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Articles Published Processes
4/22/2021 12:14:42 PM | Browse: 423 | Download: 1052
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Received |
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2020-12-03 08:49 |
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Peer-Review Started |
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2020-11-28 12:45 |
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To Make the First Decision |
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Return for Revision |
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2020-12-24 05:41 |
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Revised |
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2020-12-30 16:15 |
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Second Decision |
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2021-02-22 13:34 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2021-02-25 03:47 |
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Articles in Press |
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2021-02-25 03:47 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2021-03-25 07:50 |
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Typeset the Manuscript |
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2021-04-06 07:13 |
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Publish the Manuscript Online |
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2021-04-22 12:14 |
| ISSN |
2307-8960 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Medical Informatics |
| Manuscript Type |
Retrospective Study |
| Article Title |
Clinical diagnosis of severe COVID-19: A derivation and validation of a prediction rule
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Ming Tang, Xia-Xia Yu, Jia Huang, Jun-Ling Gao, Fu-Lan Cen, Qi Xiao, Shou-Zhi Fu, Yang Yang, Bo Xiong, Yong-Jun Pan, Ying-Xia Liu, Yong-Wen Feng, Jin-Xiu Li and Yong Liu |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Yong Liu, MD, Chief Doctor, /, Shenzhen Hospital, Southern Medical University, No. 1333 Xinhu Road, Baoan District, Shenzhen 518000, Guangdong Province, China. liuyongjoy@outlook.com |
| Key Words |
COVID-19; Communicable diseases; Clinical decision rules; Prognosis; Nomograms |
| Core Tip |
This study established a risk-prediction model to estimate the prognosis of patients with coronavirus disease 2019 (COVID-19) for clinicians to more objectively calculate the severity of an individual patient and optimize the subsequent treatment. The model with the aforementioned six predictors could be used in clinical practice to identify high-risk dialysis patients for more investigations and interventions. This study provided a simple form of a probability prediction model to identify severe patients with COVID-19. |
| Publish Date |
2021-04-22 12:14 |
| Citation |
Tang M, Yu XX, Huang J, Gao JL, Cen FL, Xiao Q, Fu SZ, Yang Y, Xiong B, Pan YJ, Liu YX, Feng YW, Li JX, Liu Y. Clinical diagnosis of severe COVID-19: A derivation and validation of a prediction rule. World J Clin Cases 2021; 9(13): 2994-3007 |
| URL |
https://www.wjgnet.com/2307-8960/full/v9/i13/2994.htm |
| DOI |
https://dx.doi.org/10.12998/wjcc.v9.i13.2994 |
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