ArticleAnnals of gastroenterological surgery2024
Risk model for morbidity and mortality following liver surgery based on a national Japanese database.
Article in Annals of gastroenterological surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Long-term Outcomes of Protocol-based Neoadjuvant Selection and Liver Transplantation Versus Liver Resection for Perihilar Cholangiocarcinoma: A Systematic Review and Meta-analysis.Journal of gastrointestinal cancer · 2026Pooled it
- Prediction of Long-Term Prognosis in Patients With Hepatocellular Carcinoma Using the National Clinical Database Risk Calculator.Annals of gastroenterological surgery · 2026Article
- Intraoperative lactate as an early risk marker in laparoscopic liver resection and its association with modifiable hemodynamic parameters: a retrospective cohort study.Journal of anesthesia · 2026Article
- Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?Annals of gastroenterological surgery · 2026Review
- Vasopressin and fluid retention after liver resection: Comparison with the renin-angiotensin-aldosterone system by surgical extent and liver function.World journal of gastroenterology · 2026Article
- Risk Factors and Strategies for Failure to Rescue Following Hepatectomy: A Review.Journal of hepato-biliary-pancreatic sciences · 2025Review
- Novel Risk Score Incorporating Type-IV Collagen, Albumin, and Prothrombin Time (CAP score) to Predict 180-Day Surgery-Related Mortality After Liver Resection for Hepatocellular Carcinoma.Annals of surgical oncology · 2025Article
- Risk model for morbidity and mortality following liver surgery based on a national Japanese database.Annals of gastroenterological surgery · 2024Article
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Authors and funding
8 authors.
Funding
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Abstract
Aim: We evaluated the morbidity and mortality associated with liver surgery in Japan and developed a risk model for liver resection using information from a national database. Methods: We retrospectively reviewed 73 861 Japanese patients who underwent hepatectomy between 2014 and 2019, using information from the National Clinical Database (NCD) registrations. The primary endpoints were 30 days and in-hospital mortality, and the secondary endpoints were postoperative complications. Logistic regression risk models for postoperative morbidity and mortality after hepatectomy were constructed based on preoperative clinical parameters and types of liver resection, and validated using a bootstrapping method. Results: The 30-day and in-hospital mortality rates were 0.9% and 1.7%, respectively. Trisectionectomy, hepatectomy for gallbladder cancer, hepatectomy for perihilar cholangiocarcinoma, and poor activities of daily living were statistically significant risk factors with high odds ratios for both postoperative morbidity and mortality. Internal validations indicated that the c-indices for 30-day and in-hospital mortality were 0.824 and 0.839, respectively. Conclusions: We developed a risk model for liver resection by using a national surgical database that can predict morbidity and mortality based on preoperative factors.
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