| For: | Punnose J. Maternal and neonatal outcomes according to the timing of diagnosis of gestational diabetes: A critical appraisal. World J Diabetes 2025; 16(10): 108254 [PMID: 41113499 DOI: 10.4239/wjd.v16.i10.108254] |
|---|---|
| URL: | https://www.wjgnet.com/1948-9358/full/v16/i10/108254.htm |
| Number | Citing Articles |
| 1 |
Anak Agung Ngurah Jaya Kusuma, Wiku Andonotopo, Muhammad Adrianes Bachnas, Wisnu Prabowo, Eric Edwin Yuliantara, Mochammad Besari Adi Pramono, Julian Dewantiningrum, Efendi Lukas, Nyoman Hariyasa Sanjaya, Anak Agung Gede Putra Wiradnyana, Khanisyah Erza Gumilar, Ernawati Darmawan, Muhammad Ilham Aldika Akbar, Dovy Djanas, Dudy Aldiansyah, Aloysius Suryawan, Ridwan Abdullah Putra, Theresia Monica Rahardjo, Rizna Tyrani Rumanti, Roland Frederik Lengkey, Anita Deborah Anwar, Cut Meurah Yeni, Nuswil Bernolian, Laksmana Adi Krista Nugraha, Waskita Ekamaheswara Kasumba Andanaputra, Wibisana Andika Krista Dharma. Redefining Blood Glucose Screening in Pregnancy: From Gestational Diabetes to a Gestational Dysglycemia Spectrum—A Systematic Review and Translational Case Proposal. Bangladesh Journal of Endocrinology and Metabolism 2026; 5(2) doi: 10.4103/bjem.bjem_14_26
|
| 2 |
Jing Li, Jihong Zhang, Chun Zhang, Xuxia Liang, Yanqun Lu, Hua Wu. Early-pregnancy fasting blood glucose and subsequent GDM define four distinct risk groups for adverse pregnancy outcomes: a cohort study of 15,245 women. Frontiers in Endocrinology 2026; 17 doi: 10.3389/fendo.2026.1936170
|
| 3 |
Jenifar Prashanthan, Amirthanathan Prashanthan. Machine Learning-Based Early Prediction of Gestational Diabetes Using First-Trimester Laboratory Parameters. Cureus 2026; doi: 10.7759/cureus.104782
|
| 4 |
Franco N. Lopez-Lopez, Rocio Villar-Taibo, Everardo J. Diaz-Lopez, Ana Cantón-Blanco, Maria Gemma Rodriguez-Carnero, Paula Andújar-Plata, Olaia Diaz-Trastoy, Maria Fernandez-Argueso, Eva Gómez-Vázquez, Miguel Angel Martinez-Olmos. Association of Pre-Gestational Obesity with Clinical Presentation and Perinatal Outcomes in Women with Gestational Diabetes Mellitus. Endocrines 2026; 7(3) doi: 10.3390/endocrines7030047
|
| 5 |
Jingxia Wei, Zhanyue Zheng, Yingjie Zhou, Shuchang Liu, Yu Feng, Tianao Sun, Yongjie Ma, Minglian Pan, Xinyu Yuan, Jinhao Wan, Yan Sun. Metals and metalloids signatures in early pregnancy suggest cadmium and arsenic as major mixture components associated with gestational diabetes mellitus risk. Environmental Pollution 2026; 410 doi: 10.1016/j.envpol.2026.129238
|
| 6 |
Fırat Aşır, Ebru Gökalp Özkorkmaz, Nilüfer Dönmezdil, Senem Çetin Duran, Fırat Şahin, Tuğcan Korak, Elif Ağaçayak. Altered Placental Ezrin Expression in Gestational Diabetes Mellitus: An Immunohistochemical and Bioinformatic Analysis. Diagnostics 2026; 16(15) doi: 10.3390/diagnostics16152404
|