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.

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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
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article

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

Ren Ji, Hongtao Zhu, Chunwei Kou, Limin Fan et al.
ANZ Journal of Surgery
Inflammatory Biomarkers in Disease Prognosis
article

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

Ren Ji, Hongtao Zhu, Chunwei Kou, Limin Fan, Tan To Cheung
article en

Abstract

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.

ANZ Journal of Surgery
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)
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 32%
Inflammatory Biomarkers in Disease Prognosis
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