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Publication Name World Journal of Methodology
Manuscript ID 116022
Country India
Received
2025-11-02 12:32
Peer-Review Started
2025-11-02 12:32
First Decision by Editorial Office Director
2025-12-17 09:29
Return for Revision
2025-12-17 09:29
Revised
2025-12-22 14:47
Publication Fee Transferred
Second Decision by Editor
2026-01-28 02:37
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-01-28 12:37
Articles in Press
2026-01-28 12:37
Edit the Manuscript by Language Editor
Typeset the Manuscript
2026-03-30 12:17
Publish the Manuscript Online
2026-07-10 10:11
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: http://creativecommons.org/licenses/by-nc/4.0/
Copyright ©The Author(s) 2026. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Gastroenterology & Hepatology
Manuscript Type Observational Study
Article Title Do bots provide correct and adequate guidance regarding acidity: A blinded comparison rated by patients and physicians
Manuscript Source Invited Manuscript
All Author List Kartikay Goyal, Manjeet Kumar Goyal, Varna Taranikanti, Praneet Wander, Rishi Chowdhary, Shivam Kalra, Gargi Prashar, Ashita Rukmini Vuthaluru and Omesh Goyal
ORCID
Author(s) ORCID Number
Manjeet Kumar Goyal http://orcid.org/0000-0002-5511-2099
Rishi Chowdhary http://orcid.org/0000-0002-3075-0684
Omesh Goyal http://orcid.org/0000-0002-6347-0988
Funding Agency and Grant Number
Corresponding Author Omesh Goyal, Professor, Department of Gastroenterology, Dayanand Medical College and Hospital, Tagore Nagar, Ludhiana 141001, Punjab, India. goyalomesh@yahoo.co.in
Key Words Large language models; Gastroesophageal reflux; Patient education; Empathy; Actionability
Core Tip This is among the first head-to-head evaluations of ChatGPT-5, Gemini-2.5, and Claude-4 for patient education on acidity (gastroesophageal reflux disease). Physicians rated Gemini-2.5 and Claude-4 highest in accuracy, empathy, and actionability, while patients appreciated ChatGPT-5’s readability. The study underscores trade-offs between clarity and clinical richness and highlights how large language models can complement but not replace clinician-guided patient education.
Publish Date 2026-07-10 10:11
Citation

Goyal K, Goyal MK, Taranikanti V, Wander P, Chowdhary R, Kalra S, Prashar G, Vuthaluru AR, Goyal O. Do bots provide correct and adequate guidance regarding acidity: A blinded comparison rated by patients and physicians. World J Methodol 2026; 16(3): 116022

URL https://www.wjgnet.com/2222-0682/full/v16/i3/116022.htm
DOI https://doi.org/10.5662/wjm.v16.i3.116022
Full Article (PDF) WJM-16-116022-with-cover.pdf
STROBE Statement 116022-STROBE-statement.pdf
Manuscript File 116022_Auto_Edited_022139-YJP.docx
Answering Reviewers 116022-answering-reviewers.pdf
Audio Core Tip 116022-audio.mp4
Biostatistics Review Certificate 116022-biostatistics-statement.pdf
Conflict-of-Interest Disclosure Form 116022-conflict-of-interest-statement.pdf
Copyright License Agreement 116022-copyright-assignment.pdf
Signed Informed Consent Form(s) or Document(s) 116022-informed-consent-statement.pdf
Institutional Review Board Approval Form or Document 116022-institutional-review-board-statement.pdf
Non-Native Speakers of English Editing Certificate 116022-non-native-speakers.pdf
Supplementary Material 116022-supplementary-material.pdf
Peer-review Report 116022-peer-reviews.pdf
Scientific Misconduct Check 116022-scientific-misconduct-check.png
Scientific Editor Work List 116022-scientific-editor-work-list.pdf
CrossCheck Report 116022-crosscheck-report.pdf