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Showing results for dongxihu guo
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Chinese Medicine Formula Huashibaidu Granule Early Treatment for Mild COVID-19 Patients: An Unblinded, Cluster-Randomized Clinical Trial.
Zhao C, Li L, Yang W, Lv W, Wang J, Guo J, Dong Y, Shi N, Lu C, Li Z, Shi Z, Chen R, Huo R, Che Q, Tian Y, Xiang X, Wang J, Zhou J, Bian Y, Chen S, Chen Y, Chen Y, Cong X, Dong G, Hu L, Jiang J, Leng L, Li B, Li D, Li H, Li J, Qi W, Miao Q, Shi H, Shi J, Wang B, Wang G, Wang W, Xian Y, Xie X, Xu C, Xu M, Yan B, Yang J, Zhang L, Zhou Z, Zhu H, Xiong Y, Liu B, Huang L. Zhao C, et al. Front Med (Lausanne). 2021 Sep 16;8:696976. doi: 10.3389/fmed.2021.696976. eCollection 2021. Front Med (Lausanne). 2021. PMID: 34604251 Free PMC article.
Methods: An unblinded cluster-randomized clinical trial was conducted at the Dongxihu FangCang hospital. Two cabins were randomly allocated to a CM or control group, with 204 mild COVID-19 participants in each cabin. ...
Methods: An unblinded cluster-randomized clinical trial was conducted at the Dongxihu FangCang hospital. Two cabins were randomly all …
Clinical features predicting mortality risk in older patients with COVID-19.
Zhou J, Huang L, Chen J, Yuan X, Shen Q, Dong S, Cheng B, Guo TM. Zhou J, et al. Curr Med Res Opin. 2020 Nov;36(11):1753-1759. doi: 10.1080/03007995.2020.1825365. Epub 2020 Oct 12. Curr Med Res Opin. 2020. PMID: 32945707
METHODS: A retrospective analysis of 118 older patients with COVID-19 admitted to the Union Dongxihu Hospital, Huazhong University of Science and Technology, Wuhan, China from 12 January to 26 February 2020. ...
METHODS: A retrospective analysis of 118 older patients with COVID-19 admitted to the Union Dongxihu Hospital, Huazhong University of …
Exosomes from patients with Parkinson's disease are pathological in mice.
Han C, Xiong N, Guo X, Huang J, Ma K, Liu L, Xia Y, Shen Y, Li J, Jiang H, Wang L, Guo S, Xu X, Zhang G, Liu J, Cao X, Zhang Z, Lin Z, Wang T. Han C, et al. J Mol Med (Berl). 2019 Sep;97(9):1329-1344. doi: 10.1007/s00109-019-01810-z. Epub 2019 Jul 13. J Mol Med (Berl). 2019. PMID: 31302715
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