biostudies-literatureUnknown9(1)Xie RSpecial Research Fund for Traditional Chinese Medicine Science and Technology of Guangdong Provincial Hospital of Chinese Medicine<h4>Introduction</h4>Tension-type headache (TTH) is the most prevalent neurological disease, with an estimated 1.5 billion cases worldwide. Pharmacotherapy should be considered by patients with TTH who have a limited response to non-pharmacological treatment. However, recommendations for the vast array of therapeutic drugs for TTH partially overlap, with conflicting recommendations for strength in different guidelines; these may confuse the decision-making process of clinicians. Hence, the aims of this study are to analyse the available direct and indirect evidence on different drug monotherapies for TTH in adults, and to generate a treatment ranking according to their efficacy and safety outcomes by using a Bayesian network meta-analysis (NMA).<h4>Methods and analysis</h4>We will systematBMJ opene023748https://www.ebi.ac.uk/biostudies/studies/S-EPMC6340443biostudies-literatureEfficacy and safety of different drug monotherapies for tension-type headache in adults: study protocol for a Bayesian network meta-analysis.PMC6340443Tian JLi HCai YWang YXie RfalseEfficacy and safety of different drug monotherapies for tension-type headache in adults: study protocol for a Bayesian network meta-analysis.<h4>Introduction</h4>Tension-type headache (TTH) is the most prevalent neurological disease, with an estimated 1.5 billion cases worldwide. Pharmacotherapy should be considered by patients with TTH who have a limited response to non-pharmacological treatment. However, recommendations for the vast array of therapeutic drugs for TTH partially overlap, with conflicting recommendations for strength in different guidelines; these may confuse the decision-making process of clinicians. Hence, the aims of this study are to analyse the available direct and indirect evidence on different drug monotherapies for TTH in adults, and to generate a treatment ranking according to their efficacy and safety outcomes by using a Bayesian network meta-analysis (NMA).<h4>Methods and analysis</h4>We will systemat2019-01-01T00:00:00Z2019 Jan2025-04-26T15:39:09.266Z2019-03-26T22:47:38ZS-EPMC63404433064703710.1136/bmjopen-2018-023748