Summary
This study developed and validated a multinomial logistic regression prediction model to identify which type of treatment (none, physical only, or combined physical and psychological) would be indicated for patients with temporomandibular disorders. Nine patient and disease characteristics were identified as significant predictors, and the model demonstrated reasonable calibration, good discrimination (AUC 0.76–0.86), and acceptable external validity. The findings suggest that patient profiles incorporating psychological and physical factors can help stratify TMD patients into appropriate treatment pathways.
UK applicability
The prediction model may be applicable to UK dental and orofacial medicine practice, though the study's geographic origin and whether UK-specific TMD populations were represented in the cohort are unclear from the abstract. Adoption would depend on validation in UK clinical settings and alignment with National Health Service treatment guidelines for TMD.
Key measures
Patient age, gender, anxiety, sleep bruxism, pain-related TMD, function-related TMD, stress, passive stretch of maximum mouth opening, depression; area under the curve (AUC) values (0.76–0.86); shrinkage factor (0.89); calibration and discrimination statistics
Outcomes reported
The study developed and validated a multinomial logistic regression model to predict which of three treatment categories (no treatment, physical treatment only, or combined physical and psychological treatment) would be indicated for individual TMD patients. Model performance was evaluated using internal validation, calibration, discrimination, and external validation metrics.
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