ArticleHeliyon2024
Clinical significance of systemic inflammation response index and platelet-lymphocyte ratio in patients with adenocarcinoma of the esophagogastric junction and upper gastric cancer.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Integrating inflammation-based scores into gastric cancer prognosis.World journal of gastrointestinal surgery · 2026Article
- Clinical significance of systemic inflammation response index and platelet-lymphocyte ratio in patients with stage I-III gastric cancer.World journal of gastrointestinal surgery · 2025Article
- Preliminary study on SIRI dynamic changes for the efficacy prediction and prognosis evaluation of advanced cancer patients treated with immunotherapy.Discover oncology · 2025Article
- Development of a prognostic oxidative stress-immune-inflammation score and online calculators for predicting survival and recurrence in gastric cancer: a multicenter study.Surgical endoscopy · 2025Article
- The Clinical Value of the Combined Detection of Systemic Immune-Inflammation Index (SII), Systemic Inflammation Response Index (SIRI), and Prognostic Nutritional Index (PNI) in Early Diagnosis of Gastric Cancer.Journal of inflammation research · 2025Article
- Advancing prognostic precision in gastric cancer with an immunoinflammatory index.World journal of gastroenterology · 2024Article
- An Exploratory Assessment of Pre-Treatment Inflammatory Profiles in Gastric Cancer Patients.Diseases (Basel, Switzerland) · 2024Article
- Article
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Authors and funding
7 authors.
Funding
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Abstract
Background: Tumor immunity plays an important role in assessing the tumor progression. The purpose of this study was to investigate the prognostic value of combined systemic inflammation response index (SIRI) and platelet-lymphocyte ratio (PLR) of gastroesophageal junction cancer (AEG) and upper gastric cancer (UGC) patients. Methods: In this retrospective study, patients from 2003 to 2014 were divided into training and validation sets. The prognostic accuracy of each variable was compared using time-independent ROC analysis. The scoring system was calculated by cut-off values of SIRI and PLR in 5-year. Kaplan-Meier and Log-rank tests were used to analyze overall survival (OS). Chi-square test was used to analyze the association between clinical characteristics and the scoring system. Univariate and multivariate analyses based on the competitive risk regression model were used to analyze independent predictors of death due to AGC and UGC. R software was used to construct the Nomogram model of risk assessment. Results: Patients with SIRI-PLR = 2 had worse survival time than those with 0 and 1 ( Conclusions: Preoperative SIRI-PLR score was an independent predictor for patients with AEG and UGC. The Nomogram model constructed by age, SIRI-PLR, pTNM stage and postoperative chemotherapy can correctly predict the prognosis of patients.
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