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Publication Name World Journal of Diabetes
Manuscript ID 116772
Country China
Category Endocrinology & Metabolism
Manuscript Type Retrospective Cohort Study
Article Title Prediction model for rapid estimated glomerular filtration rate decline in type 2 diabetes mellitus
Manuscript Source Unsolicited Manuscript
All Author List Peng Huang, Xue-Qiong Qin, Qing Huang, Si-Dan Wang, Yuan-Yuan Wu, Xiu-Rong Huang and Xu Lin
Funding Agency and Grant Number
Corresponding Author Xu Lin, Key Laboratory of Medical Research Basic Guarantee for Immune-Related Diseases Research of Guangxi, The Affiliated Hospital of Youjiang Medical University for Nationalities, 18th Zhongshan 2nd road, Baise 533000, Guangxi Zhuang Autonomous Region, China. yyfylsj@163.com
Key Words Type 2 diabetes mellitus; Estimated glomerular filtration rate; Rapid decline; Risk factors; Prediction model; Nomogram; Machine learning
Core Tip This study established a nomogram for risk stratification of rapid decline in estimated glomerular filtration rate in type 2 diabetes mellitus patients with established kidney involvement. The model integrates cardiovascular symptoms, metabolic indicators, and renal biomarkers, demonstrating high discrimination and strong clinical practicality. This tool enables identification of high-risk subgroups who would benefit from intensified monitoring and intervention to slow kidney function deterioration.
Citation Huang P, Qin XQ, Huang Q, Wang SD, Wu YY, Huang XR, Lin X. Prediction model for rapid estimated glomerular filtration rate decline in type 2 diabetes mellitus. World J Diabetes 2026; In press
Received
2025-11-24 02:42
Peer-Review Started
2025-11-28 05:50
First Decision by Editorial Office Director
2025-12-12 07:58
Return for Revision
2025-12-12 07:58
Revised
2025-12-24 15:24
Publication Fee Transferred
2025-12-29 09:41
Second Decision by Editor
2026-01-27 02:42
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-02-03 07:35
Articles in Press
2026-02-03 07:35
Edit the Manuscript by Language Editor
Typeset the Manuscript
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: http://creativecommons.org/Licenses/by-nc/4.0/
Copyright © The Author(s) 2026. Published by Baishideng Publishing Group Inc. All rights reserved.
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