Publication Name	World Journal of Diabetes
Manuscript ID	92404
Country	China

Category	Obstetrics & Gynecology
Manuscript Type	Retrospective Study
Article Title	Developing and validating a predictive model of delivering large-for-gestational-age infants among women with gestational diabetes mellitus
Manuscript Source	Invited Manuscript
All Author List	Yi-Tian Zhu, Lan-Lan Xiang, Ya-Jun Chen, Tian-Ying Zhong, Jun-Jun Wang and Yu Zeng
Funding Agency and Grant Number	Funding Agency Grant Number National Natural Science Foundation of China 81870546 Nanjing Medical Science and Technique Development Foundation YKK23151 Science and Technology Development Foundation Item of Nanjing Medical University NMUB20210117
Corresponding Author	Yu Zeng, PhD, Professor, Department of Clinical Laboratory, Women’s Hospital of Nanjing Medical University, Nanjing Women and Children’s Healthcare Hospital, No. 123 Tianfei Lane, Mochou Road, Qinhuan District, Nanjing 210003, Jiangsu Province, China. zengyu@njmu.edu.cn
Key Words	Large-for-gestational-age; Gestational diabetes mellitus; Predictive model; Nomogram; Triglyceride-glucose index
Core Tip	Gestational diabetes mellitus (GDM) is a global problem, and the prevalence of large-for-gestational-age (LGA) is increasing. Early prediction of LGA can enable timely intervention and improve pregnancy outcomes. We developed and validated a predictive nomogram for pregnant women with GDM at risk of delivering an LGA infant. Four demographic parameters and second-trimester maternal serum biochemical markers were identified. The nomogram effectively stratified women with GDM in their second trimester based on their risk of delivering LGA infants.
Citation	Zhu YT, Xiang LL, Chen YJ, Zhong TY, Wang JJ, Zeng Y. Developing and validating a predictive model of delivering large-for-gestational-age infants among women with gestational diabetes mellitus. World J Diabetes 2024; In press

Received	2024-01-25 09:10
Peer-Review Started	2024-01-25 09:10
To Make the First Decision
Return for Revision	2024-02-27 04:06
Revised	2024-03-05 14:40
Second Decision	2024-04-17 09:11
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2024-04-25 08:14
Articles in Press	2024-04-25 08:14
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-9358 (online)
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