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.

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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
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article

Development and validation of a prediction model for VTE risk in gastric and esophageal cancer patients

Qinan Yin, Yin Wang, Yuan Bian, Xin Zheng et al.
2 citations
Frontiers in Pharmacology
Venous Thromboembolism Diagnosis and Management
3.74
article

Development and validation of a prediction model for VTE risk in gastric and esophageal cancer patients

Qinan Yin, Yin Wang, Yuan Bian, Xin Zheng, Xingwei Wu, Liuyun Wu, Lian Li, Lizhu Han
article en
2 citations

Abstract

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.

Frontiers in PharmacologyVol. 16
University of Electronic Science and Technology of China (CN), Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital (CN)
Openalex Percentile: Top 9%
Venous Thromboembolism Diagnosis and Management
3.74
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