BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
9/9/2022 12:48:14 PM | Browse: 281 | Download: 858
 |
Received |
|
2022-04-06 10:56 |
|
Peer-Review Started |
|
2022-04-06 10:58 |
 |
To Make the First Decision |
|
|
|
Return for Revision |
|
2022-06-12 05:31 |
|
Revised |
|
2022-06-19 10:21 |
|
Second Decision |
|
2022-07-27 02:51 |
|
Accepted by Journal Editor-in-Chief |
|
|
|
Accepted by Company Editor-in-Chief |
|
2022-07-27 17:29 |
|
Articles in Press |
|
2022-07-27 17:29 |
|
Publication Fee Transferred |
|
|
|
Edit the Manuscript by Language Editor |
|
|
|
Typeset the Manuscript |
|
2022-08-26 01:38 |
|
Publish the Manuscript Online |
|
2022-09-09 12:48 |
| 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) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| 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 |
Nomogram for predicting the prognosis of tumor patients with sepsis after gastrointestinal surgery
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Ren-Xiong Chen, Zhou-Qiao Wu, Zi-Yu Li, Hong-Zhi Wang and Jia-Fu Ji |
| ORCID |
|
| Funding Agency and Grant Number |
|
| Corresponding Author |
Hong-Zhi Wang, MD, Professor, ICU, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, No. 52 Fucheng Road, Haidian District, Beijing 100142, China. wanghz58@sina.com |
| Key Words |
Tumor; Surgery; Sepsis; Gastrointestinal; Nomogram |
| Core Tip |
There were few studies on the prognosis of tumor patients with sepsis after gastrointestinal surgery and there was no relevant nomogram for predicting the prognosis of these patients. The aim of the study was to establish a nomogram for predicting the prognosis of tumor patients with sepsis after gastrointestinal surgery in the intensive care unit (ICU).The most common infection site of sepsis was abdominal infection and the 90-d all-cause mortality rate was 10.2% in our study group. In multiple analyses, we found that there were statistically significant differences in tumor type, septic shock, the number of lymphocytes after ICU admission, serum creatinine and total operation times among tumor patients with sepsis after gastrointestinal surgery (P < 0.05). These five variables could be used to establish a nomogram for predicting the prognosis of these septic patients. The nomogram was verified, and the initial C-index was 0.861. After 1000 internal validations of the model, the C-index was 0.876, and the discrimination was good. The correction curve indicated that the actual value was in good agreement with the predicted value. |
| Publish Date |
2022-09-09 12:48 |
| Citation |
Chen RX, Wu ZQ, Li ZY, Wang HZ, Ji JF. Nomogram for predicting the prognosis of tumor patients with sepsis after gastrointestinal surgery. World J Gastrointest Oncol 2022; 14(9): 1771-1784 |
| URL |
https://www.wjgnet.com/1948-5204/full/v14/i9/1771.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v14.i9.1771 |
© 2004-2024 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
