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Antiplatelet clinical trials

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NCT ID: NCT04305821 Completed - Anticoagulant Clinical Trials

Medico-economic Interest of the Protein S100b in Mild Head Trauma Under Anti-thrombotics

ISTCAT
Start date: March 9, 2020
Phase:
Study type: Observational

Head trauma is a common injury in emergency department. Investigation to search for complication is guided by the clinical examination and the case history, such as taking anti-thrombotics. Cranial computed tomography (CCT) is the gold standard to investigate, and is mandatory in case of antithrombotic drugs. Recently, some biomarkers have proven their utility to rule-out mild head trauma without CCT in the general population. Among these biomarkers, S100β protein has been added in guidelines for mild head trauma. Some studies have found similar data in population taking anticoagulant or antiplatelet drugs. The investigators aim to prove medical utility of S100β protein in population under antithrombotics, by the reduction of CCT use. Then, The investigators hypothesize that the add of S100β protein reduces cost of health care in the management of head injury in that population.

NCT ID: NCT04237935 Completed - Antiplatelet Clinical Trials

Replication of the PLATO Antiplatelet Trial in Healthcare Claims Data

Start date: September 22, 2019
Phase:
Study type: Observational

Investigators are building an empirical evidence base for real world data through large-scale replication of randomized controlled trials. The investigators' goal is to understand for what types of clinical questions real world data analyses can be conducted with confidence and how to implement such studies.

NCT ID: NCT04237922 Completed - Antiplatelet Clinical Trials

Replication of the TRITON-TIMI Antiplatelet Trial in Healthcare Claims Data

Start date: September 22, 2019
Phase:
Study type: Observational

Investigators are building an empirical evidence base for real world data through large-scale replication of randomized controlled trials. The investigators' goal is to understand for what types of clinical questions real world data analyses can be conducted with confidence and how to implement such studies.