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Publication Name World Journal of Diabetes
Manuscript ID 123851
DOI 10.4239/wjd.123851
Country China
Category Endocrinology & Metabolism
Manuscript Type Systematic Reviews
Article Title Potentially modifiable predictors in models for undiagnosed and incident type 2 diabetes: A systematic review
Manuscript Source Unsolicited Manuscript
All Author List Xue-Fei Zhao, Shan-Shan Tang, Hang-Yu Ji, Xue-Dong An, Xiao-Min Kang, Lin-Lin Jiang and Feng-Mei Lian
Funding Agency and Grant Number
Funding Agency Grant Number
National Natural Science Foundation of China T2341018
the Science and Technology Innovation Project of the Chinese Academy of Traditional Chinese Medicine CI2023C049YLL
Corresponding Author Feng-Mei Lian, Professor, Institute of Metabolic Diseases, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, No.5, beixiange Xicheng District, Beijing 100053, China. lfm565@sohu.com
Key Words Type 2 diabetes mellitus; Prediction models; Potentially modifiable predictors; Risk stratification; Systematic review
Core Tip This systematic review of 82 studies developing type 2 diabetes mellitus prediction models (2016-2025) shows that while modifiable risk factors (e.g., obesity, smoking, physical inactivity) are increasingly included, most models suffer from high risk of bias, inappropriate variable selection, and lack external validation. Future models must prioritize rigorous methodology and clinically actionable predictors to improve early detection and prevention.
Citation Zhao XF, Tang SS, Ji HY, An XD, Kang XM, Jiang LL, Lian FM. Potentially modifiable predictors in models for undiagnosed and incident type 2 diabetes: A systematic review. World J Diabetes 2026; In press
PDF 123851-in-press.pdf
Received
2026-06-01 07:51
Peer-Review Started
2026-06-01 23:58
First Decision by Editorial Office Director
Return for Revision
2026-07-20 08:08
Revised
2026-08-02 14:11
Publication Fee Transferred
2026-08-22 14:40
Second Decision by Editor
2026-09-10 02:39
Second Decision by Editor-in-Chief
2026-09-11 03:44
Final Decision by Editorial Office Director
2026-09-23 09:03
Articles in Press
2026-09-23 09:03
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 1948-9358 (online)
Open Access This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
Copyright ©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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