K
Ke Wang
Researcher at Guangxi Medical University
Publications - 23
Citations - 1142
Ke Wang is an academic researcher from Guangxi Medical University. The author has contributed to research in topics: Biofilm & Medicine. The author has an hindex of 10, co-authored 16 publications receiving 884 citations.
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Journal ArticleDOI
Diagnostic accuracy of adenosine deaminase in tuberculous pleurisy: A meta-analysis☆
TL;DR: In this article, the authors conducted a meta-analysis to determine the accuracy of adenosine deaminase (ADA) measurements in the diagnosis of tuberculous pleurisy.
Journal ArticleDOI
Baicalin inhibits biofilm formation, attenuates the quorum sensing-controlled virulence and enhances Pseudomonas aeruginosa clearance in a mouse peritoneal implant infection model.
Jing Luo,Biying Dong,Ke Wang,Shuangqi Cai,Tangjuan Liu,Xiaojing Cheng,Danqing Lei,Yanling Chen,Yanan Li,Jinliang Kong,Yiqiang Chen +10 more
TL;DR: Zhang et al. as mentioned in this paper demonstrated the ability of sub-minimum inhibitory concentrations (sub-MICs) of Baicalin, an active natural compound extracted from the traditional Chinese medicinal Scutellaria baicalensis, to inhibit the formation of Pseudomonas aeruginosa biofilms and enhance the bactericidal effects of various conventional antibiotics in vitro.
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Accuracy of BAL Galactomannan in Diagnosing Invasive Aspergillosis: A Bivariate Metaanalysis and Systematic Review
TL;DR: BAL-GM determination is a sensitive and specific test for the diagnosis of proven and probable IA and is likely to be a useful tool for diagnosing IA.
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Baicalein Inhibits Staphylococcus aureus Biofilm Formation and the Quorum Sensing System In Vitro
Yan Chen,Tangjuan Liu,Ke Wang,Changchun Hou,Shuangqi Cai,Huang Yingying,Zhongye Du,Huang Hong,Jinliang Kong,Yiqiang Chen +9 more
TL;DR: In this paper, the authors used a clinically isolated strain of Staphylococcus aureus 17546 (t037) for biofilm formation and evaluated its antibiofilm activity.
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PCR Diagnosis of Pneumocystis Pneumonia: a Bivariate Meta-Analysis
TL;DR: A bivariate meta-analysis showed that respiratory specimen PCR results are sufficient to confirm or exclude the disease for at-risk patients suspected of having Pneumocystis pneumonia.