ArticleMediators of inflammation2022
The Diagnostic Value of the Systemic Immune-Inflammation Index for Venous Thromboembolism in Lung Cancer Patients: A Retrospective Study.
Article in Mediators of inflammation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Systemic Immune-Inflammation Index, Thrombotic Status, and Mortality in Patients with Cancer: A Matched Cohort Study.Diseases (Basel, Switzerland) · 2026Article
- Neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, and systemic immune-inflammation index as predictors of venous thromboembolism in patients with diffuse large B-cell lymphoma.Thrombosis journal · 2026Article
- Systemic immune-inflammation index as a predictor of venous thromboembolism in NSCLC patients treated with ICIs: a retrospective study.BMC pulmonary medicine · 2026Article
- Association of systemic immune-inflammation index with all-cause mortality in lung cancer patients undergoing radiotherapy: a retrospective cohort study.Frontiers in oncology · 2026Article
- The Value of the Preoperative Hematological Inflammatory Markers for Predicting Lymphovascular Invasion in Gastric Cancer.ImmunoTargets and therapy · 2026Article
- The impact of preoperative immunonutritional status on postoperative complications in ovarian cancer.Journal of ovarian research · 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
- A nomogram to predict the risk of venous thromboembolism in patients with colon cancer in China.Cancer medicine · 2024Article
- Review
- Lung cancer and risk of cardiovascular mortality.Frontiers in cardiovascular medicine · 2024Article
- Blood cell indices and inflammation-related markers with kidney cancer risk: a large-population prospective analysis in UK Biobank.Frontiers in oncology · 2024Article
- Preoperative Systemic Immune-Inflammatory Index as a Predictive Biomarker for Lower Extremity Deep Vein Thrombosis after Breast Cancer Surgery: Stratified Nursing Intervention to Reduce Incidence.Medical science monitor : international medical journal of experimental and clinical research · 2023Article
- Association between systemic immune-inflammation index and chronic obstructive pulmonary disease: a population-based study.BMC pulmonary medicine · 2023Article
- The predictive value of the systemic immune-inflammatory index for left atrial appendage thrombus in non-valvular atrial fibrillation.Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia · 2023Article
- Management of venous thromboembolism in patients with lung cancer: a state-of-the-art review.BMJ open respiratory research · 2023Review
- Nomogram model combined thrombelastography for venous thromboembolism risk in patients undergoing lung cancer surgery.Frontiers in physiology · 2023Article
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Background: Venous thromboembolism (VTE) is considered a common complication in lung cancer patients. Despite its widespread use, the Khorana score performed moderately in predicting VTE risk. This study aimed to determine the diagnostic utility of the Systemic Immunoinflammatory Index (SII) and to create a novel nomogram for predicting VTE in patients with pulmonary carcinoma. Materials and Methods: The data, like clinical features and laboratory indicators, of inpatients diagnosed with lung cancer from March 2019 to March 2020 were collected and analyzed. Univariate and multivariate logistic analyses were performed to confirm the risk factors and then construct a nomogram model. The calibration curve and clinical decision curve analysis (DCA) were used to assess the model's fitting performance. The receiver-operating characteristic (ROC) curve and the area under the ROC curve (AUC) were used to evaluate the diagnostic value of SII and the nomogram. Results: This study enrolled 369 lung patients with a VTE morbidity rate of 23.33%. The patients with VTE had higher SII levels than the non-VTE group (1441.47 ± 146.28 vs. 626.76 ± 26.04, Conclusion: The SII was a simple and valuable biomarker for VTE, and the new nomogram model based on it can accurately forecast the occurrence of VTE. They can be utilized in clinical practice to identify those at high risk of VTE in lung cancer patients.
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