Evidence map›Paper›PMID 42464131›Full record

ArticleBMC emergency medicine2026

Performance of the SVEAT (Symptoms, Vascular Disease History, Electrocardiography, Age, and Troponin) score for predicting 90-day major adverse cardiac events in patients with acute chest pain.

Ali Ayvaz, Akkan Avci, Mustafa Oguz Tugcan, Muhammed Mert Can, Ahmet Burak Urfalioglu, Erdem Aksay, Yeliz Simsek, Sadiye Yolcu Seven, Begum Seyda Avci, Ecem Basak Kaya and 3 more

Abstract read
In one paragraph

Article in BMC emergency medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Ali AyvazDepartment of Emergency Medicine, Adana City Training and Research Hospital, Health Sciences University, Adana, 01060, Türkiye.ORCID http://orcid.org/0009-0006-0429-4108
Akkan AvciDepartment of Emergency Medicine, Adana City Training and Research Hospital, Health Sciences University, Adana, 01060, Türkiye. drakkanavci@gmail.com.ORCID http://orcid.org/0000-0002-4627-0909
Mustafa Oguz TugcanDepartment of Emergency Medicine, Cukurova University, Adana, Türkiye.ORCID http://orcid.org/0000-0002-1200-9198
Muhammed Mert CanDepartment of Emergency Medicine, Adana City Training and Research Hospital, Health Sciences University, Adana, 01060, Türkiye.ORCID http://orcid.org/0009-0002-5860-6980
Ahmet Burak UrfaliogluDepartment of Emergency Medicine, Adana City Training and Research Hospital, Health Sciences University, Adana, 01060, Türkiye.ORCID http://orcid.org/0000-0003-4639-7130
Erdem AksayDepartment of Emergency Medicine, Division of Intensive Care, Faculty of Medicine, Cukurova University, Adana, Türkiye.ORCID http://orcid.org/0000-0001-5269-2318
Yeliz SimsekDepartment of Emergency Medicine, Adana City Training and Research Hospital, Health Sciences University, Adana, 01060, Türkiye.ORCID http://orcid.org/0000-0003-2362-2112
Sadiye Yolcu SevenDepartment of Emergency Medicine, Adana City Training and Research Hospital, Health Sciences University, Adana, 01060, Türkiye.ORCID http://orcid.org/0000-0003-3323-9213
Begum Seyda AvciDepartment of Emergency Medicine, Adana City Training and Research Hospital, Health Sciences University, Adana, 01060, Türkiye.ORCID http://orcid.org/0000-0001-6149-9341
Ecem Basak KayaDepartment of Emergency Medicine, Adana City Training and Research Hospital, Health Sciences University, Adana, 01060, Türkiye.ORCID http://orcid.org/0009-0007-8369-3680
Aysegul SancaktarDepartment of Emergency Medicine, Adana City Training and Research Hospital, Health Sciences University, Adana, 01060, Türkiye.ORCID http://orcid.org/0009-0006-1366-3585
Mehmet BankirDepartment of Internal Medicine, Adana Ortadogu Hospital, Adana, Türkiye.ORCID http://orcid.org/0000-0003-3284-2838
Ramazan GuvenDepartment of Emergency Medicine, Faculty of Medicine, Atlas University, Istanbul, Turkey.ORCID http://orcid.org/0000-0003-4129-8985

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the emergency department, chest pain is a common presentation, and the primary clinical challenge is the early identification of patients at risk of major adverse cardiac events (MACE). This study aimed to evaluate the diagnostic performance of the SVEAT (Symptoms, Vascular Disease History, ECG, Age, and Troponin) score in predicting 90-day MACE in patients presenting with acute chest pain.

methodsThis study included 348 patients presenting with acute chest pain. Serial high-sensitivity troponin I (HsTn-I) measurements were obtained at admission and 2 h later. Electrocardiographic and clinical data were recorded, and the SVEAT, HEART, and TIMI scores were calculated. Patients were followed for 90 days for MACE occurrence.

resultsMACE occurred in 7.2% of patients during the 90-day follow-up. The second high-sensitivity troponin I (HsTn-I) measurement was significantly associated with MACE (p = 0.007). The SVEAT score demonstrated the highest discriminative performance (AUC = 0.806), compared with the HEART score (AUC = 0.756) and TIMI score (AUC = 0.753). At the optimal cut-off value of 4, the SVEAT score showed a sensitivity of 0.56 and a specificity of 0.86. In comparison, both the HEART and TIMI scores (cut-off = 3) showed higher sensitivity (0.72), with specificity values of 0.72 and 0.63, respectively. CLINICAL TRIAL NUMBER: Not applicable.

conclusionThe SVEAT score may have potential as a rule-in tool for predicting 90-day MACE in emergency department patients presenting with acute chest pain, due to its higher specificity; however, this is accompanied by relatively low sensitivity, which limits its utility as a standalone screening tool.

Indexed as

Chest PainTroponin IAgedAge FactorsBiomarkersElectrocardiographyEmergency Service, HospitalFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesRisk AssessmentSensitivity and SpecificityBiomarkersTroponin IAcute coronary syndromeChest painEmergency departmentMajor adverse cardiac eventsSVEAT score

Identifiers

PMID42464131
PMCPMC13656573

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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.