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Articles Published Processes
6/6/2020 2:43:56 PM | Browse: 909 | Download: 1731
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Received |
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2019-12-28 16:30 |
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Peer-Review Started |
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2019-12-28 16:32 |
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To Make the First Decision |
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Return for Revision |
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2020-01-13 17:33 |
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Revised |
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2020-03-26 14:41 |
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Second Decision |
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2020-04-20 06:11 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2020-04-20 17:30 |
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Articles in Press |
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2020-04-20 17:30 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2020-05-02 00:36 |
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Typeset the Manuscript |
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2020-06-04 07:09 |
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Publish the Manuscript Online |
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2020-06-06 14:43 |
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) 2020. 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 Study |
Article Title |
Non-invasive prediction model for high-risk esophageal varices in the Chinese population
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Long-Bao Yang, Jing-Yuan Xu, Xin-Xing Tantai, Hong Li, Cai-Lan Xiao, Cai-Feng Yang, Huan Zhang, Lei Dong and Gang Zhao |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Gang Zhao, MD, PhD, Doctor, Doctor, Department of Gastroenterology, the Second Affiliated Hospital of Xi'an Jiaotong University, No. 157, Xiwu Road, Xi'an 710004, Shaanxi Province, China. zhaogang799@126.com |
Key Words |
Cirrhosis; High-risk esophageal varices; Non-invasive prediction model; Liver volume; Spleen volume; |
Core Tip |
The non-invasive prediction model for predicting high-risk esophageal varices in patients with viral cirrhosis was successfully established based on the standard formula for calculation of liver and spleen volumes. It is a novel model that has not been reported. The model was shown to be better than other previous prediction models. The new model had clinical efficacy and ability to predict high-risk esophageal varices. |
Publish Date |
2020-06-06 14:43 |
Citation |
Yang LB, Xu JY, Tantai XX, Li H, Xiao CL, Yang CF, Zhang H, Dong L, Zhao G. Non-invasive prediction model for high-risk esophageal varices in the Chinese population. World J Gastroenterol 2020; 26(21): 2839-2851 |
URL |
https://www.wjgnet.com/1007-9327/full/v26/i21/2839.htm |
DOI |
https://dx.doi.org/10.3748/wjg.v26.i21.2839 |
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