ArticleJournal of medical biochemistry2022
Preoperative prealbumin-to-fibrinogen ratio to predict survival outcomes in hepatocellular carcinoma patients after hepatic resection.
Article in Journal of medical biochemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Analysis of the effect of platelet-derived growth factor combined with T cells in the diagnosis of hepatocellular carcinoma and prognostic assessment: A prospective cohort study.Journal of medical biochemistry · 2026Article
- The Roles and Clinical Significance of Major Hepatic-Derived Metabolites in Hepatocellular Carcinoma.Journal of gastroenterology and hepatology · 2025Review
- Prognostic value of preoperative fibrinogen, neutrophil-to-lymphocyte ratio, serum alpha-fetoprotein, and prealbumin for patients with primary liver cancer undergoing transarterial chemoembolization.World journal of gastrointestinal oncology · 2025Article
- A novel nomogram based on machine learning predicting overall survival for hepatocellular carcinoma patients with dynamic α‑fetoprotein level changes after local resection.Oncology letters · 2025Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: This study aimed to evaluate the clinical application of the preoperative prealbumin-to-fibrinogen ratio (PFR) in the clinical diagnosis of hepatocellular carcinoma (HCC) patients and its prognostic value. Methods: The clinical and laboratory data of 269 HCC patients undergoing surgical treatment from January 2012 to January 2017 in Taizhou Hospital were retrospectively analysed. The Cox regression model was used to analyse the correlation between the PFR and other clinicopathological factors in overall survival (OS) and disease-free survival (DFS). Results: Cox regression analysis showed that the PFR (hazard ratio (HR)=2.123; 95% confidence interval (95% CI), 1.271-3.547; P=0.004) was an independent risk factor affecting the OS of HCC patients. Furthermore, a nomogram was built based on these risk factors. The C-index for the OS nomogram was 0.715. Conclusions: Nomograms based on the PFR can be recommended as the correct and actual model to evaluate the prognosis of patients with HCC.
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