Long Y, Zhou XL, Zhang CL, Wang YN, Pan WS. Nomogram based on clinical characteristics for predicting overall survival in gastric cancer patients with preoperative anemia. World J Gastrointest Surg 2023; 15(7): 1375-1387 [PMID: 37555125 DOI: 10.4240/wjgs.v15.i7.1375]
Corresponding Author of This Article
Wen-Sheng Pan, MD, Doctor, Department of Gastroenterology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, No. 158 Shangtang Road, Gongshu District, Hangzhou 310014, Zhejiang Province, China. wspan223@163.com
Research Domain of This Article
Gastroenterology & Hepatology
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Retrospective Study
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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/
Jul 27, 2023 (publication date) through Feb 15, 2026
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Journal Information of This Article
Publication Name
World Journal of Gastrointestinal Surgery
ISSN
1948-9366
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
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Long Y, Zhou XL, Zhang CL, Wang YN, Pan WS. Nomogram based on clinical characteristics for predicting overall survival in gastric cancer patients with preoperative anemia. World J Gastrointest Surg 2023; 15(7): 1375-1387 [PMID: 37555125 DOI: 10.4240/wjgs.v15.i7.1375]
World J Gastrointest Surg. Jul 27, 2023; 15(7): 1375-1387 Published online Jul 27, 2023. doi: 10.4240/wjgs.v15.i7.1375
Nomogram based on clinical characteristics for predicting overall survival in gastric cancer patients with preoperative anemia
Yan Long, Xiao-Lu Zhou, Cheng-Long Zhang, Ya-Nan Wang, Wen-Sheng Pan
Yan Long, Xiao-Lu Zhou, Wen-Sheng Pan, Department of Gastroenterology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou 310014, Zhejiang Province, China
Cheng-Long Zhang, Department of Traumatology, the Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong Province, China
Ya-Nan Wang, College of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou 310014, Zhejiang Province, China
Author contributions: All authors designed the study; Long Y, Zhou XL, Zhang CL, and Wang YN contributed to data collection; Long Y and Zhou XL contributed to manuscript preparation; Long Y, Zhou XL, Zhang CL, and Wang NY contributed to data analysis and interpretation; All authors acknowledge that they participated in critically revising the manuscript for important intellectual content and reading and approving the final draft submitted, and are accountable for the content of the manuscript.
Supported bythe Major Science and Technology Project of Zhejiang Provincial Department of Science and Technology, No. 2020C03030; and the Medical Health Science and Technology Project of Zhejiang Provincial Health Commission, No. 2022503200.
Institutional review board statement: This study was authorized by the Ethics Committee of Zhejiang Provincial People's Hospital, No. 2019KY017.
Informed consent statement: This study was eligible for waiver of informed consent.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: No additional data are available.
Received: January 5, 2023 Peer-review started: January 5, 2023 First decision: April 3, 2023 Revised: April 20, 2023 Accepted: May 26, 2023 Article in press: May 26, 2023 Published online: July 27, 2023 Processing time: 197 Days and 7.9 Hours
ARTICLE HIGHLIGHTS
Research background
There are differences in prognosis among anemic patients, with some having a relatively good prognosis, but no one has proposed a predictive model for postoperative overall survival (OS) in gastric cancer (GC) patients with preoperative anemia.
Research motivation
To predict postoperative OS in GC patients with preoperative anemia using a nomogram.
Research objectives
The purpose of this study was to determine the effect of preoperative anemia on the prognosis of GC patients and generate a prognostic nomogram to predict the postoperative OS of GC patients with preoperative anemia.
Research methods
Clinicopathological and follow-up data of GC patients treated at Zhejiang Provincial People's Hospital (China) from 2010 to 2015 were collected. Independent prognostic factors were screened by univariate and multivariate Cox regression analyses. Then, these factors were used to construct a nomogram.
Research results
The area under the operating characteristic (ROC) curve (AUC) of the nomogram for predicting the 1-, 3-, and 5-year OS were 0.831, 0.845, and 0.840, respectively, for the training cohort, and the corresponding AUC values in the validation cohort were 0.827, 0.829, and 0.812, respectively. Calibration curves and decision curve analysis indicated good performance of the nomogram.
Research conclusions
We have successfully produced and verified a useful nomogram for predicting OS in preoperatively anemic GC patients.
Research perspectives
Our study provides a tool for predicting OS by known clinicopathological and follow-up data.
