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Development and validation of a novel nomogram for predicting overall survival in gastric cancer based on inflammatory markers

BACKGROUND: Nearly 66% of occurrences of gastric cancer (GC), which has the second-highest death rate of all cancers, arise in developing countries. In several cancers, the predictive significance of inflammatory markers has been established. AIM: To identify clinical characteristics and develop a s...

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Autores principales: Luo, Pan-Quan, Song, En-Dong, Liu, Fei, Rankine, Abigail N, Zhang, Li-Xiang, Wei, Zhi-Jian, Han, Wen-Xiu, Xu, A-Man
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896496/
https://www.ncbi.nlm.nih.gov/pubmed/36741063
http://dx.doi.org/10.4240/wjgs.v15.i1.49
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author Luo, Pan-Quan
Song, En-Dong
Liu, Fei
Rankine, Abigail N
Zhang, Li-Xiang
Wei, Zhi-Jian
Han, Wen-Xiu
Xu, A-Man
author_facet Luo, Pan-Quan
Song, En-Dong
Liu, Fei
Rankine, Abigail N
Zhang, Li-Xiang
Wei, Zhi-Jian
Han, Wen-Xiu
Xu, A-Man
author_sort Luo, Pan-Quan
collection PubMed
description BACKGROUND: Nearly 66% of occurrences of gastric cancer (GC), which has the second-highest death rate of all cancers, arise in developing countries. In several cancers, the predictive significance of inflammatory markers has been established. AIM: To identify clinical characteristics and develop a specific nomogram to determine overall survival for GC patients. METHODS: Nine hundred and four GC patients treated at the First Affiliated Hospital of Anhui Medical University between January 2010 and January 2013 were recruited. Prognostic risk variables were screened for Cox analysis. The C index, receiver operator characteristic (ROC) curve, and decision curve analysis were used to evaluate the nomogram. RESULTS: Tumor node metastasis stage, carcinoembryonic antigen, systemic immune-inflammation index, and age were identified as independent predictive variables by multivariate analysis. Systemic immune-inflammation index value was superior to that of other inflammatory indicators. The ROC indicated the nomogram had a higher area under the curve than other factors, and its C-index for assessing the validation and training groups of GC patients was extremely reliable. CONCLUSION: We created a novel nomogram to forecast the prognosis of GC patients following curative gastrectomy based on blood markers and other characteristics. Both surgeons and patients can benefit significantly from this new scoring system.
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spelling pubmed-98964962023-02-04 Development and validation of a novel nomogram for predicting overall survival in gastric cancer based on inflammatory markers Luo, Pan-Quan Song, En-Dong Liu, Fei Rankine, Abigail N Zhang, Li-Xiang Wei, Zhi-Jian Han, Wen-Xiu Xu, A-Man World J Gastrointest Surg Retrospective Study BACKGROUND: Nearly 66% of occurrences of gastric cancer (GC), which has the second-highest death rate of all cancers, arise in developing countries. In several cancers, the predictive significance of inflammatory markers has been established. AIM: To identify clinical characteristics and develop a specific nomogram to determine overall survival for GC patients. METHODS: Nine hundred and four GC patients treated at the First Affiliated Hospital of Anhui Medical University between January 2010 and January 2013 were recruited. Prognostic risk variables were screened for Cox analysis. The C index, receiver operator characteristic (ROC) curve, and decision curve analysis were used to evaluate the nomogram. RESULTS: Tumor node metastasis stage, carcinoembryonic antigen, systemic immune-inflammation index, and age were identified as independent predictive variables by multivariate analysis. Systemic immune-inflammation index value was superior to that of other inflammatory indicators. The ROC indicated the nomogram had a higher area under the curve than other factors, and its C-index for assessing the validation and training groups of GC patients was extremely reliable. CONCLUSION: We created a novel nomogram to forecast the prognosis of GC patients following curative gastrectomy based on blood markers and other characteristics. Both surgeons and patients can benefit significantly from this new scoring system. Baishideng Publishing Group Inc 2023-01-27 2023-01-27 /pmc/articles/PMC9896496/ /pubmed/36741063 http://dx.doi.org/10.4240/wjgs.v15.i1.49 Text en ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/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/
spellingShingle Retrospective Study
Luo, Pan-Quan
Song, En-Dong
Liu, Fei
Rankine, Abigail N
Zhang, Li-Xiang
Wei, Zhi-Jian
Han, Wen-Xiu
Xu, A-Man
Development and validation of a novel nomogram for predicting overall survival in gastric cancer based on inflammatory markers
title Development and validation of a novel nomogram for predicting overall survival in gastric cancer based on inflammatory markers
title_full Development and validation of a novel nomogram for predicting overall survival in gastric cancer based on inflammatory markers
title_fullStr Development and validation of a novel nomogram for predicting overall survival in gastric cancer based on inflammatory markers
title_full_unstemmed Development and validation of a novel nomogram for predicting overall survival in gastric cancer based on inflammatory markers
title_short Development and validation of a novel nomogram for predicting overall survival in gastric cancer based on inflammatory markers
title_sort development and validation of a novel nomogram for predicting overall survival in gastric cancer based on inflammatory markers
topic Retrospective Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896496/
https://www.ncbi.nlm.nih.gov/pubmed/36741063
http://dx.doi.org/10.4240/wjgs.v15.i1.49
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