ArticleScientific reports2023
The cancer inflammation prognostic index is a valuable biomarker for predicting the survival of patients with stage I-III colorectal cancer.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- The prognostic value of the albumin/neutrophil-to-lymphocyte ratio in colorectal cancer patients: a retrospective cohort study.Frontiers in oncology · 2026Article
- Combined preoperative platelet-albumin ratio and cancer inflammation prognostic index predicts prognosis in colorectal cancer: a retrospective study.Scientific reports · 2025Article
- Diagnostic value of peripheral blood inflammatory indices for clinicopathological profile of colorectal cancer: a retrospective observational study.BMC gastroenterology · 2025Observational
- Interleukin-6 as a Pan-Cancer Prognostic Inflammatory Biomarker: A Population-Based Study and Comprehensive Bioinformatics Analysis.Journal of inflammation research · 2025Article
- The association between neutrophil percentage to albumin ratio and progression-free survival and overall survival in colorectal cancer patients: a retrospective cohort study.Frontiers in nutrition · 2025Article
- Assessing the clinical utility of tumor invasion proportion of lymph nodes for enhanced risk stratification in N1 colorectal cancer.American journal of cancer research · 2024Article
- Prognostic Value of the Cancer Inflammation Prognostic Index (CIPI) in De Novo Metastatic Colon Cancer: A Multicenter Retrospective Cohort Study.Cancer control : journal of the Moffitt Cancer CenterArticle
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7 authors.
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Abstract
This study aimed to assess the relationship between the Cancer-Inflammation Prognostic Index (CIPI) and disease-free survival (DFS) and overall survival (OS) in patients with stage I-III colorectal cancer (CRC). The relationship between the CIPI and survival was evaluated using restricted cubic splines. Survival curves were established using the Kaplan-Meier method and the log-rank test. Cox proportional hazards models were used to explore independent prognostic factors for CRC. Meaningful variables from the multivariate analysis were used to construct prognostic nomograms. The relationship between the CIPI values on a continuous scale and the risk of DFS/OS mortality was an inverted L-shape. Patients with a high CIPI had significantly lower DFS (53.0% vs. 68.5%, p < 0.001) and OS (55.5% vs. 71.7%, p < 0.001) than those with a low CIPI. The CIPI can also serve as an effective auxiliary tool to further distinguish the prognosis of patients with CRC at the same pathological stage, especially for stages II and III. After multivariate adjustment, a high CIPI was found to be an independent risk factor for DFS (HR 1.443, 95% CI 1.203-1.730, p < 0.001) and OS (HR 1.442, 95% CI 1.189-1.749, p < 0.001) in CRC patients. These nomograms have the advantage of integrating individual profiles, tumour characteristics, and serum inflammatory markers, providing favourable discrimination and calibration values. Compared with traditional TNM staging, nomograms have a better predictive performance. The CIPI is an effective and easy-to-use clinical tool for predicting the recurrence and overall mortality of patients with stage I-III CRC.
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