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6/8/2023 12:58:10 PM | Browse: 270 | Download: 1059
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Received |
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2022-12-14 12:11 |
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Peer-Review Started |
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2022-12-14 12:14 |
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To Make the First Decision |
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Return for Revision |
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2023-01-25 07:12 |
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Revised |
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2023-04-01 02:12 |
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Second Decision |
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2023-04-20 03:10 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2023-04-20 08:36 |
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Articles in Press |
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2023-04-20 08:36 |
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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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2023-06-02 05:15 |
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Publish the Manuscript Online |
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2023-06-07 07:54 |
| ISSN |
2644-3236 (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) 2023. 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 |
Infectious Diseases |
| Manuscript Type |
Retrospective Study |
| Article Title |
Risk factor profiles for gastric cancer prediction with respect to Helicobacter pylori: A study of a tertiary care hospital in Pakistan
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Shahid Aziz, Simone König, Muhammad Umer, Tayyab Saeed Akhter, Shafqat Iqbal, Maryum Ibrar, Tofeeq Ur-Rehman, Tanvir Ahmad, Alfizah Hanafiah, Rabaab Zahra and Faisal Rasheed |
| Funding Agency and Grant Number |
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| Corresponding Author |
Shahid Aziz, PhD, Research Fellow, Patients Diagnostic Lab, Isotope Application Division, Pakistan Institute of Nuclear Science and Technology, Islamabad 44000, Pakistan. saziz@bs.qau.edu.pk |
| Key Words |
Gastric cancer; gastritis; machine learning; prediction model; H. pylori |
| Core Tip |
This is a retrospective study to report the prevalence of H. pylori infection in Pakistan along with its association with various risk factors having direct or indirect relationships with different gastroduodenal diseases (GDD) such as gastritis, ulcers, and gastric cancer (GC). GC risk factors were incorporated into a highly sensitive and specific dynamic computer tool for the prediction of GC with an impressive >80% confidence. This GC prediction model is freely available and may be used to reduce unnecessary invasive procedures such as endoscopies. The research study assists the healthcare authorities in their understanding of the burden of GDD and GC, which is intertwined with H. pylori infection. |
| Publish Date |
2023-06-07 07:54 |
| Citation |
Aziz S, König S, Umer M, Akhter TS, Iqbal S, Ibrar M, Ur-Rehman T, Ahmad T, Hanafiah A, Zahra R, Rasheed F. Risk factor profiles for gastric cancer prediction with respect to Helicobacter pylori: A study of a tertiary care hospital in Pakistan. Artif Intell Gastroenterol 2023; 4(1): 10-27 |
| URL |
https://www.wjgnet.com/2644-3236/full/v4/i1/10.htm |
| DOI |
https://dx.doi.org/10.35712/aig.v4.i1.10 |
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