Publication Name	World Journal of Cardiology
Manuscript ID	120747
Country	United States

Category	Cardiac & Cardiovascular Systems
Manuscript Type	Systematic Reviews
Article Title	Machine learning integration in microRNA-based markers for cardiovascular diseases: A systematic review
Manuscript Source	Unsolicited Manuscript
All Author List	Apurva Popat, Srinivasulu Sathipati and Param Sharma
Funding Agency and Grant Number
Corresponding Author	Apurva Popat, MD, Department of Cardiology, Sanford Health, Marshfield Clinic, 1000 N Oak Ave, Marshfield, WI, 54449, Marshfield, WI 54449, United States. drapurvapopat@gmail.com
Key Words	MicroRNAs; Cardiovascular diseases; Machine learning; Coronary artery disease; Acute myocardial infarction
Core Tip	Machine learning integration with miRNA profiles demonstrates promising discriminative performance (area under the curve-receiver operating characteristic often exceeding 0.80) for diagnosing and differentiating subtypes of cardiovascular diseases, including acute myocardial infarction, coronary artery disease, hypertension (HTN) subtypes, post-operative atrial fibrillation after coronary artery bypass grafting, and pulmonary HTN. However, the current evidence is limited by small-to-moderate sample sizes, predominant reliance on internal validation only, and lack of assessment of calibration, incremental value over established biomarkers (e.g., troponin), and standardization of pre-analytical and analytical methods. Large-scale prospective studies with external validation and rigorous standardization are essential before these approaches can be translated into routine clinical practice.
Citation	Popat A, Sathipati S, Sharma P. Machine learning integration in microRNA-based markers for cardiovascular diseases: A systematic review. World J Gastroenterol 2026; In press

Received	2026-03-09 02:11
Peer-Review Started	2026-03-09 02:12
First Decision by Editorial Office Director	2026-03-20 10:45
Return for Revision	2026-03-20 10:45
Revised	2026-04-03 09:00
Publication Fee Transferred	2026-04-04 03:44
Second Decision by Editor	2026-05-20 02:38
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-05-20 07:01
Articles in Press	2026-05-20 07:01
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1949-8462 (online)
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Copyright	©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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