ArticleScientific reports2024
Development of a nomogram for deep vein thrombosis in patients with tibial plateau fractures based on systemic Immune-inflammation index.
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 6 papers, 2 of them syntheses that pooled it.
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Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Systemic Inflammatory Indexes as Predictors of Delirium, Thromboembolic Events, and Mortality After Hip Fracture and Major Orthopedic Surgery: A Meta-Analysis.Journal of Korean medical science · 2026Pooled it
- Prognostic Role of Blood Inflammatory Composite Biomarkers in Dvt After Lower Extremity Fractures.The Iowa orthopaedic journal · 2026Pooled it
- Systemic immune-inflammation index as a predictor of venous thromboembolism in NSCLC patients treated with ICIs: a retrospective study.BMC pulmonary medicine · 2026Article
- Preoperative deep vein thrombosis in tibial plateau fractures: development and internal validation of an interpretable multivariable machine-learning diagnostic model.Frontiers in medicine · 2026Article
- Delayed surgery can increase the preoperative DVT risk in patients with tibial plateau fractures: a retrospective association analysis.Thrombosis journal · 2025Article
- Assessing surgical trauma in robot-assisted pelvic fracture fixation: the role of the systemic immune-inflammatory index.Frontiers in surgery · 2025Article
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7 authors.
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Abstract
In recent years, the incidence of tibial plateau fractures (TPF) has been on the rise. Deep vein thrombosis (DVT) may lead to poor prognosis in patients. The systemic immune-inflammation index(SII) are novel biomarkers of inflammation, and this study aims to verify their predictive effect and construct the nomogram model. This study used binary logistic regression analysis to predict the predictive effect of SII on the occurrence of DVT in tibial plateau fracture patients. And use R studio to construct nomogram model. The results showed that Age (1.03 [1, 1.06], p = 0.032), SII (3.57 [1.68, 7.61], p = 0.04), and NC (7.22 [3.21, 16.26], p < 0.001) were independent predictive factors for DVT. The nomogram demonstrated good predictive performance with small errors in both the training and validation groups, and most clinical patients could benefit from them. The nomogram constructed based on SII can assist clinicians in early assessment of the probability of DVT occurrence.
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