ArticleJournal of hepatocellular carcinoma2024
Development and Validation of a Novel Prognostic Nomogram Based on Platelet and CD8
Article in Journal of hepatocellular carcinoma, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Portal Vein Tumor Thrombus in Hepatocellular Carcinoma: An Immune Sanctuary Driving Immune Exclusion and Therapeutic Resistance.Liver cancer · 2026Review
- Radiographic evidence of thymic involution in hepatocellular carcinoma: a propensity score-matched study in viral cirrhosis.Frontiers in immunology · 2026Article
- Immune escape in portal vein tumor thrombus: an intravascular tumor-immune niche framework for hepatocellular carcinoma.Frontiers in immunology · 2026Review
- Prognostic Significance of Elevated Platelet Count (>200 x 10^9 per L) in BCLC Stages B and C of Hepatocellular Carcinoma: A Retrospective Multicenter Analysis.Journal of hepatocellular carcinoma · 2025Article
- Development and verification of a nomogram for predicting portal vein tumor thrombosis in hepatocellular carcinoma.American journal of translational research · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Portal vein tumor thrombosis (PVTT) is one of the hallmarks of advanced Hepatocellular carcinoma (HCC). Platelet (PLT) function parameters and CD8 Patients and Methods: This retrospective study collected 932 HCC patients with PVTT from 2007 to 2017 and randomly divided them into a training cohort (n = 656) and a validation cohort (n = 276). We performed multivariable Cox and Elastic-net regression analysis, constructed a nomogram and used Kaplan-Meier survival curves to compare overall survival and progression-free survival rates in different substrata. Relationships between indicators involved were also analyzed. Results: We found tumor number, size, treatment, PLT, γ-glutamyl transferase, alpha-fetoprotein, mean platelet volume, and CD8 Conclusion: We established a well-performing prognostic model for PVTT based on platelet functional parameters and CD8
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Registered trials
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