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Articles Published Processes
8/26/2019 2:56:46 AM | Browse: 807 | Download: 1542
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Received |
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2019-04-24 01:01 |
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Peer-Review Started |
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2019-04-24 06:05 |
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To Make the First Decision |
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2019-06-04 00:58 |
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Return for Revision |
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2019-06-04 01:32 |
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Revised |
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2019-06-22 04:39 |
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Second Decision |
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2019-06-25 00:59 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2019-07-03 16:49 |
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Articles in Press |
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2019-07-03 16:49 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2019-07-18 14:10 |
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Typeset the Manuscript |
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2019-08-23 05:25 |
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Publish the Manuscript Online |
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2019-08-26 02:56 |
| ISSN |
2307-8960 (online) |
| Open Access |
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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) 2019. 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 |
Surgery |
| Manuscript Type |
Retrospective Study |
| Article Title |
Predicting surgical site infections using a novel nomogram in patients with hepatocelluar carcinoma undergoing hepatectomy
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Tian-Yu Tang, Yi Zong, Yi-Nan Shen, Cheng-Xiang Guo, Xiao-Zhen Zhang, Xiu-Wen Zou, Wei-Yun Yao, Ting-Bo Liang and Xue-Li Bai |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Ting-Bo Liang, MD, PhD, Attending Doctor, Chief Doctor, Doctor, Doctor, Full Professor, Research Fellow, Surgeon, Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Qingchun Road 79, Hangzhou 310003, Zhejiang Province, China. liangtingbo@zju.edu.cn |
| Key Words |
Surgical site infection; Nomogram; Hepatectomy; Risk factors; ; |
| Core Tip |
Surgical site infections (SSI) remain a major cause of morbidity among patients undergoing liver resection. The aim of this study is to establish a nomogram to predict SSI in patients who underwent hepatectomy for hepatocellular carcinoma. 309 patients were used to develop the prediction model based on identified risk factors. 331 patients were used as external validation cohort. The prediction model shows better performance comparing to National Nosocomial Infection surveillance risk index both in training and validation cohorts. This nomogram integrating information of medical history, liver function, performance status and intra-operative risk may have potential for helping surgeon identify the patients with increased risk of SSI in clinical practice. |
| Publish Date |
2019-08-26 02:56 |
| Citation |
Tang TY, Zong Y, Shen YN, Guo CX, Zhang XZ, Zou XW, Yao WY, Liang TB, Bai XL. Predicting surgical site infections using a novel nomogram in patients with hepatocelluar carcinoma undergoing hepatectomy. World J Clin Cases 2019; 7(16): 2176-2188 |
| URL |
https://www.wjgnet.com/2307-8960/full/v7/i16/2176.htm |
| DOI |
https://dx.doi.org/10.12998/wjcc.v7.i16.2176 |
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