ArticlePloS one2019
Predictive value of a nomogram for hepatocellular carcinoma with brain metastasis at initial diagnosis: A population-based study.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Comparison of metastasis and prognosis between early-onset and late-onset hepatocellular carcinoma: A population-based study.Heliyon · 2024Article
- Prognostic factors and predictive nomogram models for early death in elderly patients with hepatocellular carcinoma: a population-based study.Frontiers in molecular biosciences · 2023Article
- Association of alpha-fetoprotein and metastasis for small hepatocellular carcinoma: A propensity-matched analysis.Scientific reports · 2022Article
- Diagnostic and prognostic nomograms for newly diagnosed intrahepatic cholangiocarcinoma with brain metastasis: A population-based analysis.Experimental biology and medicine (Maywood, N.J.) · 2022Article
- 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
- Bioinformatic analysis andAnnals of translational medicine · 2020Article
- Profiles of mOncology letters · 2020Article
- Profiles of prognostic alternative splicing signature in hepatocellular carcinoma.Cancer medicine · 2020Article
- Predictive value of a nomogram for melanomas with brain metastases at initial diagnosis.Cancer medicine · 2019Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundPopulation-based estimates of the incidence and prognosis of brain metastases at diagnosis of hepatocellular carcinoma (HCC) are lacking. The aim of this study was to characterize the incidence proportion and survival of newly diagnosed hepatocellular carcinoma with brain metastases (HCCBM). MATERIALS AND
methodsData from Surveillance, Epidemiology, and End Results (SEER) program between 2010 and 2014 was evaluated. Patients with HCCBM were included. Multivariable logistic and Cox regression were performed to identify predictors of the presence of brain metastases at diagnosis and prognostic factors of overall survival (OS). We also built a nomogram based on Cox model to predict prognosis for HCCBM patients.
resultsWe identified 97 patients with brain metastases at the time of diagnosis of HCC, representing 0.33% of the entire cohort. Logistic regression showed patients with bone or lung metastases had greater odds of having brain metastases at diagnosis. Median OS for HCCBM was 2.40 months. Cox regression revealed unmarried and bone metastases patients suffered significantly shorter survival time. A nomogram was developed with internal validation concordance index of 0.639.
conclusionsThis study provided population-based estimates of the incidence and prognosis for HCCBM patients. The nomogram could be a convenient individualized predictive tool for prognosis.
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