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Articles Published Processes
11/6/2026 1:05:20 AM | Browse: 2 | Download: 1
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Received |
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2026-06-01 07:51 |
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Peer-Review Started |
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2026-06-01 23:58 |
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First Decision by Editorial Office Director |
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Return for Revision |
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2026-07-20 08:08 |
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Revised |
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2026-08-02 14:11 |
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Publication Fee Transferred |
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2026-08-22 14:40 |
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Second Decision by Editor |
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2026-09-10 02:39 |
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Second Decision by Editor-in-Chief |
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2026-09-11 03:44 |
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Final Decision by Editorial Office Director |
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2026-09-23 09:03 |
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Articles in Press |
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2026-09-23 09:03 |
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Edit the Manuscript by Language Editor |
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2026-09-29 03:21 |
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Typeset the Manuscript |
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2026-10-30 03:57 |
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Publish the Manuscript Online |
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2026-11-06 01:05 |
| 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. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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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 |
Endocrinology & Metabolism |
| Manuscript Type |
Systematic Reviews |
| Article Title |
Potentially modifiable predictors in models for undiagnosed and incident type 2 diabetes: A systematic review
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| 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 |
| ORCID |
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| 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 |
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| 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. |
| Publish Date |
2026-11-06 01:05 |
| 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; 17(11): 123851
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| URL |
https://www.wjgnet.com/1948-9358/full/v17/i11/123851.htm |
| DOI |
https://doi.org/10.4239/wjd.123851 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.
