Evidence map›Paper›PMID 41810734›Full record

ArticleClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis

The Systemic Immune-Inflammation Index Predicts Portal Vein Tumor Thrombosis and Informs a Clinical Nomogram in HBV-Related Hepatocellular Carcinoma.

Runci Jiang, Shuqin Cheng, Lu Jiang, Yuexi Yu, Menghua Lin, Yiping Zhang, Jingyu Shen, Guliziba Abudumijiti, Boyuan Xiao, Haoyang Pang and 1 more

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Article in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Runci JiangFirst Central Hospital of Tianjin Medical University, Tianjin, China.
Shuqin ChengFirst Central Hospital of Tianjin Medical University, Tianjin, China.
Lu JiangFirst Central Hospital of Tianjin Medical University, Tianjin, China.
Yuexi YuFirst Central Hospital of Tianjin Medical University, Tianjin, China.
Menghua LinFirst Central Hospital of Tianjin Medical University, Tianjin, China.
Yiping ZhangFirst Central Hospital of Tianjin Medical University, Tianjin, China.
Jingyu ShenFirst Central Hospital of Tianjin Medical University, Tianjin, China.
Guliziba AbudumijitiFirst Central Hospital of Tianjin Medical University, Tianjin, China.
Boyuan XiaoFirst Central Hospital of Tianjin Medical University, Tianjin, China.
Haoyang PangFirst Central Hospital of Tianjin Medical University, Tianjin, China.
Fengmei WangTianjin Key Laboratory of Molecular Diagnosis and Treatment of Liver Cancer, Tianjin First Central Hospital, Tianjin, China.ORCID 0000-0002-1313-4169

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundThis study aims to investigate the potential association between the incidence of portal vein tumor thrombosis (PVTT) and a panel of inflammatory indices-namely the systemic immune-inflammatory index (SII), platelet-to-lymphocyte ratio (PLR), and neutrophil-to-lymphocyte ratio (NLR)-in patients with HBV-related hepatocellular carcinoma (HCC).MethodsCovariates were identified through univariate and multivariate logistic regression analyses alongside the variance inflation factor (VIF). The associations of inflammatory biomarkers were evaluated using subgroup analyses, multivariate logistic regression, and restricted cubic spline (RCS) models. A nomogram was developed based on the selected variables, and calibration curves were plotted to assess the predictive accuracy of the model. Receiver operating characteristic (ROC) curves were generated, and the area under the curve (AUC) was calculated to evaluate the diagnostic performance of the model.ResultsIn this study of 504 HBV-related HCC patients, PVTT was identified in 22.02% of cases. Multivariate analysis confirmed SII and PLR as independent risk factors for PVTT, with the third quartile of SII and PLR associated with 109.7% and 122.6% increased risk, respectively. A nonlinear dose-response relationship for SII was identified with an inflection point at 467.5. A nomogram incorporating SII and five clinical variables demonstrated good predictive accuracy (AUC = 0.760) and high specificity (84%), supporting its utility for clinical risk stratification.ConclusionsThe SII was identified as an independent risk factor for PVTT in patients with HBV-related HCC.

Indexed as

Carcinoma, HepatocellularHepatitis BHepatitis B virusInflammationLiver NeoplasmsNomogramsPortal VeinVenous ThrombosisAdultFemaleHumansMaleMiddle Agedhepatitis B virus-related hepatocellular carcinomaneutrophil-to-lymphocyte ratioplatelet-to-lymphocyte ratioportal vein tumor thrombosissystemic immune-inflammatory index

Identifiers

PMID41810734
PMCPMC12979914

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.