ArticleAnnals of translational medicine2020
Novel inflammation-based prognostic nomograms for individualized prediction in hepatocellular carcinoma after radical resection.
Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Prognostic significance of preoperative prognostic nutritional index in hepatocellular carcinoma after curative hepatectomy: a meta-analysis and systemic review.Frontiers in nutrition · 2024Pooled it
- Prognostic nutritional index is a better inflammation based prognostic marker in elderly patients with hepatocellular carcinoma after surgery.Scientific reports · 2025Article
- Article
- Prognostic performance of MRI LI-RADS version 2018 features and clinical-pathological factors in alpha-fetoprotein-negative hepatocellular carcinoma.Abdominal radiology (New York) · 2024Article
- A Novel Nomogram to Predict Prognosis of Advanced Hepatocellular Carcinoma Treated with Intensity-Modulated Radiotherapy Plus Anti-PD1.Journal of hepatocellular carcinoma · 2024Article
- Establishment and Clinical Application of the Nomogram Related to Risk or Prognosis of Hepatocellular Carcinoma: A Review.Journal of hepatocellular carcinoma · 2023Review
- Inflammation-Related Marker NrLR Predicts Prognosis in AFP-Negative HCC Patients After Curative Resection.Journal of hepatocellular carcinoma · 2023Article
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe prognosis for patients with hepatocellular carcinoma (HCC) after liver resection ranges widely and is unsatisfactory. This study aimed to develop two novel nomograms that combined tumor characteristics and inflammation-related indexes to predict overall survival (OS) and recurrence-free survival (RFS).
methodsIn total, 3,071 patients who underwent radical resection were recruited. Independent risk factors were identified by Cox regression analysis and used to conduct prognostic nomograms. The C-index, time-dependent areas under the receiver operating characteristic curve (time-dependent AUC), decision curve analysis (DCA), and calibration curves were used to assess the performance of the nomograms.
resultsMultivariate analysis revealed that alpha-fetoprotein (AFP), resection margin, neutrophil times γ-glutamyl transpeptidase-to-lymphocyte ratio (NrLR), platelet-to-lymphocyte ratio (PLR), γ-glutamyl transpeptidase-to-platelet ratio (GPR), tumor size, tumor number, microvascular invasion, and Edmondson-Steiner grade were the independent risk factors associated with OS. The independent risk factors associated with RFS were hepatitis, AFP, albumin-bilirubin (ALBI), NrLR, PLR, PNI, GPR, tumor size, tumor number, microvascular invasion, and Edmondson-Steiner grade. The C-index of the nomograms in the training and validation cohort were 0.71 [95% confidence interval (CI): 0.70-0.73] and 0.71 (95% CI: 0.69-0.74) for the OS, and 0.71 (95% CI: 0.70-0.73) and 0.74 (95% CI: 0.72-0.76) for RFS, respectively. The C-index, time-dependent AUC, and DCA of the nomograms showed significantly better predictive performances than those of commonly used staging systems. The models could stratify patients into three different risk groups. The web-based tools are convenient for clinical practice.
conclusionsTwo novel nomograms in which integrated inflammation-related indexes and accessible clinical parameters were developed to predict OS and RFS in HCC patients who underwent radical resection. Such models will help guide postoperative individualized follow-up and adjuvant therapy.
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