How can current oncological datasets be adjusted to support the automated patient recruitment in clinical trials?
Maria-Luisa Marino,
Lara Kazmaier,
Antonia Krendelsberger
et al.
Abstract:Objectives: This study aims to identify necessary adjustments required in existing oncological datasets to effectively support automated patient recruitment. Methods: We extracted and categorized the inclusion and exclusion criteria from 115 oncological trials registered on ClinicalTrials.gov in 2022. These criteria were then compared with the content of the oBDS (Oncological Base Dataset version 3.0), Germany’s legally mandated oncological data standard. Results: The analysis revealed that 42.9% of generalize… Show more
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