A Comparative Study on the Efficacy of Coenzyme Q10 and Amitriptyline in the Prophylactic Treatment of Migraine Headaches in Children: A Randomized Controlled Trial
Abstract
Background: Migraine, one of the most common headaches in children, has a significant impact on children and their family's quality of life (QoL). There are two approaches for controlling migraine headaches preventative and controlling acute attacks. Several drugs have been used for this purpose, and tricyclic antidepressants were at the top. Amitriptyline has shown not only a desirable effect on controlling the headaches but also some adverse side effects. Recently, finding effective drugs with fewer side effects, become more critical. Among them, nutraceuticals were one of the promising ones. Materials and Methods: In this randomized clinical trial on 72 patients aged 5–15 years old with diagnosis of migraine based on the International Headache Society criteria, we compare the effectiveness of coenzyme Qten on frequency, duration, and severity of childhood migraine. For comparing the QoL, we used the International PedMIDAS questionnaire. Results: Coenzyme Qten showed good therapeutic effects in children, especially in long-term use; however, amitriptyline showed more rapid response. After 3 months of treatment, clinical outcomes in the two groups did not significantly differ from each other. Similarly, Children's QoL increased in the same way. There are more reported side effects in children using amitriptyline compared to coenzyme Qten. Conclusions: According to results, Co-enzyme Q10, with fewer side effects and comparable therapeutic effects, especially in the long…
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: 72 participants or records.
Read the paper
Related studies
- Calcium Ions in the Physiology and Pathology of the Central Nervous System
- AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare
- In silico functional, structural and pathogenicity analysis of missense single nucleotide polymorphisms in human MCM6 gene
- In Silico drug repurposing pipeline using deep learning and structure based approaches in epilepsy
- Targeting serotonin receptors with phytochemicals – an in-silico study
- In silico exploration of anti-prostate cancer compounds from differential expressed genes
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.