BPG is committed to discovery and dissemination of knowledge
Home / Archive / Volume 15, Issue 6
  • This Article
Peer-Review Report of This Article
CrossCheck and Google Search of This Article
Academic Rules and Norms of This Article
Supplementary Materials of This Article
Citation of this article
Corresponding Author of This Article
Research Domain of This Article
Article-Type of This Article
Open-Access Policy of This Article
Times Cited Counts in Google of This Article
Number of Hits and Downloads for This Article
  • Total Article Views (4411)
All Articles published online
The chart showing PDF series, HTML series, Figures (1-7) series, Tables (1-1) series.
Item 
Count 
PDF281
HTML2095
Figures (1-7)448
Tables (1-1)464
 Sum=3288
Publishing Process of This Article
The chart showing Browse series, Download series.
Item 
Count 
Browse139
Download742
 Sum=881
Jun 15, 2024 (publication date) through May 10, 2026
Times Cited of This Article
Journal Information of This Article
Publication Name
World Journal of Diabetes
ISSN
1948-9358
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Cited by in CrossRef
For: 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; 15(6): 1242-1253 [PMID: 38983822 DOI: 10.4239/wjd.v15.i6.1242]
URL: https://www.wjgnet.com/1948-9358/full/v15/i6/1242.htm
Number Citing Articles
1
Ying Gao, Meihui Zhang, Chen Xu, Birong Wu, Shan Qiao, Yong Cai, Fan Hu. Relationship between triglyceride-glucose index and stroke risk in middle-aged and older Chinese population: a national longitudinal study based on explainable machine learning. Diabetes Research and Clinical Practice 2025; 227: 112414 doi: 10.1016/j.diabres.2025.112414
2
Rawan AlSaad, Ali Elhenidy, Aliya Tabassum, Nour Odeh, Eman AboArqoub, Aya Odeh, Maya AlTamimi, Alaa Abd-alrazaq, Rajat Thomas, Mohammed Bashir, Javaid Sheikh. Artificial Intelligence in Gestational Diabetes Care: A Systematic Review. Journal of Diabetes Science and Technology 2025;  doi: 10.1177/19322968251355967
3
Zhi-Chen Xu, Bao-An Su, Ming-Qiang Lin, Jian-Cheng Li, Ju-hui Chen, Qing-Hua Xu, Meng-Ke Qu. A dynamic nomogram for predicting abdominal lymph node recurrence in patients with esophageal carcinoma. Scientific Reports 2025; 15(1) doi: 10.1038/s41598-025-97774-x
4
Yucheng Huo, Yuan Li, Xia Jin, Xuejing Kuang, Fang Li, Fenglan Sun, Ping Zhou, Risheng Wang. Development and Internal Validation of a Mid-Pregnancy Nomogram to Predict Large-for-Gestational-Age Infants in Women With Hyperglycemia in Pregnancy. Clinical and Experimental Obstetrics & Gynecology 2026; 53(4) doi: 10.31083/CEOG48617
5
Linping Wu, Shaochen Su, El-Sayed Salama, Xuexia Ma, Liyuan Chen, Yuanming Wang. Predicting plaque-gingivitis risk in schoolchildren using an interpretable machine learning model: a cross-sectional study. BMC Oral Health 2025; 25(1) doi: 10.1186/s12903-025-07245-y
6
Yiting Chen, Shuyu Li, Lanlan Xiang, Yitian Zhu, Yu Zeng, Yajun Chen, Tianying Zhong. Predictive Value of the second-Trimester Triglyceride-Glucose Index and Its Derived Indices for Macrosomia in Gestational Diabetes Mellitus. Diabetes, Metabolic Syndrome and Obesity 2026; : 1 doi: 10.2147/DMSO.S577687
7
Lan-Lan Xiang, Jie Feng, Shu-Yu Li, Yi-Tian Zhu, Ya-Jun Chen, Tian-Ying Zhong, Ye-Fei Zhu, Yu Zeng. Predictive ability of lipid indices for large-for-gestational-age infants in pregnant females with gestational diabetes mellitus. World Journal of Diabetes 2025; 16(7): 104306 doi: 10.4239/wjd.v16.i7.104306
Write to the Help Desk
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.