ArticlePeerJ2020
Development of a prognostic scoring model for predicting the survival of elderly patients with hepatocellular carcinoma.
Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- Construction of webZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023Trial
- A Web-Based Prediction Model for Cancer-Specific Survival of Elderly Patients With Early Hepatocellular Carcinoma: A Study Based on SEER Database.Frontiers in public health · 2021Trial
- OHCCPredictor: an online risk stratification model for predicting survival duration of older patients with hepatocellular carcinoma.Hepatology international · 2024Article
- Risk factors and predictive nomograms for early death of patients with advanced hepatocellular carcinoma: a large retrospective study based on the SEER database.BMC gastroenterology · 2022Article
- A prognostic model for hepatocellular carcinoma patients based on signature ferroptosis-related genes.Hepatology international · 2022Article
- Benefits of the 8th American Joint Committee on Cancer System for Hepatocellular Carcinoma Staging.Journal of gastrointestinal cancer · 2021Article
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe number of elderly hepatocellular carcinoma (HCC) patients is increasing, and precisely assessing of the prognosis of these patients is necessary. We developed a prognostic scoring model to predict survival in elderly HCC patients.
methodsWe extracted data from 4,076 patients ≥65 years old from the Surveillance, Epidemiology, and End Results (SEER) database and randomly divided them into training and validation groups. Cox regression analysis was used to screen for meaningful independent prognostic factors. The receiver operating characteristic curve reflected the model's discrimination power.
resultsAge, race, American Joint Committee on Cancer stage, degree of tumour differentiation, tumour size, alpha-fetoprotein and tumour therapy were independent prognostic factors for survival in elderly HCC patients. We developed a prognostic scoring model based on the seven meaningful variables to predict survival in elderly HCC patients. The AUCs of the model were 0.805 (95% CI [0.788-0.821]) and 0.788 (95% CI [0.759-0.816]) in the training and validation groups, respectively. We divided the patients into low-risk groups and high-risk groups according to the optimal cut-off value. The Kaplan-Meier survival curve showed that in the training and validation groups, the survival rate of the low-risk group was significantly higher than that of the high-risk group (
conclusionBased on a large population, we constructed a prognostic scoring model for predicting survival in elderly HCC patients. The model may provide a reference for clinicians for preoperative and postoperative evaluations of elderly HCC patients.
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