Development and Validation of a Nomogram for Preoperative Prediction of Non‐Textbook Outcome in Patients Undergoing Hepatectomy for Hepatocellular Carcinoma Based on Lasso‐Logistic Regression
This study presents a clinically applicable nomogram that reliably predicts non-TO prior to hepatectomy for HCC. With its favorable performance, the model facilitates informed patient consent and supports strategic resource allocation, ultimately contributing to enhanced healthcare quality and efficiency.
Authors
- Ren Ji
- Hongtao Zhu
- Chunwei Kou
- Limin Fan
- Tan To Cheung
Institutions
- Chinese University of Hong Kong (HK)
- Shenzhen University (CN)
- University Town of Shenzhen (CN)
- University of Hong Kong - Shenzhen Hospital (CN)
- First Affiliated Hospital of Jinan University (CN)
- University of Hong Kong (HK)
Publication Details
- Journal
- ANZ Journal of Surgery
- Published
- 2025-12-22
- DOI
- https://doi.org/10.1111/ans.70452
- Primary Topic
- Inflammatory Biomarkers in Disease Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00