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Yunhua Liao
Researcher at Guangxi Medical University
Publications - 11
Citations - 2211
Yunhua Liao is an academic researcher from Guangxi Medical University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 4, co-authored 6 publications receiving 1605 citations. Previous affiliations of Yunhua Liao include Guangxi University.
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Journal ArticleDOI
CMIP SNPs and their haplotypes are associated with dyslipidaemia and clinicopathologic features of IgA nephropathy.
TL;DR: CMIP SNPs and their haplotypes are closely correlated with the occurrence of dyslipidaemia and clinicopathologic damage in IgAN patients and the frequency of C allele carriers was higher than that of non-C allele carriers for rs16955379.
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Relationship between total testosterone, sex hormone–binding globulin levels and the severity of non-alcoholic fatty liver disease in males: a meta-analysis
TL;DR: The present meta-analysis shows that lower TT is associated with the severity ofNAFLD in males, while the relationship between SHBG and severity of NAFLD is still to be further verified.
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Associations between short-term exposure of ambient particulate matter and hemodialysis patients death: A nationwide, longitudinal case-control study in China.
Xiaowei Lou,Xing Zhang,Nan Shi,ZhenXi Ding,Zhonggao Xu,Bicheng Liu,Wen-Bin Hu,Tiekun Yan,Jinwen Wang,Lin Li,Yan Zhao,Jianqin Wang,Wei Chen,Chenyun Xu,Jinsheng Xu,Hongli Jiang,Huichao Ma,Weijie Yuan,Caili Wang,Yunhua Liao,De-xu Wang,Lisha Yao,Menghua Chen,Guisen Li,Yun Liang Li,Peijun Wang,Xuemei Li,Chen Lu,Wenzhuang Tang,Jianxin Wan,Rongshan Li,Xin Xiao,Chun-Dan Zhang,Jundong Jiao,Wei Zhang,Jing Yuan,Lan Lan,Jingsong Li,Peng Zhang,W. Zheng,Jianghua Chen +40 more
TL;DR: In this paper , the authors performed a case-crossover study to estimate the association between short-term exposures to PM2.5 and PM10 and mortality of hemodialysis patients.
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Development and validation of short-term renal prognosis prediction model in diabetic patients with acute kidney injury
Man-Qiu Mo,Zichun Huang,Tianyun Gao,Yuzhen Luo,Xiaojie Pan,Zhenhua Yan,Ning Xia,Yunhua Liao,Ling Pan +8 more
TL;DR: Wang et al. as discussed by the authors developed and validated a predictive model to identify high-risk individuals with non-recovery of renal function at 90 days in diabetic patients with AKI.
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Influence of Red Blood Cell Distribution Width on All-Cause Death in Critical Diabetic Patients with Acute Kidney Injury
TL;DR: High level of RDW is an important risk factor of all-cause death in critical diabetic patients with AKI, and it may be used as a valuable index to classify the mortality.