Antithyroid drug treatment for Graves' disease: baseline predictive models of relapse after treatment for a patient-tailored management

Background Antithyroid drugs (ATDs) are first-line treatment for Graves’ hyperthyroidism worldwide, but relapses are frequent. The reliability of individual risk factors to predict at baseline subsequent relapse is poor. Predictive scores grouping single risk factors might help to select the best treatment (pharmacological vs. ablative).