Institution
Capital Medical University
Education•Beijing, China•
About: Capital Medical University is a education organization based out in Beijing, China. It is known for research contribution in the topics: Population & Medicine. The organization has 56150 authors who have published 47290 publications receiving 811249 citations.
Topics: Population, Medicine, Stroke, Cancer, Randomized controlled trial
Papers published on a yearly basis
Papers
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TL;DR: Level of social support for medical staff in China who were treating patients with COVID-19 infection during January and February 2020 had levels of anxiety, stress, and self-efficacy that were dependent on sleep quality and social support.
Abstract: BACKGROUND Coronavirus disease 2019 (COVID-19), formerly known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and 2019 novel coronavirus (2019-nCoV), was first identified in December 2019 in Wuhan City, China. Structural equation modeling (SEM) is a multivariate analysis method to determine the structural relationship between measured variables. This observational study aimed to use SEM to determine the effects of social support on sleep quality and function of medical staff who treated patients with COVID-19 in January and February 2020 in Wuhan, China. MATERIAL AND METHODS A one-month cross-sectional observational study included 180 medical staff who treated patients with COVID-19 infection. Levels of anxiety, self-efficacy, stress, sleep quality, and social support were measured using the and the Self-Rating Anxiety Scale (SAS), the General Self-Efficacy Scale (GSES), the Stanford Acute Stress Reaction (SASR) questionnaire, the Pittsburgh Sleep Quality Index (PSQI), and the Social Support Rate Scale (SSRS), respectively. Pearson's correlation analysis and SEM identified the interactions between these factors. RESULTS Levels of social support for medical staff were significantly associated with self-efficacy and sleep quality and negatively associated with the degree of anxiety and stress. Levels of anxiety were significantly associated with the levels of stress, which negatively impacted self-efficacy and sleep quality. Anxiety, stress, and self-efficacy were mediating variables associated with social support and sleep quality. CONCLUSIONS SEM showed that medical staff in China who were treating patients with COVID-19 infection during January and February 2020 had levels of anxiety, stress, and self-efficacy that were dependent on sleep quality and social support.
959 citations
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TL;DR: The measures to prevent transmission was very successful at early stage, the next steps on the COVID-19 infection should be focused on early isolation of patients and quarantine for close contacts in families and communities in Beijing.
944 citations
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TL;DR: In isolation of four human-origin monoclonal antibodies from a convalescent patient, all of which display neutralization abilities, a therapeutic study in a mouse model validated that these antibodies can reduce virus titers in infected lungs.
Abstract: Neutralizing antibodies could potentially be used as antivirals against the coronavirus disease 2019 (COVID-19) pandemic. Here, we report isolation of four human-origin monoclonal antibodies from a convalescent patient, all of which display neutralization abilities. The antibodies B38 and H4 block binding between the spike glycoprotein receptor binding domain (RBD) of the virus and the cellular receptor angiotensin-converting enzyme 2 (ACE2). A competition assay indicated different epitopes on the RBD for these two antibodies, making them a potentially promising virus-targeting monoclonal antibody pair for avoiding immune escape in future clinical applications. Moreover, a therapeutic study in a mouse model validated that these antibodies can reduce virus titers in infected lungs. The RBD-B38 complex structure revealed that most residues on the epitope overlap with the RBD-ACE2 binding interface, explaining the blocking effect and neutralizing capacity. Our results highlight the promise of antibody-based therapeutics and provide a structural basis for rational vaccine design.
933 citations
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TL;DR: Using repeated-measurement resting-state functional MRI to explore intersubject variability in connectivity revealed that regions predicting individual differences in cognitive domains are predominantly located in regions of high connectivity variability.
906 citations
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TL;DR: The current regulatory environment in the United States is summarized and comparisons are highlighted with other regions in the world, notably Europe and China, to bring the full potential of AI to the clinic.
Abstract: The development of artificial intelligence (AI)-based technologies in medicine is advancing rapidly, but real-world clinical implementation has not yet become a reality. Here we review some of the key practical issues surrounding the implementation of AI into existing clinical workflows, including data sharing and privacy, transparency of algorithms, data standardization, and interoperability across multiple platforms, and concern for patient safety. We summarize the current regulatory environment in the United States and highlight comparisons with other regions in the world, notably Europe and China.
904 citations
Authors
Showing all 56323 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yang Yang | 171 | 2644 | 153049 |
Hua Zhang | 163 | 1503 | 116769 |
Matthias Egger | 152 | 901 | 184176 |
Jost B. Jonas | 132 | 1158 | 166510 |
Shuai Liu | 129 | 1095 | 80823 |
Yang Liu | 129 | 2506 | 122380 |
Chao Zhang | 127 | 3119 | 84711 |
Michael Wang | 117 | 1428 | 56282 |
Wei Lu | 111 | 1973 | 61911 |
Yan Zhang | 107 | 2410 | 57758 |
Claus Bachert | 106 | 842 | 49557 |
Nan Lin | 105 | 687 | 54545 |
Banglin Chen | 105 | 393 | 55287 |
Ming Li | 103 | 1669 | 62672 |
George F. Gao | 102 | 793 | 82219 |