Development and validation of a prediction model for VTE risk in gastric and esophageal cancer patients
In this study, we analyzed the risk factors of VTE in GC/EC patients, and constructed a well-performing VTE risk prediction model capable of accurately identifying the extent of VTE risk in patients. Four VTE prediction scoring systems were introduced to externally validate the dataset of this study. The results demonstrated that the VTE risk prediction model established in this study held greater clinical utility for patients with GC/EC. The Simp-GB model can provide intelligent assistance in the early clinical assessment of VTE risk in these patients.
Authors
- Qinan Yin (ORCID: https://orcid.org/0000-0001-8560-5751)
- Yin Wang (ORCID: https://orcid.org/0000-0002-8137-7496)
- Yuan Bian (ORCID: https://orcid.org/0000-0003-2365-9177)
- Xin Zheng (ORCID: https://orcid.org/0000-0002-4153-8515)
- Xingwei Wu
- Liuyun Wu
- Lian Li (ORCID: https://orcid.org/0000-0002-8517-4661)
- Lizhu Han
Institutions
- University of Electronic Science and Technology of China (CN)
- Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Pharmacology
- Published
- 2025-02-28
- DOI
- https://doi.org/10.3389/fphar.2025.1448879
- Citations
- 2
- Primary Topic
- Venous Thromboembolism Diagnosis and Management
- Type
- article
- Field-Weighted Citation Impact
- 3.74