Evidence map›Paper›PMID 41692790›Full record

ArticleScientific reports2026

Validity of the 2019 European Society of Cardiology Pre-Test Probability (2019 ESC-PTP) for predicting obstructive coronary artery disease among Malaysians.

Mohd Ashraf Mohammad Rafee, Khairul Shafiq Ibrahim, Roqiah Fatmawati Abdul Kadir, Mohamed-Syarif Mohamed-Yassin, Noorhida Baharudin

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Article in Scientific reports, 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mohd Ashraf Mohammad RafeeDepartment of Primary Care Medicine, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh Campus, Jalan Hospital, 47000, Sungai Buloh, Selangor, Malaysia.
Khairul Shafiq IbrahimDepartment of Cardiology, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh, Selangor, Malaysia.
Roqiah Fatmawati Abdul KadirDepartment of Radiology, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh, Selangor, Malaysia.
Mohamed-Syarif Mohamed-YassinDepartment of Primary Care Medicine, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh Campus, Jalan Hospital, 47000, Sungai Buloh, Selangor, Malaysia.
Noorhida BaharudinDepartment of Primary Care Medicine, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh Campus, Jalan Hospital, 47000, Sungai Buloh, Selangor, Malaysia. noorhida8229@uitm.edu.my.ORCID http://orcid.org/0000-0002-8188-4148

Funding

Universiti Teknologi MARA, Faculty of Medicine Research Grant (FMRG) 600-TNCPI 5/3/DDF (MEDIC) (002/2024)
6 · The paper itself

Abstract

The 2019 European Society of Cardiology (ESC) guideline introduced a pre-test probability (PTP) tool to estimate the likelihood of obstructive coronary artery disease (CAD). Its performance has not been validated in the Malaysian population. This study aimed to validate this tool in this setting. A cross-sectional study was conducted from June 2023 to May 2024. PTP scores were calculated using the 2019 ESC-PTP tool and stratified as low (≤ 5%), moderate (> 5%–15%), and high (> 15%) risk. For diagnostic accuracy analysis, low scores were considered negative, while moderate-to-high scores were grouped as positive tests. Reference standards were ≥ 50% luminal stenosis on invasive coronary angiography (ICA), or a Coronary Artery Disease Reporting and Data System (CAD-RADS) 2.0 score of ≥ 3 on coronary computed tomography angiography (CCTA). Diagnostic performance was evaluated using sensitivity, specificity, positive and negative predictive values (PPV, NPV), likelihood ratios (PLR, NLR), area under the receiver operating characteristic curve (AUC), and overall diagnostic accuracy. Among 194 participants, 110 (56.7%) had obstructive CAD. The 2019 ESC-PTP tool demonstrated sensitivity of 95.5% (95% CI: 90.5–98.3) and specificity of 25.0% (95% CI: 16.6–34.9). PPV was 62.5% (95% CI: 55.0–69.6), NPV 80.8% (95% CI: 63.1–92.6), PLR 1.27 (95% CI: 1.11–1.45) and NLR 0.18 (95% CI: 0.07–0.46). The AUC was 0.794 (95% CI: 0.732–0.857) with an overall accuracy of 64.9% (95% CI: 58.2–71.7). The 2019 ESC-PTP tool demonstrates high sensitivity, making it reliable for excluding obstructive CAD in low-risk patients. Its limited specificity restricts its role in confirming disease, highlighting the need for further testing in moderate-to-high risk groups.

Indexed as

Coronary Artery DiseaseCardiologyComputed Tomography AngiographyCoronary AngiographyCross-Sectional StudiesFemaleHumansMalaysiaMaleMiddle AgedProbabilityROC CurveSensitivity and SpecificitySoutheast Asian People2019 ESC-PTPCoronary artery diseaseMalaysiaPre-test probabilityRisk prediction

Identifiers

PMID41692790
PMCPMC12996400

What Socratic holds

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LicenceCC BY-NC-ND
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