A nomogram model to predict non-retrieval of short-term retrievable inferior vena cava filters
This nomogram demonstrated strong predictive accuracy and discrimination capability. This model may help clinicians identify patients who are not candidates for short-term retrievable filter placement and help clinicians make timely, individualized decisions in filter choice strategies.
Authors
- Tongqing Xue (ORCID: https://orcid.org/0000-0001-5915-4408)
- Zhongzhi Jia (ORCID: https://orcid.org/0000-0001-7238-6510)
- Lihao Qin
- Xiaocheng Gu
- Cai‐Fang Ni (ORCID: https://orcid.org/0000-0002-5953-781X)
- Kai Wang (ORCID: https://orcid.org/0000-0002-6151-0034)
- Yun Wang (ORCID: https://orcid.org/0009-0008-3084-0365)
Institutions
- Xuzhou Medical College (CN)
- Soochow University (CN)
- Huaian First People’s Hospital (CN)
- Second People’s Hospital of Huai’an (CN)
- Changshu No.1 People's Hospital (CN)
- Changzhou No.2 People's Hospital (CN)
- First Affiliated Hospital of Soochow University (CN)
- Changshu No. 2 People's Hospital
- Nanjing Medical University (CN)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2024-12-06
- DOI
- https://doi.org/10.3389/fcvm.2024.1393410
- Primary Topic
- Venous Thromboembolism Diagnosis and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00