A Pragmatic Trial of Machine Prescription for Migraine

NCT06893874 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 200

Last updated 2025-03-25

No results posted yet for this study

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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Entities

Diseases

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 NCT06893874 on ClinicalTrials.gov