ArticleAmerican journal of translational research2023
A novel prognostic scoring system to predict portal vein tumor thrombosis in patients with hepatitis B virus-associated hepatocellular carcinoma.
Article in American journal of translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Combined DeRitis ratio and alkaline phosphatase on the prediction of portal vein tumor thrombosis in patients with hepatocellular carcinoma.Scientific reports · 2024Article
- Development and Validation of a Novel Prognostic Nomogram Based on Platelet and CD8Journal of hepatocellular carcinoma · 2024Article
- The Systemic Immune-Inflammation Index Predicts Portal Vein Tumor Thrombosis and Informs a Clinical Nomogram in HBV-Related Hepatocellular Carcinoma.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisArticle
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Authors and funding
8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
purposeHepatocellular carcinoma (HCC) with portal vein tumor thrombus (PVTT) is associated with a poor prognosis for HCC patients. Herein we aimed to establish a scoring system to predict the risk of PVTT formation in hepatitis B virus (HBV)-associated HCC.
methodsA total of 848 patients from the Henan Province Traditional Chinese Medicine (TCM) Hospital with HCC were included in the study. Among them, 403 with and 445 without PVTT were retrospectively analyzed to identify the risk factors for PVTT formation, using a novel scoring system to predict the occurrence of PVTT in HBV-associated HCC patients. The scoring system was validated using clinical data from the First Affiliated Hospital of Henan University of TCM. Significant findings: The Cox proportional-hazard regression model revealed that gender, tumor size, the neutrophil-lymphocyte ratio, and alpha-fetoprotein and C-reactive protein concentrations were dependent clinical prognostic factors for PVTT, which were included in the final scoring model for PVTT prediction (AUC, 0.858; 95% CI: 0.832 to 0.881). The scoring model ranked HCC patients into 3 risk grades. A sensitivity analysis for validation of the scoring system was performed on 489 patients with HBV-related HCC. The proportion of patients in each grade was not significantly different.
conclusionsThe study established a risk warning system for PVTT prediction in HCC patients. More substantial clinical data will be necessary to confirm these findings.
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37560212PMC10408526What OpenQuestion holds
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