Target trial emulation with multi-state model analysis to assess treatment effectiveness using clinical COVID-19 data.

ABSTRACT:

Background

Real-world observational data are an important source of evidence on the treatment effectiveness for patients hospitalized with coronavirus disease 2019 (COVID-19). However, observational studies evaluating treatment effectiveness based on longitudinal data are often prone to methodological biases such as immortal time bias, confounding bias, and competing risks.

Methods

For exemplary target trial emulation, we used a cohort of patients hospitalized with COVID-19 (n = 501) in a single centre. We described the methodology for evaluating the effectiveness of a single-dose treatment, emulated a trial using real-world data, and drafted a hypothetical study protocol describing the main components. To avoid immortal time and time-fixed confounding biases, we applied the

SUBMITTER: Martinuka O 

PROVIDER: S-EPMC10474639 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature