Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Zhichun Gu"'
Autor:
Meng Wei, Xue Wu, Liteng Wang, Zhichun Gu, Yuanmao Tu, Lihua Zhang, Jiong Zhang, Honglang Xie, Qing Zhou, Yanan Chu, Zhen Cheng, Guohua Zhou, Qinxin Song
Publikováno v:
Kidney Diseases, Pp 1-1 (2024)
Introduction: Thromboembolism is a recognized complication of nephrotic syndrome (NS). Evidence supporting the use of rivaroxaban to prevent NS-related thrombosis is limited and controversial. This study aimed to explore the impact of NS on rivaroxab
Externí odkaz:
https://doaj.org/article/2ca888f2c56a4c599a502197a200e7e9
Autor:
Huamin Ding, Zi Wang, Jia Wang, Yao Yao, Chi Zhang, Houwen Lin, Yong Zhou, Zhichun Gu, Qianzhou Lv, Xiaoye Li
Publikováno v:
Pharmaceutics, Vol 16, Iss 8, p 1006 (2024)
This study aimed to investigate the impact of the drug–drug interaction between rivaroxaban and amiodarone on the clinical outcomes in patients with non-valvular atrial fibrillation (NVAF), focusing on pharmacokinetic and pharmacodynamic (PK/PD) as
Externí odkaz:
https://doaj.org/article/a00f4e7fcaf24be29406dc0e5dd3b2b1
Autor:
Qian Xiang, Zhe Wang, Guangyan Mu, Qiufen Xie, Zhiyan Liu, Shuang Zhou, Hanxu Zhang, Zining Wang, Jie Jiang, Kun Hu, Yatong Zhang, Zinan Zhao, Dongdong Yuan, Liping Guo, Tingting Wu, Jinhua Zhang, Na Wang, Jing Xiang, Zhichun Gu, Jianjun Sun, Yimin Cui
Publikováno v:
Clinical and Translational Medicine, Vol 13, Iss 5, Pp n/a-n/a (2023)
Abstract Introduction Individual variability of rivaroxaban was observed in clinical application. This study aimed to identify genetic variants associated with the variability of pharmacodynamics and bleeding risk of rivaroxbaban in patients with non
Externí odkaz:
https://doaj.org/article/65f80f704f1643dbacb3c7bb0aa473f8
Autor:
Changcheng Shi, Limin Wang, Jian Ye, Zhichun Gu, Shuying Wang, Junbo Xia, Yaping Xie, Qingyu Li, Renjie Xu, Nengming Lin
Publikováno v:
BMC Infectious Diseases, Vol 21, Iss 1, Pp 1-15 (2021)
Abstract Background Coronavirus disease 2019 (COVID-19) is associated with a high mortality rate, especially in patients with severe illness. We conducted a systematic review and meta-analysis to assess the potential predictors of mortality in patien
Externí odkaz:
https://doaj.org/article/bbff64f05dc04633b74f51aa3a8d7934
Autor:
Jia Wang, Zhanchun Feng, Zhongxin Dong, Wanping Li, Chaoyi Chen, Zhichun Gu, Anhua Wei, Da Feng
Publikováno v:
Frontiers in Pharmacology, Vol 12 (2022)
Background: Within China's hierarchical medical system, many patients seek medical care in different hospitals independently without integrated management. As a result, multi-hospital visiting is associated with fragmented service utilization and inc
Externí odkaz:
https://doaj.org/article/41c4d766c6a64c7db43f4010c3d6dcbb
Publikováno v:
BMC Cardiovascular Disorders, Vol 18, Iss 1, Pp 1-11 (2018)
Abstract Background Although several meta-analyses have demonstrated the utility of intravascular ultrasound (IVUS) in guiding drug-eluting stent (DES) implantation compared to angiography-guidance, there has been a dearth of evidence in the left mai
Externí odkaz:
https://doaj.org/article/d33713af59644feeb07aff18ea8a623d
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 5, Iss 11 (2016)
BackgroundEvidence of the clinical safety of endothelin receptor antagonists (ERAs) is limited and derived mainly from individual trials; therefore, we conducted a meta‐analysis. Methods and ResultsAfter systematic searches of the Medline, Embase,
Externí odkaz:
https://doaj.org/article/d3bfef5ce1e040a1a61c5bbc8a1557d2
Autor:
Chengchun Zuo, Xiaoye Li, Yingyun Guan, Linlin Fan, Jing Li, Dan Tian, Can Chen, Xiaoyu Li, Zhichun Gu, Chi Zhang, Xiaolan Bian, Qianzhou Lv
Publikováno v:
Anatolian Journal of Cardiology / Anadolu Kardiyoloji Dergisi; Apr2024, Vol. 28 Issue 4, p194-200, 8p
Autor:
Yan Wen, Mengpei Zhao, Shangxi Fu, Zhichun Gu, Wansheng Chen, Qing Zhao, Wei Shu, Xia Tao, Feng Zhang
Publikováno v:
Transl Pediatr
BACKGROUND: The pharmaceutical services based on therapeutic care pathway for kidney transplantation from infants and young children (age
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::633ca41c7fcdb60f55ccf8d8f545b6c0
https://europepmc.org/articles/PMC9253932/
https://europepmc.org/articles/PMC9253932/
Nonlinear Machine Learning in Warfarin Dose Prediction: Insights from Contemporary Modelling Studies
Publikováno v:
Journal of Personalized Medicine; Volume 12; Issue 5; Pages: 717
Objective: This study aimed to systematically assess the characteristics and risk of bias of previous studies that have investigated nonlinear machine learning algorithms for warfarin dose prediction. Methods: We systematically searched PubMed, Embas