Exploring the discrepancies between clinical trials and real-world data: A small-cell lung cancer study.

ABSTRACT: The potential of real-world data to inform clinical trial design and supplement control arms has gained much interest in recent years. The most common approach relies on reproducing control arm outcomes by matching real-world patient cohorts to clinical trial baseline populations. However, recent studies pointed out that there is a lack of replicability, generalisability, and consensus. In this article, we propose a novel approach that aims to explore and examine these discrepancies by concomitantly investigating the impact of selection criteria and operations on the measurements of outcomes from the patient data. We tested the approach on a dataset consisting of small-cell lung cancer patients receiving platinum-based chemotherapy regimens from a real-world data cohort (n = 223) and six c

SUBMITTER: Marzano L 

PROVIDER: S-EPMC11306525 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature