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The Value of the C-Reactive Protein-to-Lymphocyte Ratio for Predicting Lymphovascular Invasion Based on Nutritional Status in Gastric Cancer

Preoperative nutrition and inflammation are closely related to tumors (T). Many hematological marker assessment tools comprise nutritional and systemic inflammatory indexes, evaluating essential factors for cancer nutrition, growth, and progression. This study retrospectively investigated whether th...

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Autores principales: Xu, Rui, Xiao, Shuomeng, Ding, Zhi, Zhao, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201353/
https://www.ncbi.nlm.nih.gov/pubmed/35695253
http://dx.doi.org/10.1177/15330338221106517
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author Xu, Rui
Xiao, Shuomeng
Ding, Zhi
Zhao, Ping
author_facet Xu, Rui
Xiao, Shuomeng
Ding, Zhi
Zhao, Ping
author_sort Xu, Rui
collection PubMed
description Preoperative nutrition and inflammation are closely related to tumors (T). Many hematological marker assessment tools comprise nutritional and systemic inflammatory indexes, evaluating essential factors for cancer nutrition, growth, and progression. This study retrospectively investigated whether the C-reactive protein (CRP)-to-lymphocyte ratio (CLR) could predict lymphovascular invasion (LVI) in gastric cancer (GC) patients based on their nutritional status. We included 262 patients who underwent GC surgery between 2019 and 2020. The patient's nutritional status was assessed using the Patient-Generated Subjective Global Assessment (PG-SCA), and patients with scores ≥4 were classified as malnourished. First, we examined 7 hematological marker combinations using receiver operating characteristic (ROC) curves to determine which one best predicted malnutrition. The CLR predicted malnutrition more accurately than other ratios (area under the curve: 0.62, 95% confidence interval [CI]: 0.55-0.69, P = .002); the optimal cut-off value for malnutrition was 1.04. Next, we evaluated the relationship between the 7 combinations and postoperative LVI. A CLR higher than 1.04 (odds ratio [OR]: 1.81, 95% CI: 1.09-3.00, P = .021) and a platelet-to-lymphocyte ratio (PLR) higher than 129.00 (OR: 1.64, 95% CI: 1.00-2.67, P = .049) were associated with LVI in the univariate analysis, and the CLR was an independent predictor of LVI in the multivariate analysis (OR: 1.73, 95% CI: 1.04-2.87, P = .036). The preoperative CLR can assess nutritional status and independently predict LVI in GC.
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spelling pubmed-92013532022-06-17 The Value of the C-Reactive Protein-to-Lymphocyte Ratio for Predicting Lymphovascular Invasion Based on Nutritional Status in Gastric Cancer Xu, Rui Xiao, Shuomeng Ding, Zhi Zhao, Ping Technol Cancer Res Treat Original Article Preoperative nutrition and inflammation are closely related to tumors (T). Many hematological marker assessment tools comprise nutritional and systemic inflammatory indexes, evaluating essential factors for cancer nutrition, growth, and progression. This study retrospectively investigated whether the C-reactive protein (CRP)-to-lymphocyte ratio (CLR) could predict lymphovascular invasion (LVI) in gastric cancer (GC) patients based on their nutritional status. We included 262 patients who underwent GC surgery between 2019 and 2020. The patient's nutritional status was assessed using the Patient-Generated Subjective Global Assessment (PG-SCA), and patients with scores ≥4 were classified as malnourished. First, we examined 7 hematological marker combinations using receiver operating characteristic (ROC) curves to determine which one best predicted malnutrition. The CLR predicted malnutrition more accurately than other ratios (area under the curve: 0.62, 95% confidence interval [CI]: 0.55-0.69, P = .002); the optimal cut-off value for malnutrition was 1.04. Next, we evaluated the relationship between the 7 combinations and postoperative LVI. A CLR higher than 1.04 (odds ratio [OR]: 1.81, 95% CI: 1.09-3.00, P = .021) and a platelet-to-lymphocyte ratio (PLR) higher than 129.00 (OR: 1.64, 95% CI: 1.00-2.67, P = .049) were associated with LVI in the univariate analysis, and the CLR was an independent predictor of LVI in the multivariate analysis (OR: 1.73, 95% CI: 1.04-2.87, P = .036). The preoperative CLR can assess nutritional status and independently predict LVI in GC. SAGE Publications 2022-06-12 /pmc/articles/PMC9201353/ /pubmed/35695253 http://dx.doi.org/10.1177/15330338221106517 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Article
Xu, Rui
Xiao, Shuomeng
Ding, Zhi
Zhao, Ping
The Value of the C-Reactive Protein-to-Lymphocyte Ratio for Predicting Lymphovascular Invasion Based on Nutritional Status in Gastric Cancer
title The Value of the C-Reactive Protein-to-Lymphocyte Ratio for Predicting Lymphovascular Invasion Based on Nutritional Status in Gastric Cancer
title_full The Value of the C-Reactive Protein-to-Lymphocyte Ratio for Predicting Lymphovascular Invasion Based on Nutritional Status in Gastric Cancer
title_fullStr The Value of the C-Reactive Protein-to-Lymphocyte Ratio for Predicting Lymphovascular Invasion Based on Nutritional Status in Gastric Cancer
title_full_unstemmed The Value of the C-Reactive Protein-to-Lymphocyte Ratio for Predicting Lymphovascular Invasion Based on Nutritional Status in Gastric Cancer
title_short The Value of the C-Reactive Protein-to-Lymphocyte Ratio for Predicting Lymphovascular Invasion Based on Nutritional Status in Gastric Cancer
title_sort value of the c-reactive protein-to-lymphocyte ratio for predicting lymphovascular invasion based on nutritional status in gastric cancer
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201353/
https://www.ncbi.nlm.nih.gov/pubmed/35695253
http://dx.doi.org/10.1177/15330338221106517
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