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ORIGINAL RESEARCH article
Front. Pharmacol.
Sec. Cardiovascular and Smooth Muscle Pharmacology
Volume 16 - 2025 | doi: 10.3389/fphar.2025.1448879
This article is part of the Research Topic Machine Learning and Pharmacotherapy View all 8 articles
Development and validation of a prediction model for VTE risk in gastric and esophageal cancer patients
Provisionally accepted
Xingyue Zheng 1,2
Liuyun Wu 1,2
Lian Li 1,2
Yin Wang 1,2
Qinan Yin 2,3
Lizhu Han 2,3*
Xingwei Wu 2,3*
Bian Yuan 2,3*- 1 University of Electronic Science and Technology of China, Chengdu, Sichuan Province, China
- 2 Department of Pharmacy, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, Sichuan Province, China
- 3 Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China
Objective: This study focuses on the risk of venous thromboembolism (VTE) in patients with gastric or esophageal cancer (GC/EC), investigating the risk factors for VTE in this population. Utilizing machine learning techniques, the research aims to develop an interpretable VTE risk prediction model. The goal is to identify patients with gastric or esophageal cancer who are at high risk of VTE at an early stage in clinical practice, thereby enabling precise anticoagulant prophylaxis and thrombus management.Methods: This study is a real-world investigation aimed at predicting VTE in patients with GC/EC. Data were collected from inpatients diagnosed with GC/EC at Sichuan
Keywords: CA, carbohydrate antigens, CEA, carcinoembryonic antigen, CAT, Cancer Associated Thrombosis, CatBoost, Categorical Boost, CI, confidence interval, CSCO, Chinese Society of Clinical Oncology, CVADs, central venous access devices, DALYs, Disability Adjusted Life Years
Received: 14 Jun 2024; Accepted: 10 Feb 2025.
Copyright: © 2025 Zheng, Wu, Li, Wang, Yin, Han, Wu and Yuan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Lizhu Han, Department of Pharmacy, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, 611731, Sichuan Province, China
Xingwei Wu, Department of Pharmacy, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, 611731, Sichuan Province, China
Bian Yuan, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China
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