Validity of the Brief Diagnostic Criteria for Temporomandibular Disorders

Valid diagnostic criteria for classifying pain-related temporomandibular disorders (TMDs) exist and can be applied with high interexaminer reliability to patients. However, adoption in most clinical settings, generalist and specialist, remains limited due to the examination complexity and time constraints in clinics. To address this limitation, we created a simplified examination protocol, and we test it here against reference standards based on the Diagnostic Criteria for TMD (DC/TMD). DC/TMD assessments include multiple provocation tests, 5 range-of-motion tasks, and 40 palpation points, as well as imaging for definitive joint diagnoses. We tested the simplified protocol using data from 2 multicenter studies: the TMJ Impact Project (<i>n</i> = 401) and OPPERA (<i>n</i> = 547). Examiners were trained and assessed annually for reliability, supporting generalizability. Diagnostic validity was assessed by area under the curve, sensitivity, specificity, and likelihood ratios (positive and negative). By using 2-s palpation at the full muscle (bilateral temporalis, masseter) and TMJ lateral pole, results showed high diagnostic performance for identifying painful TMD: area under the curve = 0.93, sensitivity = 0.88, and specificity = 0.98. Targeted single-band palpation within each muscle yielded comparable results. Adding other joint pain provocation procedures to the index test did not improve diagnostic accuracy. For acute closed lock, other disc-based TMDs, and degenerative joint disease, sensitivity remained ≤0.12 while specificity was ≥0.92. For subluxation, sensitivity/specificity was 0.81/0.97. Based on the likelihood ratios, clinical decision-making guidelines were developed for brief DC diagnoses. In conclusion, a simplified and shortened version of the DC/TMD protocol demonstrates excellent validity for identifying painful TMDs and is feasible for clinical practice. This approach reduces examination time while maintaining diagnostic accuracy, potentially improving patient care across broader clinical settings.