ClinicalTrials.gov
public full text
Public Domain
Anticoagulation and Inferior Vena Cava Filters in Cancer Patients With a Venous Thromboembolism
The development of clots is a potentially deadly complication in many cancer patients. The current optimal treatment is unknown. Evidence supporting the effectiveness of the use of Inferior Vena Caval Filters is lacking. This study will compare the two standard of care treatment options: anticoagulation with or without a inferior vena cava filter. The anticoagulation medication chosen will be Arixtra and it will be given once a day as an injection. Patients will be called at various intervals to monitor their signs and symptoms of new thromboembolisms.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Failed Retrieval of Inferior Vena Cava (IVC) Filters: Long-Term Outcomes#909548
- Inferior Vena Cava Filters: Analysis of a Database#913692
- A Single-Arm, Multicenter, Exploratory Clinical Study of TACE Combined With Iparomlimab and Tuvonralimab Injection (QL1706) and Lenvatinib for Perioperative Treatment of Resectable Hepatocellular Carcinoma#1030784
- DEB-TACE for Hepatocellular Carcinoma#968500
- Clinical Performance Evaluation of Native Whole Blood Samples of Patients on DOACs With the Perosphere ClotChek™#1058769
Record · ID 900261
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive