FRI0519 IMPROVING RHEUMATOID ARTHRITIS COMPARATIVE EFFECTIVENESS RESEARCH USING THE TARGET TRIAL EMULATION FRAMEWORK: A SYSTEMATIC REVIEW. (2nd June 2020)

• Record Type: Journal Article
• Authors: Zhao, S. S.; Lyu, H.; Solomon, D.; Yoshida, K.
• Is Part Of: Annals of the rheumatic diseases. Volume 79(2020)Supplement 1
• Page Start: 858
• Page End: 859
• Publication Date: 2020-06-02
• Subjects: Rheumatism -- Periodicals; 616.723005
• DOI: 10.1136/annrheumdis-2020-eular.1262
• Languages: English
• ISSNs: 0003-4967

Abstract

Abstract : Background: Methods used in observational comparative effectiveness research (CER) are highly variable. Target trial emulation is an intuitive design approach that encourages researchers to formulate their question as a hypothetical randomised controlled trial (RCT), or the "target trial". Using observational data to emulate the target trial helps avoid common biases and has been shown to better align results with actual RCTs. Objectives: We systematically reviewed observational CER studies in rheumatoid arthritis to provide examples of design issues that might have been avoided by using target trial emulation. Methods: We searched for head-to-head effectiveness comparisons of biologic DMARDs in RA. Study designs were reviewed for components of target trial emulation: 1) eligibility criteria, 2) treatment strategies, 3) assignment procedures, 4) follow-up period, 5) outcome, 6) causal contrasts of interest (i.e., intention-to-treat or per-protocol effect), and 7) analysis plan. Reported methods were taken as the "emulation" of a corresponding target trial, to assess design issues that might introduce bias. Results: We found 31 CER studies, the majority of which had one design issue belonging to one of the 7 protocol components (Table 1 ). The most common issues were: 1) 17 out of 31 studies used post-baseline information to define baseline eligibility (e.g. requiring ≥1 follow-up), which can bias results; 2) 26 out of 31 studies did not declare their causal contrast of interest, which is often made difficult by issue 1 and impacts data analysis and interpretation; and 3) 9 out of 31 studies used statistical selection of confounders rather than pre-defining them, which can also introduce bias (e.g. through adjustment of collider or intermediate variables). Conclusion: The majority of observational CER studies in RA have one or more design issues that may introduce bias. Target trial emulation is a structured approach for designing observational CER studies that helps to avoid common biases. Disclosure of Interests: Sizheng Steven Zhao: None declared, Houchen Lyu: None declared, Daniel Solomon Grant/research support from: Funding from Abbvie and Amgen unrelated to this work, Kazuki Yoshida: None declared