BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
8/14/2025 10:51:55 AM | Browse: 174 | Download: 612
 |
Received |
|
2025-03-12 05:17 |
 |
Peer-Review Started |
|
2025-03-12 07:46 |
 |
First Decision by Editorial Office Director |
|
2025-05-01 03:55 |
 |
Return for Revision |
|
2025-05-01 03:55 |
 |
Revised |
|
2025-05-14 16:49 |
 |
Publication Fee Transferred |
|
2025-05-19 09:30 |
 |
Second Decision by Editor |
|
2025-06-20 00:48 |
 |
Second Decision by Editor-in-Chief |
|
2025-06-26 08:47 |
 |
Final Decision by Editorial Office Director |
|
2025-06-30 10:00 |
 |
Articles in Press |
|
2025-06-30 10:00 |
 |
Edit the Manuscript by Language Editor |
|
|
 |
Typeset the Manuscript |
|
2025-08-04 00:41 |
 |
Publish the Manuscript Online |
|
2025-08-14 10:51 |
| 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: http://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 |
Observational Study |
| Article Title |
Performance of flash continuous glucose monitoring and glycemic marker correlations in Chinese pregnant women with non-type 1 diabetes
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Ling Lyu, Yi-Ling Huang, Yu Huang, Ze-Yu Wu, Fan Ping and Yu-Xiu Li |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National High Level Hospital Clinical Research Funding |
No. 2022-PUMCH-B-015 |
| Healthcare Quality and Safety Incubation Program of Peking Union Medical Foundation |
No. XHFY2406 |
|
| Corresponding Author |
Fan Ping, Associate Professor, MD, Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, No. 1 Shuai-Fu-Yuan Street, Dong-Cheng District, Beijing 100730, China. pingfan@pumch.cn |
| Key Words |
Diabetes; Continuous glucose monitoring; Hemoglobin A1c; Glycated albumin; Pregnancy |
| Core Tip |
This study demonstrates the reliability of the FreeStyle Libre H flash continuous glucose monitoring (CGM) system in pregnant women with gestational diabetes mellitus and type 2 diabetes mellitus, showing a low mean absolute relative difference of 7.96% compared to venous plasma glucose. Hemoglobin A1c (HbA1c) and glycated albumin (GA) showed significant linear or non-linear associations with CGM metrics, although both were influenced by gestational age and pregestational body mass index. In this study, flash CGM served as a validated reference for evaluating HbA1c and GA. HbA1c remained a reliable marker, while GA provided supplementary value for comprehensive glycemic assessment. |
| Publish Date |
2025-08-14 10:51 |
| Citation |
Lyu L, Huang YL, Huang Y, Wu ZY, Ping F, Li YX. Performance of flash continuous glucose monitoring and glycemic marker correlations in Chinese pregnant women with non-type 1 diabetes. World J Diabetes 2025; 16(8): 106967 |
| URL |
https://www.wjgnet.com/1948-9358/full/v16/i8/106967.htm |
| DOI |
https://dx.doi.org/10.4239/wjd.v16.i8.106967 |
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.