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2023 Vol. 5, No. 9

Preplanned Studies
Optimal Gestational Weight Gain for Women with Gestational Diabetes Mellitus — China, 2011–2021
Jinlang Lyu, Yin Sun, Yuelong Ji, Nana Liu, Suhan Zhang, Hang Lin, Yaxin Wang, Xuanjin Yang, Shuai Ma, Na Han, Yang Mi, Dan Zheng, Zhifen Yang, Hongping Zhang, Yan Jiang, Liangkun Ma, Haijun Wang
2023, 5(9): 189-193. doi: 10.46234/ccdcw2023.034
Abstract(6996) HTML (227) PDF 466KB(31)
Abstract:
What is already known about this topic? Joint effect

s of gestational weight gain (GWG) and hyperglycemia on adverse pregnancy outcomes suggest that lower optimal GWG is optimal for women with gestational diabetes mellitus (GDM). However, there is st...

Hematological Parameters in the First Trimester and the Risk of Gestational Diabetes Mellitus — Beijing, China, 2017–2020
Xinyi Lyu, Jiajing Jia, Haishan Yang, Yuzhi Deng, Hanbin Wu, Shuo Wang, Chuanyu Zhao, Jueming Lei, Xiaoxuan Zou, Ying Yang
2023, 5(9): 194-200. doi: 10.46234/ccdcw2023.035
Abstract(5167) HTML (247) PDF 319KB(16)
Abstract:
What is already known about this topic? Hematologica

l parameters may indicate the presence of chronic low-grade inflammation and increasing viscosity, which are involved in the pathological processes of gestational diabetes mellitus (GDM). However, ...

Knowledge of Cervical Cancer and HPV, and Willingness to Receive HPV Vaccination Among 20–45-Year-Old Women — Six Provinces, China, 2018
Di Gao, Gengli Zhao, Jiangli Di, Xiaosong Zhang, Linhong Wang
2023, 5(9): 201-205. doi: 10.46234/ccdcw2023.036
Abstract(6547) HTML (641) PDF 270KB(32)
Abstract:
What is already known about this topic? Cervical can

cer is a significant public health problem with approximately 570,000 cases and 311,000 deaths occurring in 2018 globally. It is imperative to raise awareness of cervical cancer and human papilloma...

Methods and Applications
An Improved Training Algorithm Based on Ensemble Penalized Cox Regression for Predicting Absolute Cancer Risk
Liyuan Liu, Fu Yang, Yeye Fan, Chunyu Kao, Fei Wang, Lixiang Yu, Yong He, Jiadong Ji, Zhigang Yu
2023, 5(9): 206-212. doi: 10.46234/ccdcw2023.037
Abstract(4711) HTML (262) PDF 1011KB(32)
Abstract:
Introduction Biases in can

cer incidence characteristics have led to significant imbalances in databases constructed by prospective cohort studies. Since they use imbalanced databases, many traditional algorithms for training cancer risk prediction m...