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Articles Published Processes
9/9/2024 8:41:18 AM | Browse: 77 | Download: 453
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Received |
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2024-03-19 21:26 |
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Peer-Review Started |
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2024-03-19 21:26 |
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First Decision by Editorial Office Director |
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2024-05-01 20:21 |
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Return for Revision |
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2024-05-01 20:21 |
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Revised |
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2024-05-09 17:45 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2024-06-03 02:40 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2024-06-03 06:43 |
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Articles in Press |
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2024-06-03 06:43 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2024-07-31 05:52 |
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Publish the Manuscript Online |
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2024-09-09 08:41 |
| ISSN |
1948-5204 (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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2024. 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 |
Oncology |
| Manuscript Type |
Editorial |
| Article Title |
Predictive modeling for post operative delirium in elderly
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Chris B Lamprecht, Abeer Dagra and Brandon Lucke-Wold |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Abeer Dagra, BSc, Research Assistant, Lillian S. Wells Department of Neurosurgery, University of Florida, Newell Drive, Gainesville, FL 32610, United States. abeer.dagra@ufl.edu |
| Key Words |
Post-operative delirium; Elderly delirium; Neurocognitive syndrome; Neurotransmitters; Abdominal malignancy; Predictive model; Synthetic minority oversampling technique |
| Core Tip |
Postoperative delirium (POD) presents significant challenges in elderly patients, with no current gold standard for prevention. This editorial sheds light on a study that introduces a predictive model utilizing synthetic minority oversampling technique (SMOTE) to identify high-risk patients. Key risk factors include comorbidity index, anesthesia grade, and surgical duration. The editorial discusses that standardizing predictive models across surgical subspecialties is crucial for effective POD management. Further advancements in SMOTE algorithms offer promising avenues for handling unbalanced datasets prevalent in research. |
| Publish Date |
2024-09-09 08:41 |
| Citation |
Lamprecht CB, Dagra A, Lucke-Wold B. Predictive modeling for post operative delirium in elderly. World J Gastrointest Oncol 2024; 16(9): 3761-3764 |
| URL |
https://www.wjgnet.com/1948-5204/full/v16/i9/3761.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v16.i9.3761 |
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