ArticleFrontiers in oncology2021
Prediction of Survival and Analysis of Prognostic Factors for Patients With Combined Hepatocellular Carcinoma and Cholangiocarcinoma: A Population-Based Study.
Article in Frontiers in oncology, 2021. 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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10 citing papers in PubMed.
- A predictive nomogram for surgical site infection in patients who received clean orthopedic surgery: a retrospective study.Journal of orthopaedic surgery and research · 2024Trial
- Impact of small area-level deprivation on survival outcomes in patients with Cholangiocarcinoma: a population-based multilevel survival analysis.Frontiers in public health · 2026Article
- Liver transplantation for combined hepatocellular cholangiocarcinoma: Current evidence, selection criteria, and therapeutic controversies.World journal of gastrointestinal surgery · 2025Review
- Article
- Construction of novel predictive tools for post-surgical cancer-specific survival probability in patients with primary chondrosarcoma and external validation in Chinese cohorts: a large population-based retrospective study.Journal of cancer research and clinical oncology · 2023Article
- Article
- Clinical outcomes of immune checkpoint inhibitors in unresectable or metastatic combined hepatocellular-cholangiocarcinoma.Journal of cancer research and clinical oncology · 2023Article
- An international multicentre evaluation of treatment strategies for combined hepatocellular-cholangiocarcinomaJHEP reports : innovation in hepatology · 2023Article
- Development and validation of a nomogram to predict cancer-specific survival with unresected cholangiocarcinoma undergoing external radiotherapy.Frontiers in public health · 2023Article
- Combined Hepatocellular-Cholangiocarcinoma: What the Multidisciplinary Team Should Know.Diagnostics (Basel, Switzerland) · 2022Review
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Abstract
backgroundCombined hepatocellular carcinoma and cholangiocarcinoma (CHC) is an uncommon subtype of primary liver cancer. Because of limited epidemiological data, prognostic risk factors and therapeutic strategies for patients with CHC tend to be individualized. This study aimed to identify independent prognostic factors and develop a nomogram-based model for predicting the overall survival (OS) of patients with CHC.
methodsWe recruited eligible individuals from the Surveillance, Epidemiology, and End Results (SEER) database between 2004 and 2015 and randomly divided them into the training or verification cohort. Univariate and multivariate analyses were performed to identify independent variables associated with OS. Based on multivariate analysis, the nomogram was established, and its prediction performance was evaluated using the consistency index (C-index) and calibration curve.
resultsIn total, 271 patients with CHC were included in our study. The median OS was 14 months, and the 1-, 3-, and 5-year OS rates were 52.3%, 27.1%, and 23.3%, respectively. In the training cohort, multivariate analysis showed that the pathological grade (hazard ratio [HR], 1.26; 95% confidence interval [CI]: 0.96-1.66), TNM stage (HR, 1.21; 95% CI: 1.02 - 1.44), and surgery (HR, 0.26; 95% CI: 0.17 - 0.40) were independent indicators of OS. The nomogram-based model related C-indexes were 0.76 (95% CI: 0.72 - 0.81) and 0.72 (95% CI: 0.66 - 0.79) in the training and validation cohorts, respectively. The calibration of the nomogram showed good consistency of 1-, 3-, and 5-year OS rates between the actual observed survival and predicted survival in both cohorts. The TNM stage (HR, 1.23; 95% CI: 1.01 - 1.49), and M stage (HR, 1.87; 95% CI: 1.14 3.05) were risk factors in the surgical treatment group. Surgical resection and liver transplantation could significantly prolong the survival, with no statistical difference observed.
conclusionsThe pathological grade, TNM stage, and surgery were independent prognostic factors for patients with CHC. We developed a nomogram model, in the form of a static nomogram or an online calculator, for predicting the OS of patients with CHC, with a good predictive performance.
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