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Xunliang Tong
Researcher at Peking Union Medical College
Publications - 11
Citations - 1306
Xunliang Tong is an academic researcher from Peking Union Medical College. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 2, co-authored 3 publications receiving 914 citations.
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Journal ArticleDOI
Effect of Convalescent Plasma Therapy on Time to Clinical Improvement in Patients With Severe and Life-threatening COVID-19: A Randomized Clinical Trial.
Ling Li,Zhang Wei,Yu Hu,Xunliang Tong,Shangen Zheng,Juntao Yang,Yujie Kong,Lili Ren,Qing Wei,Heng Mei,Caiying Hu,Cuihua Tao,Ru Yang,Jue Wang,Yongpei Yu,Guo Yong,Xiaoxiong Wu,Zhihua Xu,Li Zeng,Nian Xiong,Lifeng Chen,Juan Wang,Ning Man,Yu Liu,Haixia Xu,E. Deng,Xuejun Zhang,Chenyue Li,Conghui Wang,Shisheng Su,Linqi Zhang,Jianwei Wang,Yanyun Wu,Zhong Liu +33 more
TL;DR: Among patients with severe or life-threatening COVID-19, convalescent plasma therapy added to standard treatment, compared with standard treatment alone, did not result in a statistically significant improvement in time to clinical improvement within 28 days.
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Seroprevalence and humoral immune durability of anti-SARS-CoV-2 antibodies in Wuhan, China: a longitudinal, population-level, cross-sectional study.
Zhenyu He,Lili Ren,Juntao Yang,Li Guo,Luzhao Feng,Chao Ma,Xia Wang,Zhiwei Leng,Xunliang Tong,Wang Zhou,Geng Wang,Ting Zhang,Yan Guo,Chao Wu,Qing Wang,Man-Qing Liu,Conghui Wang,Mengmeng Jia,Xuejiao Hu,Ying Wang,Xingxing Zhang,Rong Hu,Jingchuan Zhong,Jin Yang,Juan Dai,Lan Chen,Xiaoqi Zhou,Jianwei Wang,Weizhong Yang,Chen Wang +29 more
TL;DR: Wu et al. as mentioned in this paper used a multistage, population-stratified, cluster random sampling method to determine the seroprevalence and kinetics of anti-SARS-CoV-2 antibodies at population level in Wuhan to inform the development of vaccination strategies.
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Particulate matter pollution and asthma mortality in China: A nationwide time-stratified case-crossover study from 2015 to 2020.
Wei Liu,Jingwa Wei,Miao Cai,Zhengmin Qian,Z. Long,Lijun Wang,Michael G. Vaughn,Hannah E. Aaron,Xunliang Tong,Yanming Li,Peng Yin,Hualiang Lin +11 more
TL;DR: Wang et al. as mentioned in this paper used a bilinear interpolation approach to estimate each participant's daily ambient particulate matter pollution and meteorological variables exposure based on their geocoded residential address and a 10 km × 10 km grid from China High Air Pollutants and the fifth generation of European ReAnalysis-Land reanalysis data set.
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Factors Predicting Progression to Severe COVID-19: A Competing Risk Survival Analysis of 1753 Patients in Community Isolation in Wuhan, China.
Juntao Yang,Simiao Chen,Simiao Chen,Héliane Ventura,Hui Sun,Mei Heng,Navin Gopinathan,Xunliang Tong,Pascal Geldsetzer,Pascal Geldsetzer,Zhuoran Wang,Peixin Wu,Peixin Wu,Juntao Yang,Yu Hu,Chen Wang,Chen Wang,Till Bärnighausen,Till Bärnighausen +18 more
TL;DR: Wang et al. as mentioned in this paper used a multivariable competing risk survival analysis to identify several important predictors of progression to severe COVID-19-rather than to recovery-among patients in community isolation.
Journal ArticleDOI
Clinical features and risk factors of severely and critically ill patients with COVID-19
Xin Chu,Gui-Fang Zhang,Yong-Ke Zheng,Yi-gang Zhong,Li Wen,Ping Zeng,Chunyi Fu,Xunliang Tong,Yun-Fei Long,Jing Li,Yalin Liu,Zhigang Chang,Huan Xi +12 more
TL;DR: Age, an elevated neutrophil-to-lymphocyte ratio and high sensitivity cardiac troponin I can help clinicians identify patients with severe COVID-19 at an early stage.