ArticleAnnals of translational medicine2021
Development of a predictive nomogram for early recurrence of hepatocellular carcinoma in patients undergoing liver transplantation.
Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Explant-based prognostic models for hepatocellular carcinoma recurrence after liver transplantation: A systematic review and meta-analysis.World journal of hepatology · 2025Article
- Criteria and prognostic models for patients with hepatocellular carcinoma undergoing liver transplantation.Clinical and molecular hepatology · 2025Review
- Influence of recipient KRAS gene rs712 polymorphisms on the overall survival rate of hepatocellular carcinoma after hepatic transplantation.Clinical and experimental medicine · 2024Article
- Development of a nomogram for predicting liver transplantation prognosis in hepatocellular carcinoma.World journal of gastroenterology · 2024Article
- Contrast enhanced ultrasound combined with serology predicts hepatocellular carcinoma recurrence: a retrospective observation cohort study.Frontiers in oncology · 2023Article
- A new model based on gamma-glutamyl transpeptidase to lymphocyte ratio and systemic immune-inflammation index can effectively predict the recurrence of hepatocellular carcinoma after liver transplantation.Frontiers in oncology · 2023Article
- Different Models to Predict the Risk of Recurrent Hepatocellular Carcinoma in the Setting of Liver Transplantation.Cancers · 2022Review
- Establishment and Validation of an Integrated Model to Predict Postoperative Recurrence in Patients With Atypical Meningioma.Frontiers in oncology · 2021Article
- Development of a Better Nomogram for Prediction of Preoperative Microvascular Invasion and Postoperative Prognosis in Hepatocellular Carcinoma Patients: A Comparison Study.Journal of computer assisted tomographyArticle
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAn individual prognostic model that includes inflammation caused by the delayed recovery of liver function after surgery for the early recurrence of hepatocellular carcinoma (HCC) following liver transplantation (LT) has not been well determined. Our aim was to develop a nomogram model for predicting individual survival and early recurrence following LT for patients.
methodsRetrospective data, including clinical pathology and follow-up data, on HCC patients were collected between October 2016 and October 2019 at Huashan Hospital Affiliated to Fudan University. A nomogram estimating recurrence post-transplantation was constructed using multivariate Cox regression analysis.
resultsA total of 210 patients were included in the present study. The multivariate estimators of recurrence consisted of age, maximum tumor diameter, tumor thrombus, microvascular invasion (MVI), alanine aminotransferase and alpha-fetoprotein on postoperative day 7. Nomogram of recurrence-free survival was developed. The calibration and discrimination of the novel model were assessed with the calibration curves and concordance index (C-index). Its reliability and advantages were evaluated by comparing it with the conventional American Joint Committee on Cancer (AJCC) 8th edition staging system using integrated discrimination improvement (IDI) and net reclassification improvement (NRI). In comparison to the AJCC 8th edition staging system, the C-index (development set: 0.796
conclusionsThe nomogram, based on clinical and pathological factors, showed good accuracy in estimating prognostic recurrence and can be used to guide individual patient follow-up and treatment.
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