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Emulating the LEADER trial in China: a regulatory science case study on non-interventional research
Jun Zhao1,2, Xiaona Xin2, Yuanyuan Song3
1Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
This study validated liraglutide
Area of Science:
- Cardiovascular Safety Research
- Real-World Evidence (RWE) in Clinical Trials
- Pharmacovigilance and Drug Safety
Background:
- Real-world evidence (RWE) requires validation against randomized controlled trials (RCTs) for regulatory use.
- Emulating RCTs with claims data presents methodological and operational challenges.
- Understanding liraglutide's cardiovascular safety is crucial for diabetes management.
Purpose of the Study:
- To emulate the LEADER trial using Chinese claims data to assess liraglutide's cardiovascular safety.
- To evaluate the concordance between RWE and RCT findings for liraglutide.
- To examine challenges in emulating RCTs with real-world claims data.
Main Methods:
- Emulated the LEADER trial protocol using the Beijing Municipal Medical Insurance Database (2020-2024).
- Identified new users of liraglutide and dipeptidyl peptidase-4 inhibitors (DPP4i) as active comparators.
- Utilized propensity score matching, Cox proportional hazards models, and negative control outcomes to assess cardiovascular safety and confounding.
Main Results:
- The study included 17,772 patients, with a median follow-up of 35 months.
- Liraglutide showed a trend toward reduced 3-point Major Adverse Cardiovascular Events (MACE) risk (HR 0.90; P=0.063) compared to DPP4i.
- Sensitivity analyses indicated potential benefits and confirmed the absence of unmeasured confounding, aligning with LEADER trial findings.
Conclusions:
- This target trial emulation study validated liraglutide's cardiovascular safety profile, demonstrating non-inferiority to DPP-4 inhibitors for MACE risk.
- While the primary analysis showed a trend towards benefit, sensitivity analyses supported the robustness of liraglutide's safety findings.
- The study highlights the feasibility and challenges of using claims data for emulating RCTs to inform regulatory decision-making.
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