ArticleJournal of clinical medicine2023
PNI-Based Nomograms to Predict Tumor Progression and Survival for Patients with Unresectable Hepatocellular Carcinoma Undergoing Transcatheter Arterial Chemoembolization.
Article in Journal of clinical medicine, 2023. 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, 9 citations in OpenAlex.
- Intravoxel Incoherent Motion Diffusion-Weighted MR Imaging can Differentiate between Residual or Recurrent Hepatocellular Carcinoma and Inflammatory Reaction Zone: A Single-Center Study.Current medical imaging · 2026Article
- Conventional and machine learning-based risk scores for patients with early-stage hepatocellular carcinoma.Clinical and molecular hepatology · 2024Article
- Article
- Construction and Validation of TACE Therapeutic Efficacy by ALR Score and Nomogram: A Large, Multicenter Study.Journal of hepatocellular carcinoma · 2023Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe relationship between the prognostic nutritional index (PNI) and the prognosis of malignancy has been increasingly mentioned in recent research. This study aimed to construct nomograms based on the PNI to predict tumor progression and survival in patients with unresectable hepatocellular carcinoma (HCC) undergoing transcatheter arterial chemoembolization (TACE). MATERIALS AND
methodsThe development set included 785 patients who underwent their first TACE between 2012 and 2016, and the validation set included 336 patients who underwent their first TACE between 2017 and 2018. The clinical outcomes included the time to progression (TTP) and overall survival (OS). Cox regression was applied to screen for independent risk factors of TTP and OS in the development set, and PNI-based nomograms were constructed for TTP and OS. The predictive performance of nomograms was conducted through the C-index, calibration curves, and decision analysis curves in the development set and validation set.
resultsAfter multivariate analysis, the prognostic predictors of both TTP and OS included portal vessel invasion, extrahepatic metastasis, tumor number, alpha-fetoprotein (AFP) level, longest tumor diameter, and PNI. Furthermore, the Child-Pugh classification and platelets (PLTs) were independent risk factors for OS only. Nomograms for predicting TTP and OS were constructed using TTP and OS prognostic factors. In the development set and the validation set, the C-index of the TTP nomograms was 0.699 (95% confidence interval (CI): 0.680-0.718) and 0.670 (95%CI: 0.638-0.702), and the C-index of the OS nomograms was 0.730 (95%CI: 0.712-0.748) and 0.700 (95%CI: 0.665-0.723), respectively.
conclusionNomograms based on the PNI can effectively predict tumor progression and survival in patients with unresectable HCC undergoing TACE.
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