With great interest,we read the article by Lam et al.(1)entitled“A machine learning model for colorectal liver metastasis post-hepatectomy prognostications”.In this study,the authors included colorectal liver metast...With great interest,we read the article by Lam et al.(1)entitled“A machine learning model for colorectal liver metastasis post-hepatectomy prognostications”.In this study,the authors included colorectal liver metastasis(CRLM)patients from four hospitals in Hong Kong who underwent hepatic resection,and developed a survival prediction model based on the patients’demographic,oncologic,clinicopathologic,and therapeutic characteristics using machine learning.Through Cox proportional hazards and least absolute shrinkage and selection operator(LASSO)regression analyses,the authors successfully developed a predictive model consisting of eight predictors that could accurately predict overall survival(OS)and recurrence-free survival(RFS)after hepatectomy in patients with CRLM.This is an intriguing study with significant clinical value,and the authors deserve to be commended for their efforts.However,there are still several issues that need to be addressed in this study.展开更多
基金Key University Natural Science Research Project of Anhui Province(No.2023AH053416)partly supported by the Open Funds of the Guangxi Key Laboratory of Tumor Immunology and Microenvironmental Regulation(No.2023KF012)Anhui Provincial Postdoctoral Scientific Foundation(No.2023A660).
文摘With great interest,we read the article by Lam et al.(1)entitled“A machine learning model for colorectal liver metastasis post-hepatectomy prognostications”.In this study,the authors included colorectal liver metastasis(CRLM)patients from four hospitals in Hong Kong who underwent hepatic resection,and developed a survival prediction model based on the patients’demographic,oncologic,clinicopathologic,and therapeutic characteristics using machine learning.Through Cox proportional hazards and least absolute shrinkage and selection operator(LASSO)regression analyses,the authors successfully developed a predictive model consisting of eight predictors that could accurately predict overall survival(OS)and recurrence-free survival(RFS)after hepatectomy in patients with CRLM.This is an intriguing study with significant clinical value,and the authors deserve to be commended for their efforts.However,there are still several issues that need to be addressed in this study.
