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Validation of DRAGON Versus a Simplified DRAGON/Machine Learning

NCT04092543 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 700

Last updated 2019-09-17

No results posted yet for this study

Summary

The CT-DRAGON score can predict long-term functional outcome after acute stroke treated by thrombolysis. However, implementation in clinical practice is hampered by a lack of validation in the broad spectrum of stroke patients undergoing thrombectomy, whether or not in combination with thrombolysis or conservative treatment. Furthermore, the CT-DRAGON score considers multiple items, which are not always readily available in every setting. This study aims to investigate whether either a simplified version of the CT-DRAGON score with only three clinical items or a machine learning technique could be as powerful and more feasible.

Conditions

  • Stroke, Acute

Sponsors & Collaborators

  • University Hospital, Ghent

    collaborator OTHER

  • Ziekenhuis Oost-Limburg

    lead OTHER

Principal Investigators

  • dieter Mesotten, MD PhD · Ziekenhuis Oost-Limburg

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-03-01
Primary Completion
2021-08-01
Completion
2021-11-01

Countries

  • Belgium

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04092543 on ClinicalTrials.gov