A Pragmatic Trial of Machine Prescription for Migraine
NCT06893874 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 200
Last updated 2025-03-25
Summary
The purpose of this study is to estimate the ability of ML models to predict the effect of migraine preventives. This will be achieved by first identifying sociodemographic, headache and comorbidity features of migraine patients. Headache days will then be measured for 4 weeks before starting a migraine preventive, and this will be compared to the number of headache days in the first 12 weeks (divided into 28-day periods) after starting treatment. The preventive is regarded as effective if there is a 50% or greater reduction in monthly headache days. After observation of the treatment period, the ML models will use the sociodemographic, headache and comorbidity features, captured before treatment was initiated, to predict treatment effect for all preventives in each participant. These predicted treatment effects will be compared to the actual treatment effects that were observed.
Conditions
Interventions
- OTHER
-
Preventive migraine treatment
Participants will be observed while receiving treatment-as-usual for their migraine by their treating physician
Sponsors & Collaborators
-
Norwegian University of Science and Technology
lead OTHER
Principal Investigators
-
Anker Stubberud · Norwegian University of Science and Technology
Eligibility
- Min Age
- 18 Years
- Max Age
- 99 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-02-01
- Primary Completion
- 2026-12-31
- Completion
- 2026-12-31
Countries
- Norway
Study Locations
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