Exploring the potential of German claims data to identify incident lung cancer patients
Josephine Kanbach, Nikolaj Rischke, Sabine Luttmann, Ulrike Haug

TL;DR
This study evaluates a method to identify new lung cancer patients in German healthcare data, finding it effective and yielding plausible results.
Contribution
The study validates an algorithm's effectiveness in identifying incident lung cancer cases using German claims data.
Findings
Identified approximately 9,500–10,500 incident lung cancer patients annually in Germany.
Age-standardized incidence rates were 45 per 100,000 in men and 27 per 100,000 in women in 2018.
Survival rates were higher in women compared to men.
Abstract
Real-world healthcare databases offer great potential for cancer research, but the valid identification of cancer patients is crucial for the suitability of a database in this regard. We aimed to assess the plausibility of an algorithm to identify incident lung cancer (LC) patients in German claims data. Using the German Pharmacoepidemiological Research Database (GePaRD; claims data from ∼ 20% of the German population) we applied a previously developed algorithm which identifies incident LC patients and classifies them into advanced and non-advanced. We calculated age-standardized incidence rates (ASIRs) per 100,000 for the years 2013–2018. Further, we assessed the ASIRs stratified by the deprivation index of the district of residence and determined age-standardized five-year absolute and relative survival. We stratified all analyses by sex. Overall, we identified ∼ 9,500 − 10,500…
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Taxonomy
TopicsGlobal Cancer Incidence and Screening · Lung Cancer Treatments and Mutations · Colorectal Cancer Screening and Detection
