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Using real-world (RW) data from registries to mimic or substitute a comparator arm of clinical trials is increasingly investigated. The feasibility of using data sources for this purpose depends on the source’s completeness of the wide spectrum of a disease characteristics and relevant endpoints, which could allow for proper matching of important variables. This is a Norwegian study using data from three population-based registries, the Cancer Registry (CRN), the National Patient Registry (NPR), and the Norwegian Prescribed Drug Registry (LMR). We assessed if the registries contained the information necessary for selecting a RW cohort of patients with characteristics that mimicked the inclusion and exclusion criteria from the control arm of the phase 3 trial (KeyNote-407) on patients with stage IV, squamous NSCLC. We did this both on an aggregated - and individual data level. We also described the survival in the RW-cohorts and compared it with the survival in the control arm of the KN-407 trial. Using aggregated data from the CRN allowed us to find the patients based on some clinically relevant inclusion criteria, but only to a limited extent could we apply the exclusion criteria of KN-407. When we used individual data from the CRN, NPR and the LMR we could create a patient cohort that shared more criteria corresponding to the eligibility criteria from KN-407, including exclusion criteria. Compared to the 11.3 months (CI 95% 9.5, 14.8) median survival in the control arm of KN-407, both RW-cohorts had a shorter median survival, 7.07 months (CI 95% 6.7, 9.5) (individual) and 8.0 months (CI 95% 5.8, 10.5) (aggregated). Even if we demonstrated that the registries contain clinically relevant information necessary to mimic the eligibility criteria of a selected RCT, the survival is shorter for RW patients compared to their control arm counterpart in the RCT.

Initial investigation of using Norwegian health data for the purpose of external comparator arms - an example for non-small cell lung cancer