ArticleHepatobiliary surgery and nutrition2021
A combined Cox and logistic model provides accurate predictive performance in estimation of time-dependent probabilities for recurrence of intrahepatic cholangiocarcinoma after resection.
Article in Hepatobiliary surgery and nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- A Scoring System for Risk Stratification in Intrahepatic Cholangiocarcinoma after Immunotherapy.Radiology. Imaging cancer · 2025Article
- Genetic predictors of postoperative recurrence in node-negative intrahepatic cholangiocarcinoma.Updates in surgery · 2025Article
- Prediction of the prognosis of intrahepatic cholangiocarcinoma patients after hepatectomy via propensity score matching: a competitive risk model analysis.Translational cancer research · 2025Article
- Postpartum related intrahepatic cholangiocarcinoma withJournal of gastrointestinal oncology · 2023Article
- Call to Improve the Quality of Prediction Tools for Intrahepatic Cholangiocarcinoma Resection: A Critical Appraisal, Systematic Review, and External Validation Study.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2023Article
- A Nomogram Model to Predict Early Recurrence of Patients With Intrahepatic Cholangiocarcinoma for Adjuvant Chemotherapy Guidance: A Multi-Institutional Analysis.Frontiers in oncology · 2022Article
- Exploring the function of stromal cells in cholangiocarcinoma by three-dimensional bioprinting immune microenvironment model.Frontiers in immunology · 2022Article
- Logistic Model and Gradient Boosting Machine Model for Physical Therapy of Lumbar Disc Herniation.Computational and mathematical methods in medicine · 2022Article
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14 authors.
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Abstract
backgroundIntrahepatic cholangiocarcinoma has heterogeneous outcomes after resection. There remains a need for broadly applicable recurrence-specific tool offering precise evaluation on curativeness of resection.
methodsA four hospital-based clinical cohort involving 1,655 patients with intrahepatic cholangiocarcinoma who received surgical resection were studied. Cox and logistic models were networked into one system containing risk categories with distinctive probabilities of recurrence. Prediction of time-to-recurrence was performed by formulizing time-dependent risk probabilities. The model was validated in three clinical cohorts (n=332).
resultsFrom the training cohort, 10 and 11 covariates, including diabetes, cholelithiasis, albumin, platelet count, alpha fetoprotein, carbohydrate antigen 19-9, carcinoembryonic antigen, hepatitis B virus infection, tumor size and number, resection type, and lymph node metastasis, from Cox and logistic models were identified significant for recurrence-free survival (RFS). The combined Cox & logistic ranking system (CCLRS)-adjusted time-dependent probabilities were categorized into seven ranks (5-yr RFS for lowest and highest ranks were 75%
conclusionsThe CCLRS allows precise estimation on risk of recurrence for intrahepatic cholangiocarcinoma after resection. It could be applicative when estimating time-dependent disease status and stratifying individuals who sole resection of the tumor would not be curative.
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