Temporomandibular disorders in migraine and tension-type headache patients: a systematic review with meta-analysis
Abstract
The simultaneous occurrence of primary headaches and temporomandibular disorders can pose a challenge in determining the best clinical management of patients. Therefore, we aimed to summarize evidence regarding the risk and prevalence of temporomandibular disorders (TMDs) in migraine and tension-type headaches (TTH) patients. Cross-sectional studies published in English comparing the presence of TMDs in adults with TTH or migraine to subjects without headaches were included, International Classification of Orofacial Pain, Diagnostic Criteria for Temporomandibular Disorders or Research Diagnostic Criteria for Temporomandibular Disorders, and large epidemiological studies (sensitive diagnostic criteria (SDC)). The methodological quality was assessed by Modified Newcastle-Ottawa Quality Assessment Scale. Odds ratio (OR) and random effects were calculated. 1405 articles were identified in PubMed, Embase and Central databases, and 13 cross-sectional studies were finally included. Overall Risk of TMDs was statistically significantly higher than control groups in both Migraine (SDC: 11 studies; OR: 3.79 (2.43, 5.90); I2 = 99%), with higher values in chronic migraine (OR: 24.27; (95% Confidence interval (CI): 5.84, 100.82); I2 = 0%) and TTH populations (SDC: 8 studies; OR: 4.45 (2.63, 7.53); I2 = 86%). Headache subjects presented a higher risk of muscular TMDs (5 studies; OR: 2.01 (1.62, 2.50); I2 = 0%), Combined TMDs (5 studies; OR: 2.74 (1.40, 5.36); I2 = 63%), or Painful TMDs (8…
How strong is the evidence?
Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.
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.