ArticlePeerJ2019
Risk and prognostic nomograms for hepatocellular carcinoma with newly-diagnosed pulmonary metastasis using SEER data.
Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Prognostic difference of single metastasis in different sites of hepatocellular carcinoma: a population-based study.Translational cancer research · 2025Article
- Development and validation of a diagnostic and prognostic model for bone metastasis of intrahepatic cholangiocarcinoma: a population-based analysis.Translational cancer research · 2024Article
- Comparison of metastasis and prognosis between early-onset and late-onset hepatocellular carcinoma: A population-based study.Heliyon · 2024Article
- Machine learning was used to predict risk factors for distant metastasis of pancreatic cancer and prognosis analysis.Journal of cancer research and clinical oncology · 2023Article
- Development and validation of a diagnostic and prognostic model for lung metastasis of hepatocellular carcinoma: a study based on the SEER database.Frontiers in medicine · 2023Article
- 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
- Pan-cancer analysis of the prevalence and associated factors of lung metastasis and the construction of the lung metastatic classification system.Frontiers in surgery · 2022Article
- Risk Factors for Brain Metastasis of Hepatocellular Carcinoma.Journal of healthcare engineering · 2022Article
- The Nomogram Model Predicting Overall Survival and Guiding Clinical Decision in Patients With Glioblastoma Based on the SEER Database.Frontiers in oncology · 2020Article
- Article
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Authors and funding
7 authors.
Funding
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Abstract
purposeThis research aimed to identify risk factors of pulmonary metastasis (PM) from hepatocellular carcinoma (HCC) and prognostic factors of patients with PM from HCC at initial diagnosis.
methodsPatients diagnosed with HCC between 2010 and 2015 were reviewed retrospectively in the Surveillance, Epidemiology, and End Results (SEER) database. Patients with PM from HCC at initial diagnosis were identified from the entire cohort. Predictors for PM from HCC were identified by multivariate logistic regression analysis. Independent prognostic factors for patients with PM were determined by univariate and multivariate Cox regression analysis. Nomograms were also constructed for quantifying risk of metastasis and overall survival estimation visually.
resultsOur research included 30,641 patients diagnosed with HCC, of whom 1,732 cases were with PM from HCC at initial diagnosis. The risk factors causing PM from HCC were age (
conclusionsThis research provided evaluation of risk factors and prognosis for patients with PM from HCC. Two nomograms we developed can be convenient individualized tools to facilitate clinical decision-making.
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