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Articles Published Processes
11/6/2026 1:05:16 AM | Browse: 0 | Download: 0
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Received |
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2026-07-14 02:52 |
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Peer-Review Started |
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2026-07-14 23:58 |
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First Decision by Editorial Office Director |
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Return for Revision |
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2026-08-06 08:59 |
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Revised |
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2026-08-09 16:05 |
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Publication Fee Transferred |
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2026-09-07 02:33 |
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Second Decision by Editor |
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2026-09-21 02:06 |
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Second Decision by Editor-in-Chief |
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2026-09-21 04:53 |
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Final Decision by Editorial Office Director |
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2026-10-09 09:42 |
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Articles in Press |
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2026-10-09 09:42 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-10-27 07:35 |
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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 |
Medicine, Research & Experimental |
| Manuscript Type |
Retrospective Study |
| Article Title |
Integrating traditional Chinese medicine syndromes with clinical variables to predict lower extremity arterial disease in type 2 diabetes
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Ying-Wei Lv, Ai-Juan Jiang, Yu-Meng Geng, Min Hu, Yu-Qing Wang, Lin Ma, Nuo Shen and Jin-Dong Zhao |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Anhui Provincial Natural Science Foundation Project |
2308085MH307 |
| The "Basic-Clinical Integration" Special Project of Category A for 2025 of Anhui University of Chinese Medicine |
JCLCA2025024 |
| National Natural Science Foundation of China |
82505372 |
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| Corresponding Author |
Ai-Juan Jiang, PhD, Professor, Graduate School, Anhui University of Chinese Medicine, 350 Longzihu Road, Xinhua High-tech Zone, Hefei City, Anhui Province, P.R.China, Hefei 230012, Anhui Province, China. jiangaijuan@ahtcm.edu.cn |
| Key Words |
Machine learning; Diabetic lower extremity arterial disease; Integrated Chinese and Western medicine; Prediction model; XGBoost; Nomogram |
| Core Tip |
This study integrated Western medicine demographic and clinical characteristics, laboratory indicators, and traditional Chinese medicine syndrome features to construct prediction models for lower extremity arterial disease (LEAD) in type 2 diabetes mellitus using multiple machine learning algorithms. The XGBoost model based on integrated Western and Chinese medicine features exhibited the highest efficacy and has potential for the early identification and treatment of LEAD. |
| Publish Date |
2026-11-06 01:05 |
| Citation |
Lv YW, Jiang AJ, Geng YM, Hu M, Wang YQ, Ma L, Shen N, Zhao JD. Integrating traditional Chinese medicine syndromes with clinical variables to predict lower extremity arterial disease in type 2 diabetes. World J Diabetes 2026; 17(11): 125698
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| URL |
https://www.wjgnet.com/1948-9358/full/v17/i11/125698.htm |
| DOI |
https://doi.org/10.4239/wjd.125698 |
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.
