Evidence Hub

Effects of Craniocervical Flexion Training on Headache Frequency, Intensity, and Functional Disability in Patients With Migraine

ClinicalTrials.gov · COMPLETED, 2025

38 participants

Abstract

Migraine, a leading cause of disability globally, necessitates effective interventions beyond pharmacotherapy due to the associated risks. This project addresses the literature gap by focusing on physiotherapy, particularly novel craniocervical flexion training (CCFT), for managing migraine headache. The prevalence of migraines, coupled with their economic burden, underscores the urgency for non-pharmacological alternatives. Current pharmacological treatments pose challenges, making nonpharmacological modalities like exercise physiotherapy and manual therapy promising migraine management. Despite limited research, these interventions show potential benefits in addressing peri-cranial muscle tenderness and cervical dysfunction. This study aims to assess the effects of a comprehensive physiotherapy protocol, including the CCFT, shedding light on its impact on migraine frequency, onset, and intensity.

This Randomized Clinical Trial will be conducted at Riphah Rehab Training and Research Center, spans 8 months. The sample size of 38 individuals will undergo a comprehensive physiotherapy protocol, either with or without the CCFT. Data collection, occurring at baseline, 2 weeks, and 4 weeks, includes primary outcomes (headache frequency, intensity, HIT-6 scores) and secondary outcomes (MSQ. V2.1). Participants will receive a minimum of 2 sessions per week, maintaining confidentiality. Randomization, conducted by computer-generated stratified randomization, ensures unbiased…

How strong is the evidence?

Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 38 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free