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188 results on '"Ding, Guoyong"'

19. Clinical features of 162 fatal cases of COVID-19: a multi-center retrospective study

Author

Zhou, Xianlong, primary, Ding, Guoyong, additional, Fang, Qing, additional, Guo, Jun, additional, Yang, Luyu, additional, Wang, Ping, additional, Fu, Shou-Zhi, additional, Li, Ang, additional, Xia, Jian, additional, Yu, Jiangtao, additional, Xia, Jianyou, additional, Ma, Min, additional, Hu, Zhuanzhuan, additional, Huang, Lei, additional, Liu, Ruining, additional, Jiang, Cheng, additional, Li, Shaoping, additional, Yu, Mingxia, additional, Xu, Xizhu, additional, Zhao, Yan, additional, Hu, Quan, additional, Xing, Weijia, additional, and Zhao, Zhigang, additional

Published
2022
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20. Human-to-human transmission of Chlamydia psittaci in China, 2020: an epidemiological and aetiological investigation

Author

Zhang, Zhenjie, primary, Zhou, Hong, additional, Cao, Huae, additional, Ji, Jingkai, additional, Zhang, Rongqiang, additional, Li, Wenxin, additional, Guo, Hongfeng, additional, Chen, Long, additional, Ma, Chuanmin, additional, Cui, Mingxue, additional, Wang, Jing, additional, Chen, Hao, additional, Ding, Guoyong, additional, Yan, Chengxin, additional, Dong, Liang, additional, Holmes, Edward C, additional, Meng, Ling, additional, Hou, Peiqiang, additional, and Shi, Weifeng, additional

Published
2022
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28. Arbidol is associated with increased in-hospital mortality among 109 patients with severe COVID-19: A multicenter, retrospective study

Author

Zhou, Xianlong, primary, Hou, Haifeng, additional, Yang, Luyu, additional, Ding, Guoyong, additional, Wei, Tao, additional, Li, Cancan, additional, Heng, Yuanyuan, additional, Liu, Ruining, additional, Ma, Min, additional, Hu, Zhuanzhuan, additional, Huang, Lei, additional, Xu, Xizhu, additional, Hu, Quan, additional, Zhao, Yan, additional, Xing, Weijia, additional, and Zhao, Zhigang, additional

Published
2021
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29. Additional file 1 of The association between extreme temperature and pulmonary tuberculosis in Shandong Province, China, 2005–2016: a mixed method evaluation

Author

Chen, Dongzhen, Lu, Hua, Zhang, Shengyang, Yin, Jia, Liu, Xuena, Zhang, Yixin, Dai, Bingqin, Li, Xiaomei, and Ding, Guoyong

Abstract

Additional file 1: Figure S1. Sensitivity analysis of the overall pooled extreme high temperature study. Figure S2. Sensitivity analysis of the overall pooled extreme low temperature study.

Published
2021
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31. Glycomics: Immunoglobulin GN-glycosylation associated with mammary gland hyperplasia in women

Author

Meng, Zixiu, Li, Cancan, Ding, Guoyong, Cao, Weijie, Xu, Xizhu, Heng, Yuanyuan, Deng, Yang, Li, Yuejin, Zhang, Xiaoyu, Li, Dong, Wang, Wei, Wang, Youxin, Xing, Weijia, Hou, Haifeng, Meng, Zixiu, Li, Cancan, Ding, Guoyong, Cao, Weijie, Xu, Xizhu, Heng, Yuanyuan, Deng, Yang, Li, Yuejin, Zhang, Xiaoyu, Li, Dong, Wang, Wei, Wang, Youxin, Xing, Weijia, and Hou, Haifeng

Abstract

Mammary gland hyperplasia (MGH) is very common, especially among young and middle-aged women. New diagnostics and biomarkers for MGH are needed for rational clinical management and precision medicine. We report, in this study, new findings using a glycomics approach, with a focus on immunoglobulin G (IgG) N-glycosylation. A cross-sectional study was conducted in a community-based population sample in Beijing, China. A total of 387 participants 40-65 years of age were enrolled in this study, including 194 women with MGH (cases) and 193 women who had no MGH (controls). IgG N-glycans were characterized in the serum by ultra-performance liquid chromatography. The levels of the glycan peaks (GPs) GP2, GP5, GP6, and GP7 were lower in the MGH group compared with the control group, whereas GP14 was significantly higher in the MGH group (p < 0.05). A predictive model using GP5, GP21, and age was established and a receiver operating characteristic curve analysis was performed. The sensitivity and specificity of the model for MGH was 61.3% and 63.2%, respectively, likely owing to receptor mechanisms and/or inflammation regulation. To the best of our knowledge, this is the first study reporting on an association between IgG N-glycosylation and MGH. We suggest person-to-person variations in IgG N-glycans and their combination with multiomics biomarker strategies offer a promising avenue to identify novel diagnostics and individuals at increased risk of MGH.

Published
2020

36. The effectiveness of antiviral treatment in severe COVID-19 patients in Wuhan: a retrospective cohort study

Author

Zhou, Xianlong, primary, Ding, Guoyong, additional, Yang, Luyu, additional, Liu, Ruining, additional, Hou, Haifeng, additional, Wang, Ping, additional, Ma, Min, additional, Hu, Zhuanzhuan, additional, Huang, Lei, additional, Xu, Xizhu, additional, Hu, Quan, additional, Zhao, Yan, additional, Xing, Weijia, additional, and Zhao, Zhigang, additional

Published
2020
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37. Clinical features of 162 fatal cases of COVID-19: a multi-center, retrospective study

Author

Zhou, Xianlong, primary, Ding, Guoyong, additional, Fang, Qing, additional, Guo, Jun, additional, Yang, Luyu, additional, Wang, Ping, additional, Fu, Shouzhi, additional, Li, Ang, additional, Xia, Jian, additional, Yu, Jiangtao, additional, Xia, Jianyou, additional, Ma, Min, additional, Hu, Zhuanzhuan, additional, Huang, Lei, additional, Liu, Ruining, additional, Jiang, Cheng, additional, Li, Shaoping, additional, Yu, Mingxia, additional, Xu, Xizhu, additional, Zhao, Yan, additional, Hu, Quan, additional, Xing, Weijia, additional, and Zhao, Zhigang, additional

Published
2020
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39. The Outbreak of Coronavirus Disease 2019 Interfered with Influenza in Wuhan

Author

Zhou, Xianlong, primary, Ding, Guoyong, additional, Shu, Ting, additional, Fu, Shouzhi, additional, Tong, Weiwei, additional, Tu, Xiaopeng, additional, Li, Shunqing, additional, Wu, Di, additional, Qiu, Yang, additional, Yu, Jiangtao, additional, Cao, Song, additional, Jiang, Cheng, additional, Ma, Haoli, additional, Li, Shaoping, additional, Xia, Jian, additional, Zhao, Zhigang, additional, Peng, Zhiyong, additional, Yuan, Yufeng, additional, Yu, Mingxia, additional, Li, Yirong, additional, Li, Zhiqiang, additional, Xing, Weijia, additional, Zhou, Xi, additional, and Zhou, Yan, additional

Published
2020
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40. Machine Learning-Based Decision Model to Distinguish between COVID-19 and Influenza: A Retrospective, Two-Centered, Diagnostic Study

Author

Zhou, Xianlong, primary, Liu, Jie, additional, Yu, Mingxia, additional, Xing, Weijia, additional, Li, Shaoping, additional, Ding, Guoyong, additional, Chen, Legao, additional, Zhang, Jun, additional, Liu, Tanghai, additional, Tong, Weiwei, additional, Jiang, Cheng, additional, Ma, Haoli, additional, Zhao, Zhigang, additional, Fu, Shouzhi, additional, Xia, Jian, additional, Wang, Zhichao, additional, and Zhou, Yan, additional

Published
2020
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43. Maternal Body Mass Index and Risk of Congenital Heart Defects in Infants: A Dose-Response Meta-Analysis

Author

Liu, Xuezhen, Ding, Guoyong, Yang, Weili, Feng, Xia, Li, Yuejin, Liu, Huamin, Zhang, Qianqian, Ji, Long, and Li, Dong

Subjects
Article Subject
Abstract

Objective. The exact shape of the dose-response relationship between maternal body mass index (BMI) and the risk of congenital heart defects (CHDs) in infants has not been clearly defined yet. This study aims to further clarify the relationship between maternal obesity and the risk of CHDs in infants by an overall and dose-response meta-analysis. Methods. PubMed, Embase, and Web of Science databases were searched to identify all related studies. The studies were limited to human cohort or case-control studies in English language. Random-effect models and dose-response meta-analysis were used to synthesize the results. Heterogeneity, subgroup analysis, sensitivity analysis, and publication bias were also assessed. Results. Nineteen studies with 2,416,546 participants were included in our meta-analysis. Compared with the mothers with normal weight, the pooled relative risks (RRs) of infants with CHDs were 1.08 (95% CI=1.03-1.13) in overweight and 1.23 (95% CI=1.17-1.29) in obese mothers. According to the findings from the linear meta-analysis, we observed an increased risk of infants with CHDs (RR=1.07, 95% CI=1.06-1.08) for each 5 kg/m2 increase in maternal BMI. A nonlinear relationship between maternal BMI and risk of infants with CHDs was also found (p=0.012). Conclusion. The results from our meta-analysis indicate that increased maternal BMI is related to increased risk of CHDs in infants.

Published
2019
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44. Survival of esophageal cancer in China: A pooled analysis on hospital-based studies from 2000 to 2018

Author

Hou, Haifeng, Meng, Zixiu, Zhao, Xuan, Ding, Guoyong, Sun, Ming, Wang, Wei, Wang, Youxin, Hou, Haifeng, Meng, Zixiu, Zhao, Xuan, Ding, Guoyong, Sun, Ming, Wang, Wei, and Wang, Youxin

Abstract

Background: Esophageal cancer (EC) causes more than 400 thousand deaths per year, and half of them occur in China. There are discrepancies regarding the survival of EC patients between population-based surveillance studies and hospital-based studies. Objectives: We aimed to synthesize the survival data from hospital-based EC studies in the Chinese population from 2000 to 2018 and to compare the survival rates between EC patients with different clinical classifications. Methods: The protocol of this systematic review was registered in PROSPERO (CRD-42019121559). We searched Embase, PubMed, CNKI, and Wanfang databases for studies published between January 1, 2000 and December 31, 2018. We calculated the pooled survival rates and 95% confidence intervals (CIs) by Stata software (V14.0). Results: Our literature search identified 933 studies, of which 331 studies with 79,777 EC patients met the inclusion criteria and were included in meta-analyses. The pooled survival rates were 74.1% (95% CI: 72.6–75.7%) for 1-year survival, 49.0% (95% CI: 44.2–53.8%) for 2-years survival, 46.0% (95% CI: 42.6–49.5%) for 3-years survival, and 40.1% (95% CI: 33.7–46.4%) for 5-years survival. An increased tendency toward EC survival was verified from 2000 to 2018. In addition, discrepancies were observed between EC patients with different clinical classifications (e.g., stages, histologic types, and cancer sites). Conclusions: Our findings showed a higher survival rate in hospital-based studies than population-based surveillance studies. Although this hospital-based study is subject to potential representability and publication bias, it offers insight into the prognosis of patients with EC in China.

Published
2019

50. Evaluation of the relationship between cognitive impairment and suboptimal health status in a northern Chinese population: a cross-sectional study.

Author

Guoyong Ding, Xuan Zhao, Youxin Wang, Daiyu Song, Dongzhen Chen, Yang Deng, Weijia Xing, Hualei Dong, Yong Zhou, Dong Li, Haifeng Hou, Ding, Guoyong, Zhao, Xuan, Wang, Youxin, Song, Daiyu, Chen, Dongzhen, Deng, Yang, Xing, Weijia, Dong, Hualei, and Zhou, Yong

Subjects
COGNITION disorder risk factors, CHI-squared test, COGNITION disorders, DEMOGRAPHY, FOOD habits, HEALTH status indicators, LONGITUDINAL method, QUALITY of life, QUESTIONNAIRES, RISK assessment, SMOKING, QUALITATIVE research, LOGISTIC regression analysis, SOCIOECONOMIC factors, BODY mass index, LIFESTYLES, HEALTH equity, CROSS-sectional method, DESCRIPTIVE statistics, ODDS ratio
Abstract

Background: Suboptimal health status (SHS) is an intermediate health status between ideal health and illness. As a determinant of cardiovascular disease and stroke, SHS is hypothesized to be associated with the development of cognitive impairment and dementia. This study aimed to investigate whether individuals with SHS have poor cognitive ability based on a community-based cohort in northern Chinese population.Methods: 3524 participants who were enrolled in Jidong cohort 2015 in Tangshan City were investigated in this study. Cognitive function was measured with the Mini-Mental State Examination (MMSE). SHS level was evaluated using a self-reporting Suboptimal Health Status Questionnaire-25 (SHSQ-25). The relationship between SHS and cognitive function was analyzed with logistic regression analysis, by which odds ratio (OR) and 95% confidence interval (CI) were calculated.Results: The prevalence of cognitive impairment was 3.4% (121/3524) in our study, with the prevalence rates of 1.9% (34/1750) among men and 4.9% (87/1774) in women. The medians of total score of MMSE were 28 (interquartile range (IQR) = 27-29) in the SHS group, and 29 (IQR = 27-30) in the ideal health group. Logistic regression analysis showed that SHS was significantly correlated with cognitive impairment (adjusted OR = 2.936, 95% CI = 1.428-6.033). With regard to gender, the OR was 5.067 (95% CI = 1.346-19.068) in men, which was higher than that in women (OR = 2.324, 95% CI = 1.130-4.779).Conclusions: SHS might be a risk factor for cognitive function in northern Chinese population. Early screening of SHS individuals, as well as urgent treatment of SHS might contribute to the prevention of cognitive impairment. [ABSTRACT FROM AUTHOR]

Published
2020
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