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Publication Name World Journal of Diabetes
Manuscript ID 118110
Country India
Received
2025-12-24 02:23
Peer-Review Started
2025-12-24 09:14
First Decision by Editorial Office Director
2026-02-10 09:18
Return for Revision
2026-02-10 09:18
Revised
2026-02-12 06:44
Publication Fee Transferred
Second Decision by Editor
2026-03-10 02:50
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-03-10 09:39
Articles in Press
2026-03-10 09:39
Edit the Manuscript by Language Editor
2026-03-16 11:25
Typeset the Manuscript
2026-07-22 08:34
Publish the Manuscript Online
2026-08-05 07:53
ISSN 1948-9358 (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 ©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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 Biochemical Research Methods
Manuscript Type Correspondence
Article Title Enhancing the predictive value of body composition and adipokine assessment for gestational diabetes mellitus risk
Manuscript Source Invited Manuscript
All Author List Sachin Bhavthankar, Ajay M Gavkare and Basavraj S Nagoba
ORCID
Author(s) ORCID Number
Sachin Bhavthankar http://orcid.org/0009-0001-6704-808X
Ajay M Gavkare http://orcid.org/0000-0003-4711-5596
Basavraj S Nagoba http://orcid.org/0000-0001-5625-3777
Funding Agency and Grant Number
Corresponding Author Basavraj S Nagoba, PhD, Professor, Department of Microbiology, Maharashtra Institute of Medical Sciences and Research (Medical College), Vishwanathpuram, Ambajogai Road, Latur 413531, Maharashtra, India. dr_bsnagoba@yahoo.com
Key Words Gestational diabetes mellitus; Body composition; Adipokines; Fat mass percentage; Visceral fat area; Dynamic gestational weight gain; Lifestyle factors; Risk prediction
Core Tip Current risk assessment for gestational diabetes mellitus frequently overlooks the distinction between different fat compartments. While fat mass percentage is a vital marker, its predictive power is maximized when combined with visceral fat area and dynamic metabolic indicators. Establishing a comprehensive evaluation framework that includes lifestyle factors and longitudinal weight tracking will bridge existing gaps in prenatal care, allowing for more accurate identification of high-risk individuals and earlier clinical intervention.
Publish Date 2026-08-05 07:53
Citation

Bhavthankar S, Gavkare AM, Nagoba BS. Enhancing the predictive value of body composition and adipokine assessment for gestational diabetes mellitus risk. World J Diabetes 2026; 17(8): 118110

URL https://www.wjgnet.com/1948-9358/full/v17/i8/118110.htm
DOI https://doi.org/10.4239/wjd.118110
Full Article (PDF) WJD-17-118110-with-cover.pdf
Manuscript File 118110_Auto_Edited_011650.docx
Answering Reviewers 118110-answering-reviewers.pdf
Audio Core Tip 118110-audio.mp3
Conflict-of-Interest Disclosure Form 118110-conflict-of-interest-statement.pdf
Copyright License Agreement 118110-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate 118110-non-native-speakers.pdf
Peer-review Report 118110-peer-reviews.pdf
Scientific Misconduct Check 118110-scientific-misconduct-check.png
Scientific Editor Work List 118110-scientific-editor-work-list.pdf
CrossCheck Report 118110-crosscheck-report.pdf