Differential frequency in imaging-based outcome measurement: Bias in real-world oncology comparative-effectiveness studies.

ABSTRACT:

Background

Comparative-effectiveness studies using real-world data (RWD) can be susceptible to surveillance bias. In solid tumor oncology studies, analyses of endpoints such as progression-free survival (PFS) are based on progression events detected by imaging assessments. This study aimed to evaluate the potential bias introduced by differential imaging assessment frequency when using electronic health record (EHR)-derived data to investigate the comparative effectiveness of cancer therapies.

Methods

Using a nationwide de-identified EHR-derived database, we first analyzed imaging assessment frequency patterns in patients diagnosed with advanced non-small cell lung cancer (aNSCLC). We used those RWD inputs to develop a discrete event simulation model of two treatments where

SUBMITTER: Adamson BJS 

PROVIDER: S-EPMC9290806 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature