ArticleBMC cancer2020
Diagnostic and prognostic nomograms for bone metastasis in hepatocellular carcinoma.
Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- [Construction and evaluation of an artificial intelligence-based risk prediction model for death in patients with nasopharyngeal cancer].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023Trial
- Development and external validation of a nomogram for overall survival in oral tongue squamous cell carcinoma using machine learning-assisted feature selection.Scientific reports · 2026Article
- Machine learning based prognostic model for oral squamous cell carcinoma using SEER data and external validation.iScience · 2026Article
- Prognostic difference of single metastasis in different sites of hepatocellular carcinoma: a population-based study.Translational cancer research · 2025Article
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- Diagnostic performance of contrast-enhanced ultrasonography for predicting therapeutic response to radiofrequency ablation in patients with hepatocellular carcinoma: a meta-analysis.Discover oncology · 2025Article
- Nomogram prediction of overall survival in patients with bone metastases from hepatocellular carcinoma: a SEER-based retrospective cohort study.Scientific reports · 2025Article
- Article
- Development and Validation of a Prognostic Nomogram Model for HER2-Positive Male Breast Cancer Patients.Asian Pacific journal of cancer prevention : APJCP · 2024Article
- Prediction of hepatic metastasis in esophageal cancer based on machine learning.Scientific reports · 2024Article
- Article
- Prognositic value of anoikis and tumor immune microenvironment-related gene in the treatment of osteosarcoma.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024Article
- Development and validation of a prediction model for the prognosis of renal cell carcinoma with liver metastases: a population-based cohort study.Frontiers in medicine · 2024Article
- Prediction of survival and analysis of prognostic factors for hepatocellular carcinoma: a 20-year of imaging diagnosis in Upper Northern Thailand.BMC cancer · 2023Article
- Predicting diagnosis and survival of bone metastasis in breast cancer using machine learning.Scientific reports · 2023Article
- Long-term survival of patients with hepatocellular carcinoma with hepatic, pulmonary, peritoneal and rare colon metastasis: A case report.World journal of gastrointestinal surgery · 2023Article
- Machine learning models for prediction of invasion Klebsiella pneumoniae liver abscess syndrome in diabetes mellitus: a singled centered retrospective study.BMC infectious diseases · 2023Article
- Development and validation of a nomogram for survival prediction in hepatocellular carcinoma after partial hepatectomy.BMC surgery · 2023Article
- Web-Based Nomograms for Overall Survival and Cancer-Specific Survival of Bladder Cancer Patients with Bone Metastasis: A Retrospective Cohort Study from SEER Database.Journal of clinical medicine · 2023Article
- Risk factors, prognostic predictors, and nomograms for pancreatic cancer patients with initially diagnosed synchronous liver metastasis.World journal of gastrointestinal oncology · 2023Article
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10 authors.
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Abstract
backgroundBone metastasis (BM) is one of the common sites of hepatocellular carcinoma (HCC), and the prognosis of BM patients is worse than patients without it. Our study aimed to identify predictors and prognostic factors of BM in HCC patients and develop two nomograms to quantify the risk of BM and the prognosis of HCC patients with BM.
methodsWe retrospectively reviewed the data of patients who were diagnosed as HCC between 2010 and 2015 in the Surveillance, Epidemiology, and End Results (SEER) database. Independent predictors for BM from HCC patients were determined by the univariate and multivariate logistic regression analysis. Independent prognostic factors for HCC patients with BM were identified by univariate and multivariate Cox regression analysis. Two nomograms were established and evaluated by calibration curves, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA).
resultsNine thousand and forty-seven patients were included. The independent risk factors of BM in newly diagnosed HCC patients are sex, grade, T stage, and N stage. The independent prognostic factors for HCC patients with BM are radiotherapy, chemotherapy, and lung metastasis. The AUC of diagnostic nomogram were 0.726 in the training set and 0.629 in the testing set. For the prognostic nomogram, the AUCs of 6-, 9-, and 12-months were 0.753, 0.799, and 0.732 in the training set and 0.698, 0.770, and 0.823 in the validation set. The calibration curve and DCA indicated the good performance of the nomogram.
conclusionsTwo nomograms were established to predict the incidence of BM in HCC patients and the prognosis of HCC patients with BM, respectively. Both nomograms have satisfactory accuracy, and clinical utility may benefit for clinical decision-making.
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