ArticleScientific reports2024
The prognostic value and model construction of inflammatory markers for patients with non-small cell lung cancer.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Immune-inflammatory-fibrinogen score as a novel prognostic biomarker in patients with gastric cancer undergoing radical gastrectomy: a multicenter study.World journal of surgical oncology · 2026Trial
- Inflammatory marker-driven deep learning model for postoperative gastric cancer prognosis.BMC medical informatics and decision making · 2026Article
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- Pretreatment neutrophil-lymphocyte ratio and platelet-lymphocyte ratio as prognostic biomarkers for neuroblastoma risk stratification.Frontiers in immunology · 2026Article
- Prognostic Value of Routine Hematological Markers and ECOG Performance in Predicting Overall Survival in Lung Cancer-A Retrospective Cohort Study and Literature Review.Journal of clinical medicine · 2025Article
- Human Leukocyte Antigen-DR Expression on Monocytes Is a Useful Predictor in a Systemic Inflammation Response-Based Prognostic Model in Advanced Non-Small Cell Lung Cancer.International journal of molecular sciences · 2025Article
- Risk prediction model for overall survival in lung cancer based on inflammatory and nutritional markers.Scientific reports · 2025Article
- Peripheral Circulating Blood Cells Deviation Based on Tumor Inflammatory Microenvironment Activity in Resected Upstaged Lung Adenocarcinomas.Journal of clinical medicine · 2024Article
- Nomogram prediction model for overall survival of late-stage lung cancer patients undergoing iodine-125 particle implantation brachytherapy.Journal of contemporary brachytherapy · 2024Article
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Authors and funding
7 authors.
Funding
Abstract
The aim of this study was to investigate and analyse the predictive value of systemic inflammatory markers based on peripheral blood biomarkers for the prognosis of non-small cell lung cancer (NSCLC) patients. Based on a retrospective monitoring cohort of 973 NSCLC patients from an Affiliated Tumor Hospital from 2012 to 2023. The log-rank test and Cox proportional risk regression model were used to identify independent prognostic inflammatory markers. Subsequently, a nomogram prediction model was constructed and evaluated. The results of multivariate Cox regression analysis showed that patients with high NLR group (HR = 1.238, 95% CI 1.015-1.510, P = 0.035), and high CAR group (HR = 1.729, 95% CI 1.408-2.124, P < 0.001) were risk factors affecting the prognosis of NSCLC patients. The nomogram that includes age, tumor stage, smoking history, BMI, NLR, and CAR can effectively predict the prognosis of NSCLC patients.The inflammatory markers NLR and CAR, which combine inflammatory and nutritional status, are effective predictors of the prognosis of NSCLC patients. The combination of clinical information and these easily accessible inflammatory markers has significant research value for prognostic assessment, clinical treatment, and follow-up monitoring of NSCLC patients.
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