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Qin, L., Liang, Z., Xie, J., Ye, G., Guan, P., Huang, Y., et al. (2023) Development and Validation of Machine Learning Models for Postoperative Venous Thromboembolism Prediction in Colorectal Cancer Inpatients: A Retrospective Study. Journal of Gastrointestinal Oncology, 14, 220-232.
https://doi.org/10.21037/jgo-23-18

has been cited by the following article:

• TITLE: Advances in Risk Factors and Assessment Tools for Perioperative Venous Thrombosis in Colorectal Cancer Patients

  AUTHORS: Lu Wang, Qin Lin, Benjing Cheng, Xue Wu, Tingting Geng, Lina Liu, Rong Zhang

  KEYWORDS: Colorectal Cancer, Perioperative, Venous Thrombosis, Deep Vein Thrombosis, Influencing Factors

  JOURNAL NAME: Journal of Biosciences and Medicines, Vol.13 No.11, November 24, 2025

  ABSTRACT: This article reviews the current knowledge on venous thromboembolism (VTE) in patients with colorectal cancer during the perioperative period, systematically explores the risk factors influencing the development of VTE before, during, and after surgery, and summarizes the assessment tools, including scoring tables, thromboelastography, and risk prediction models, in order to provide a basis for further identification of high-risk VTE patients during the perioperative period of colorectal cancer. Among them, the risk prediction model provides higher predictive accuracy in identifying high-risk patients.