ArticleScientific reports2017
Limitations of predicting microvascular invasion in patients with hepatocellular cancer prior to liver transplantation.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Pretransplant Immune Checkpoint Inhibitor Treatment for Intermediate-advanced Hepatocellular Carcinoma in Living Donor Liver Transplantation.Transplantation direct · 2025Article
- Chinese expert consensus on the diagnosis and treatment of hepatocellular carcinoma with microvascular invasion (2024 edition).Hepatobiliary surgery and nutrition · 2025Review
- Revisiting Surgical Strategies for Hepatocellular Carcinoma With Microvascular Invasion.Frontiers in oncology · 2021Review
- Overexpression of Epcam and CD133 Correlates with Poor Prognosis in Dual-phenotype Hepatocellular Carcinoma.Journal of Cancer · 2020Article
- Circular RNA 0068669 as a new biomarker for hepatocellular carcinoma metastasis.Journal of clinical laboratory analysis · 2018Article
- CombiningScientific reports · 2017Article
- Review
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microvascular invasion (MVI) is well known to negatively influence outcomes following surgical treatment of hepatocellular cancer (HCC) patients. The aim of this study was to evaluate the rationale for prediction of MVI before liver transplantation (LT). Data of 200 HCC patients after LT were subject to retrospective analysis. MVI was present in 57 patients (28.5%). Tumor number (p = 0.001) and size (p = 0.009), and alpha-fetoprotein (p = 0.049) were independent predictors of MVI used to create a prediction model, defined as: 0.293x(tumor number) + 0.283x(tumor size in cm) + 0.164xlog
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