Development of Clinical Evidence for Optimal Management of Adrenal Diseases Based on Real-World Data

The ultimate goal is to develop clinical evidence for unmet needs in adrenal gland diseases using real-world data, thereby contributing to the optimization of treatment guidelines. This involves: 1. Generating real-world healthcare data through prospective and retrospective registries specific to each adrenal disease. 2. Acquiring a common data model for adrenal diseases, applicable across both domestic and international multicenter settings. 3. Creating real-world data linked with hospital medical records and public data for each adrenal disease, utilizing anonymized information merging services. 4. Developing and conducting research based on prospective and retrospective registries, a common data model, and the utilization of public-medical data for different adrenal diseases. Study Design: Prospective and retrospective patient registries. Study Population: Patients with adrenal gland disorders, including primary aldosteronism, pheochromocytoma, adrenal cancer, adrenal incidentalomas, and mild autonomous cortisol secretion Research Methods: 1. Securing prospective and retrospective registries of patients with adrenal diseases. 2. Obtaining a common data model for adrenal diseases. 3. Utilizing the secured registries and common data model for multicenter studies to generate clinical evidence for adrenal diseases. 4. Linking public and medical data with the secured registries to further research in generating clinical evidence for adrenal diseases.