Background: Head and neck cancer included various type of cancer. Diagnosis and treatment are also changing rapidly. Valuable real-world evidence on clinical characteristics, treatments, and outcomes is often limited to single hospital databases or national-level registries. This study developed a common data model and federated analysis framework to enable research across multiple data sources, providing a deeper understanding of head and neck cancer and identifying unmet needs.
Methods: This observational study included head and neck cancer patients diagnosed between 2010 and 2020 in Samsung Medical Center. Data were collected using clinical data warehouse. Patients with an initial diagnosis of head and neck
cancer, and received at least one treatment for head and neck cancer. The primary outcome was real-world overall survival for head and neck cancer patients.
Results: This study included 726 patients with oropharyngeal cancer, 949 patients with lib and oral cavity cancer, and 729 patients with laryngeal cancer between 2010 and 2020. At initial diagnosis, in oropharyngeal cancer, 22.7%, 30.4%, 14.7%, and 21.1% of patients were stage I, II, III, and IV, respectively. In patients with lib and oral cavity cancer, 25.7%, 17.2%, 10.9%, and 25.1% were stage I, II, III, and IV, respectively. In patients with laryngeal cancer, 26.8%, 17.7%, 12.2%, 16.7% were stage I, II, III, and IV, respectively. In patients with oropharyngeal cancer, 49.6% of patients received definitive concurrent chemo-radiotherapy. In patient with lib and oral cavity cancer, 82.3% of patients received upfront surgery. In patients with laryngeal cancer, 54.0% of patients received upfront surgery. Median overall survival was 36.5 months (95% CI, 0.6∼145.7) in oropharyngeal cancer, 29.7 months (95% CI, 0.6∼139.7) in lib and oral cavity cancer, 45.2 months (95% CI, 1.2∼147.2).
Conclusion: This study successfully collected and analyzed medical data from Clinical datawarehouse. The large analyzable dataset provides meaningful insights into Korean real-world clinical practice and holds great promise for future
comprehensive identification of sub-populations and unmet needs.
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