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Cited by 538

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Clinical Course and Outcomes of 344 Intensive Care Patients with COVID-19

Open access
Wang, Yang, Lu, Xiaofan, Li, Yongsheng, Chen, Hui, Chen, Taige, Su, Nan, Huang, Fang, Zhou, Jing, Zhang, Bing, Yan, Fangrong, Wang, Jun·2020·American Journal of Respiratory and Critical Care Medicine

Abstract

With the dramatic increase of confirmed cases of coronavirus disease (COVID-19) and the increasing death toll in China, timely and effective management of severely and critically ill patients appears to be particularly important. Previous studies on COVID-19 mainly described the general features of patients (1). However, little attention has been paid to clinical characteristics and outcomes of intensive care patients, data on whom are scarce but are of paramount importance to reduce mortality. Some of the results of these studies have been previously reported in the form of an abstract (2).

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Metadata

Authors
Wang, Y., Lu, X., Li, Y., Chen, H., Chen, T., Su, N., Huang, F., Zhou, J., Zhang, B., Yan, F., & Wang, J.
Venue
American Journal of Respiratory and Critical Care Medicine
Published
2020-06-01
Volume
201
Issue
11
Pages
1430-1434
ISSN
  • 1073-449X (ISSN-L)
  • 1535-4970
OpenAlex
W3014797709
Cited by
538
References
1
FWCI
14.82
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Clinical Course and Outcomes of 344 Intensive Care Patients with COVID-19. https://app.cochat.ai/papers/10.1164/rccm.202003-0736le
The paper
Wang, Y., Lu, X., Li, Y., Chen, H., Chen, T., Su, N., Huang, F., Zhou, J., Zhang, B., Yan, F., & Wang, J. (2020). Clinical Course and Outcomes of 344 Intensive Care Patients with COVID-19. American Journal of Respiratory and Critical Care Medicine. https://doi.org/10.1164/rccm.202003-0736le

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.