Diyarbekir, Turkey.ORCID 0000-0002-4743-766X
Yucel YilmazDepartment of Cardiology, Kayseri City Training and Research Hospital, University of Health Sciences, Kayseri, Turkey.ORCID 0000-0003-2340-027X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Acute coronary syndromes (ACS) remains a leading cause of death worldwide. The use of inflammation biomarkers has recently become quite popular in understanding both the severity and prognosis of cardiovascular diseases. The aim of this study was to investigate the association of pan-immune-inflammation value (PIV) with the risk of in-hospital MACE assessed by the GRACE risk score (GRS) in patients diagnosed with NSTE-ACS. MATERIAL AND METHODS A total of 489 patients were admitted to the Emergency Department (ED) of our hospital with chest pain and hospitalized in the coronary intensive care unit and diagnosed with NSTE-ACS. PIV was calculated as: neutrophil count times platelet count times monocyte count divided by lymphocyte count. RESULTS Of the patients included in this study, 91 (18.6%) had low GRS, 183 (37.4%) had intermediate GRS, and 215 (44%) had high GRS. The inflammatory markers PIV, SII, and NLR were found to be statistically significantly higher in the MACE (+) groups (P<0.001). ROC curve analysis showed 82% sensitivity and 84% specificity in detecting MACE for a cut-off value of 756.03 for PIV (area under the receiver operating characteristics [ROC] curve 0.86 [95% CI: 0.82-0.89], P<0.001). CONCLUSIONS Inflammatory markers such as PIV were found to be statistically significantly higher in the MACE (+) groups of NSTE-ACS patients. Moreover, there was a statistically significant correlation between PIV value and GRS.

Indexed as

Acute Coronary SyndromeInflammationAgedBiomarkersEmergency Service, HospitalFemaleHumansMaleMiddle AgedNeutrophilsPrognosisRisk AssessmentRisk FactorsROC CurveBiomarkers

Identifiers

PMID40601529
PMCPMC12232489

What Socratic holds

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Registered trials

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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 Socratic graph.