ArticleAnnals of translational medicine2023
A novel nomogram to predict survival of patients with hepatocellular carcinoma after transarterial chemoembolization: a tool for retreatment decision making.
Article in Annals of translational 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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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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Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- The prognosis of primary aldosteronism achieved incomplete surgical remission and changes in plasma aldosterone, plasma renin activity, and biochemical indicators.Journal of medical biochemistry · 2025Article
- Article
- Development and Validation of Nomograms to Predict the Prognosis of Patients With Unresectable Hepatocellular Carcinoma Receiving Transarterial Chemoembolization.Clinical Medicine Insights. Oncology · 2023Article
- 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
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: There is still no standardized policy regarding how to identify patients who are not benefiting from transarterial chemoembolization (TACE). We aimed to establish and validate a nomogram model to predict the survival rate of hepatocellular carcinoma (HCC) patients after TACE. Methods: A total of 578 HCC patients undergoing initial TACE at the First Affiliated Hospital of Wenzhou Medical University were retrospectively recruited to the study. The patients were randomly divided into 2 cohorts: a training cohort (n=405) and a validation cohort (n=173). To develop the nomogram, Cox regression analyses were used to identify independent risk factors. The performances of the nomogram were assessed by concordance index (C-index), calibration curves, and decision curve analysis (DCA), and were compared to 4 developed prognostic models. Results: We used 5 independent risk factors including postoperative albumin-bilirubin (ALBI) grade, tumor diameter, number of tumors, portal vein invasion, and tumor response to develop the nomogram. Calibration curves showed consistency between the nomogram and the actual observation. The C-index of the nomogram was 0.753 [95% confidence interval (CI): 0.722, 0.784], which was higher than the other prognostic models (P<0.001). The DCA showed that the nomogram had the highest net benefit among the models. According to predicted survival risk, the nomogram could divide patients into 3 groups (P<0.001). All the results were verified in the validation cohort. Conclusions: This study developed and validated a nomogram model for HCC patients undergoing TACE, which could predict the survival rate and provide support for further treatment strategies.
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