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8/4/2025 12:11:20 PM | Browse: 7 | Download: 28
Publication Name World Journal of Methodology
Manuscript ID 102290
Country United States
Received
2024-10-14 00:41
Peer-Review Started
2024-10-18 00:51
To Make the First Decision
Return for Revision
2025-02-14 06:18
Revised
2025-03-15 12:16
Second Decision
2025-04-07 02:42
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2025-04-07 08:52
Articles in Press
2025-04-07 08:52
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2025-05-30 12:54
Publish the Manuscript Online
2025-08-04 12:11
ISSN 2222-0682 (online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Copyright © The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Methodology
Manuscript Type Systematic Reviews
Article Title Accuracy of artificial intelligence in meta-analysis: A comparative study of ChatGPT 4.0 and traditional methods in data synthesis
Manuscript Source Invited Manuscript
All Author List Aman Goyal, Muhammad Daoud Tariq, Areeba Ahsan, Muhammad Hamza Khan, Amna Zaheer, Hritvik Jain, Surabhi Maheshwari and Andrei Brateanu
ORCID
Author(s) ORCID Number
Aman Goyal http://orcid.org/0000-0001-8062-5657
Funding Agency and Grant Number
Corresponding Author Aman Goyal, MD, Department of Internal Medicine, Seth GS Medical College and KEM Hospital, Acharya Donde Marg, Mumbai 400012, Maharashtra, India. amanmgy@gmail.com
Key Words ChatGPT; Artificial intelligence; Large language model; Meta-analysis; Statistical analysis; Methodology; Cardiology
Core Tip This study explored the potential of using ChatGPT 4.0 to conduct meta-analyses. Five meta-analyses were systematically selected. ChatGPT 4.0 was used to perform meta-analyses on the extracted data, and the results were compared with the original meta-analyses. The results generated by ChatGPT 4.0 showed high concordance with those of the original meta-analyses. For most outcomes, the effect measures and p-values generated by ChatGPT 4.0 closely matched those of the original studies. Our findings suggest the potential of ChatGPT 4.0 in conducting meta-analyses in cardiology.
Publish Date 2025-08-04 12:11
Citation <p>Goyal A, Tariq MD, Ahsan A, Khan MH, Zaheer A, Jain H, Maheshwari S, Brateanu A. Accuracy of artificial intelligence in meta-analysis: A comparative study of ChatGPT 4.0 and traditional methods in data synthesis. <i>World J Methodol</i> 2025; 15(4): 102290</p>
URL https://www.wjgnet.com/2222-0682/full/v15/i4/102290.htm
DOI https://dx.doi.org/10.5662/wjm.v15.i4.102290
Full Article (PDF) WJM-15-102290-with-cover.pdf
PRISMA 2009 Checklist 102290-PRISMA-2009-Checklist.pdf
Manuscript File 102290_Auto_Edited_033459.docx
Answering Reviewers 102290-answering-reviewers.pdf
Audio Core Tip 102290-audio.m4a
Biostatistics Review Certificate 102290-biostatistics-statement.pdf
Conflict-of-Interest Disclosure Form 102290-conflict-of-interest-statement.pdf
Copyright License Agreement 102290-copyright-assignment.pdf
Supplementary Material 102290-supplementary-material.pdf
Peer-review Report 102290-peer-reviews.pdf
Scientific Editor Work List 102290-scientific-editor-work-list.pdf
CrossCheck Report 102290-crosscheck-report.pdf