BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
9/11/2025 9:41:57 AM | Browse: 363 | Download: 513
 |
Received |
|
2024-12-24 03:47 |
|
Peer-Review Started |
|
2024-12-25 08:55 |
|
First Decision by Editorial Office Director |
|
2025-03-19 08:00 |
|
Return for Revision |
|
2025-03-19 08:00 |
|
Revised |
|
2025-04-18 09:27 |
|
Publication Fee Transferred |
|
2025-04-22 09:08 |
|
Second Decision by Editor |
|
2025-06-23 11:34 |
 |
Second Decision by Editor-in-Chief |
|
|
|
Final Decision by Editorial Office Director |
|
2025-08-11 07:55 |
|
Articles in Press |
|
2025-08-11 07:55 |
|
Edit the Manuscript by Language Editor |
|
|
|
Typeset the Manuscript |
|
2025-09-02 01:32 |
|
Publish the Manuscript Online |
|
2025-09-11 09:41 |
| 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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| 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 Study |
| Article Title |
Development and validation of a hypoglycemia risk prediction tool for hospitalized patients with type 2 diabetes mellitus treated with insulin
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Yao Zhang, Xi-Ling Hu, Wei-Ran Xu, Yan-Ming Chen, Xiao-Di Guo, Shu-Hong Liu and Ling-Ling Gao |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Medical Scientific Research Foundation of Guangdong Province of China |
A2023183 and A2024530 |
| Nursing Innovation Development Research Project |
YJYZ202304 |
| National Natural Science Foundation of China |
72204277 |
| Guangdong Basic and Applied Basic Research Foundation |
2025A1515012706 |
| 3rd Affiliated Hospital of Sun Yat-sen University, Clinical Research Program |
YHJH202404 |
|
| Corresponding Author |
Ling-Ling Gao, Professor, Faculty of Health Sciences and Sports, Macao Polytechnic University, MengTak Building, Rua de Luis Gonzaga Gomes, Macau , China. gaoll@mail.sysu.edu.cn |
| Key Words |
Hypoglycemia; Risk prediction tool; Type 2 diabetes mellitus; Insulin |
| Core Tip |
The hypoglycemia risk-prediction model was developed using the logistic regression and nomogram models. The model was validated and calibrated using the receiver operating characteristic curves and the Hosmer-Leme show goodness of fit test. The incidence of hypoglycemia was 44.9%. The model included 8 independent hypoglycemia risk factors. The hypoglycemia risk prediction model for hospitalized T2 diabetes mellitus patients treated with insulin showed high reliability and discrimination ability. |
| Publish Date |
2025-09-11 09:41 |
| Citation |
Zhang Y, Hu XL, Xu WR, Chen YM, Guo XD, Liu SH, Gao LL. Development and validation of a hypoglycemia risk prediction tool for hospitalized patients with type 2 diabetes mellitus treated with insulin. World J Diabetes 2025; 16(9): 104290 |
| URL |
https://www.wjgnet.com/1948-9358/full/v16/i9/104290.htm |
| DOI |
https://dx.doi.org/10.4239/wjd.v16.i9.104290 |
All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.
