JPJing Pan

Jing Pan

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

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Previous Organizations / Institutes

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Jing Pan has a total of 15 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Research Progress of PCNA in Reproductive System Diseases

    by Jing Pan, Jianwei Zhang

    Reproductive system diseases have become a public health problem that endangers human physical and mental health. The causes of reproductive diseases are complex and diverse. From a biological point of view, abnormal cell proliferation may affect important physiological functions of reproductive organs and cause various gynecological or andrological diseases. Proliferating cell nuclear antigen (PCNA) is the most commonly used indicator for detecting cell proliferation activity. The up- or downregulation of its expression is of great significance in reproductive system diseases. This review summarizes the significance of the latest research on PCNA expression in reproductive system diseases.


  • Open Access

    A comparison of the efficacy and safety of complementary and alternative therapies for polycystic ovary syndrome A protocol for network meta-analysis

    by Jing Pan, Shan Xiang, Shuangqian Dong, Xiuyun Qin, Jianwei Zhang

    Background: With the increase in the incidence of Polycystic Ovary Syndrome (PCOS) over the years, restoring ovulation function has become one of the important contents of reproductive medicine research today. PCOS affects reproductive ability and harms physical and mental health. Studies show both complementary and alternative therapies to be effective in treating PCOS. However, the consistency of the conclusion is still inadequated. In view of this, we will develop a research to evaluate the effectiveness and safety of complementary and alternative therapies for PCOS. We therefore carry on a study protocol for a proposed network meta-analysis (NMA) and systematic review on PCOS.Methods: The following electronic bibliographic database will be searched: PubMed, Chinese National Knowledge Infrastructure (CNKI), VIP database, Wanfang database, The Cochrane Library, EMBASE and Web of Science from inception till 31 December2020. A search at the World Health Organization (WHO) International Clinical Trials Registry Platform will also be done. Two researchers will independently screen literature, extract data and assess the risk of bias of included studies. Analysis will be performed on included studies using the NMA technique. Data will be analyzed using ADDIS 1.16.8 and STATA 15.0.Results: This work will evaluate the safety and effectiveness of alternative and complementary therapies used in the treatment of PCOS.Conclusion: The results of this study will provide reliable evidence for clinicians in the field to build on for best practices in effective interventions (complementary and alternative therapies) for PCOS.


  • Open Access

    Glycated albumin is a potential diagnostic tool for diabetes mellitus

    by Chun Yang, Hanbin Li, Zhihai Wang, Wanying Zhang, Kun Zhou, Jianhua Meng, Ying Zhao, Jing Pan, Xiaofeng Lv, Hongyan Liang, et al.

    Using a community-based population cross-sectional study, we investigated the validity of an enzymatic method for glycated albumin (GA) measurements and evaluated its utility as a diagnostic tool for diabetes mellitus (DM). In total, 1,211 participants from the city of Harbin, People's Republic of China, were enrolled in the study. A receiver operating characteristic (ROC) analysis for GA, fasting plasma glucose (FPG) and haemoglobin A1c (HbA1c) measurements in diagnosed and undiagnosed DM were compared, based on a definition of DM using 1999 WHO criteria. We also estimated the correlation among GA, HbA1c and other clinical characteristics. Significant and positive correlations of fasting serum GA with FPG (r 50.8097) and HbA1c (r 50.8976) were found in participants enrolled in the study. ROC analysis for GA predicting undiagnosed DM with a cut-off point of 15.7% was similar to that of FPG and HbA1c. Therefore, our data indicate that GA is a potential tool for DM diagnosis.