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Articles Published Processes
6/11/2026 11:23:54 AM | Browse: 48 | Download: 194
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Received |
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2026-02-24 00:48 |
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Peer-Review Started |
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2026-02-25 02:02 |
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First Decision by Editorial Office Director |
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2026-03-03 09:22 |
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Return for Revision |
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2026-03-03 09:22 |
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Revised |
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2026-03-13 07:18 |
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Publication Fee Transferred |
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2026-03-15 14:33 |
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Second Decision by Editor |
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2026-04-10 02:48 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-04-17 05:45 |
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Articles in Press |
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2026-04-17 05:45 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-06-03 18:52 |
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Publish the Manuscript Online |
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2026-06-11 11:23 |
| 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 |
Retrospective Cohort Study |
| Article Title |
Dynamic glycemic exposure and trajectory profiling for incident diabetic kidney disease: A longitudinal cohort study
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Hui-Yu Zou, Hao Jiang, Xiao-Di Guo, Zhe-Yao Wen, Yi Shi, An-Dong Zhou, Man-Man Wang, Fen Xu and Meng-Yin Cai |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Science Foundation of China |
No. 82270942 |
| Natural Science Foundation of Guangdong Province |
No. 2026A1515012884 |
| Noncommunicable Chronic Diseases-National Science and Technology Major Project |
No. 2024ZD0523200 |
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| Corresponding Author |
Meng-Yin Cai, Chief Physician, PhD, Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou 510630, Guangdong Province, China. caimengyin@mail.sysu.edu.cn |
| Key Words |
Diabetic kidney disease; Type 2 diabetes mellitus; Time-weighted average glycated hemoglobin; Glycated hemoglobin trajectories; Glycemic control |
| Core Tip |
This study demonstrates that dynamic glycemic tracking using time-weighted average glycated hemoglobin (HbA1c) significantly outperforms static baseline measurements in predicting incident diabetic kidney disease (DKD) in type 2 diabetes. We identified a critical non-linear risk inflection at 7.0% HbA1c, beyond which renal risk escalates precipitously. Furthermore, longitudinal trajectory profiling revealed that rapid early correction of severe hyperglycemia is associated with an attenuated risk of long-term renal deterioration. These findings highlight the prognostic superiority of quantifying cumulative glucotoxicity and emphasize that early, intensive glycemic intervention may be crucial to overcome therapeutic inertia and potentially mitigate the risk of DKD. |
| Publish Date |
2026-06-11 11:23 |
| Citation |
Zou HY, Jiang H, Guo XD, Wen ZY, Shi Y, Zhou AD, Wang MM, Xu F, Cai MY. Dynamic glycemic exposure and trajectory profiling for incident diabetic kidney disease: A longitudinal cohort study. World J Diabetes 2026; 17(6): 120343
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| URL |
https://www.wjgnet.com/1948-9358/full/v17/i6/120343.htm |
| DOI |
https://doi.org/10.4239/wjd.120343 |
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