LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Comparison of a Target Trial Emulation Framework vs Cox Regression to Estimate the Association of Corticosteroids With COVID-19 Mortality

Photo by ggfujyoj from unsplash

Key Points Question How do modern methods for statistical inference compare with approaches common in the clinical literature when estimating the association of corticosteroids with mortality for patients with moderate… Click to show full abstract

Key Points Question How do modern methods for statistical inference compare with approaches common in the clinical literature when estimating the association of corticosteroids with mortality for patients with moderate to severe COVID-19? Findings In a cohort study using retrospective data for 3298 hospitalized patients with COVID-19, target trial emulation using a doubly robust estimation procedure successfully recovers a benchmark from a meta-analysis of randomized clinical trials . In contrast, analytic approaches common in the clinical research literature generally cannot recover the benchmark. Meaning These findings suggest that clinical research based on observational data can be used to estimate findings similar to those from randomized clinical trials; however, the correctness of these estimates requires designing and analyzing the data set on principles that are different from the current standard in clinical research.

Keywords: mortality; target trial; trial emulation; association corticosteroids

Journal Title: JAMA Network Open
Year Published: 2022

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.