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Articles Published Processes
5/17/2022 12:57:55 PM | Browse: 387 | Download: 887
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Received |
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2021-12-04 07:19 |
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Peer-Review Started |
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2021-12-04 07:21 |
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To Make the First Decision |
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Return for Revision |
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2022-01-27 08:04 |
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Revised |
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2022-02-09 09:36 |
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Second Decision |
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2022-03-30 02:06 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2022-04-04 05:59 |
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Articles in Press |
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2022-04-04 05:59 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2022-03-25 17:52 |
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Typeset the Manuscript |
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2022-05-12 04:01 |
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Publish the Manuscript Online |
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2022-05-17 12:57 |
ISSN |
1007-9327 (print) and 2219-2840 (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) 2022. 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 |
Gastroenterology & Hepatology |
Manuscript Type |
Retrospective Cohort Study |
Article Title |
Development and external validation of models to predict acute respiratory distress syndrome related to severe acute pancreatitis
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Manuscript Source |
Invited Manuscript |
All Author List |
Yun-Long Li, Ding-Ding Zhang, Yang-Yang Xiong, Rui-Feng Wang, Xiao-Mao Gao, Hui Gong, Shi-Cheng Zheng and Dong Wu |
ORCID |
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Funding Agency and Grant Number |
Funding Agency |
Grant Number |
Chinese Natural Science Foundation |
32170788 |
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Corresponding Author |
Dong Wu, MD, Associate Professor, Department of Gastroenterology, Peking Union Medical College Hospital, No. 1 Shuaifuyuan Wangfujing, Dongcheng District, Beijing 100730, China. wudong061002@aliyun.com |
Key Words |
Acute pancreatitis; Acute respiratory distress syndrome; Nomogram; Calibration; Early identification; Predictive model |
Core Tip |
Severe acute pancreatitis (SAP)-related acute respiratory distress syndrome (ARDS) affect the mortality of patients with AP. Early identification of patients at high risk for SAP and ARDS can aid clinicians to adopt interventions to stop disease progression. However, current predictive models are either too complicated due to various parameters or unreliable due to lack of validation. This study developed new models to predict SAP and ARDS using only four routine clinical items within 24 h of admission. New models were externally validated and performed as well as or with a higher efficiency than other models. |
Publish Date |
2022-05-17 12:57 |
Citation |
Li Y, Zhang D, Xiong Y, Wang R, Gao X, Gong H, Zheng S, Wu D. Development and external validation of models to predict severe acute pancreatitis related acute respiratory distress syndrome. World J Gastroenterol 2022; 28(19): 2123-2136 |
URL |
https://www.wjgnet.com/1007-9327/full/v28/i19/2123.htm |
DOI |
https://dx.doi.org/10.3748/wjg.v28.i19.2123 |
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