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Articles Published Processes
11/8/2022 7:44:25 AM | Browse: 298 | Download: 1248
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Received |
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2022-08-28 04:52 |
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Peer-Review Started |
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2022-08-28 04:57 |
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To Make the First Decision |
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Return for Revision |
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2022-10-04 09:00 |
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Revised |
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2022-10-07 08:36 |
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Second Decision |
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2022-10-18 03:19 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2022-10-18 08:11 |
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Articles in Press |
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2022-10-18 08:11 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2022-10-27 15:00 |
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Publish the Manuscript Online |
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2022-11-08 07:44 |
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) 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 Study |
Article Title |
Non-invasive model for predicting esophageal varices based on liver and spleen volume
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Long-Bao Yang, Gang Zhao, Xin-Xing Tantai, Cai-Lan Xiao, Si-Wen Qin, Lei Dong, Dan-Yan Chang, Yuan Jia and Hong Li |
ORCID |
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Funding Agency and Grant Number |
Funding Agency |
Grant Number |
Shaanxi Provincial Department of Science and Technology |
2020SF-222 |
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Corresponding Author |
Hong Li, MD, Doctor, Doctor, Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 Xiwu Road, Xi'an 710004, Shaanxi Province, China. hongli119@hotmail.com |
Key Words |
Gastroscopy; Esophageal varices; Liver volume; Cirrhosis; Non-invasive diagnostic model; Spleen volume |
Core Tip |
An effective novel non-invasive predictive model based on the standard liver and spleen volume formula for esophageal varices in individuals with viral cirrhosis was developed. The model's specificity, calibrability, and clinical efficacy were superior to other models. |
Publish Date |
2022-11-08 07:44 |
Citation |
Yang LB, Zhao G, Tantai XX, Xiao CL, Qin SW, Dong L, Chang DY, Jia Y, Li H. Non-invasive model for predicting esophageal varices based on liver and spleen volume. World J Clin Cases 2022; 10(32): 11743-11752 |
URL |
https://www.wjgnet.com/2307-8960/full/v10/i32/11743.htm |
DOI |
https://dx.doi.org/10.12998/wjcc.v10.i32.11743 |
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