Abstract 4362948: Use of a Principled Framework to Compare Cardiovascular Outcomes from the FOURIER Trial to a FOURIER like-External Control Arm Using Real-World Data

Background: In open-label extension studies, concurrent control arms are not always feasible. Further Cardiovascular Outcomes Research with PCSK9 Inhibition in subjects with Elevated Risk (FOURIER) open label extension demonstrated the long-term safety of evolocumab. However, in the absence of a concurrent placebo arm, long-term treatment effect could not be estimated. Aim: To create an external control arm (ECA) using real world data that is comparable to the FOURIER placebo arm to support estimation of long-term treatment effect. Methods: A FOURIER-like ECA was created from the UK Clinical Practice Research Datalink (CPRD) Aurum data using trial eligibility criteria and enrollment windows. The primary endpoint was a 4-point (4P) major adverse cardiovascular event (MACE) composite of myocardial infarction (MI), stroke, coronary revascularization and cardiovascular (CV) death. The key secondary endpoint was a 3-point (3P) composite of MI, stroke and CV death. A pre-specified principled approach with two checkpoints was used to evaluate the comparability of the ECA with FOURIER ( Figure 1 ). Baseline characteristics of the ECA were compared to FOURIER placebo and evolocumab arms separately after applying inverse probability of treatment weights, using standardized mean differences (SMDs) [comparability criterion: SMD <0.15]. Additionally, all endpoint event rates were compared between FOURIER placebo arm and ECA over the FOURIER trial duration. Corresponding hazard ratios (HR) and 95% CI were calculated after applying inverse probability of censoring weights [comparability criterion: overlapping 95% CI for both event rates and HR]. Endpoints that meet both criteria could then be compared to evaluate long-term treatment effect. Results: In CPRD data, 56,490 patients met the FOURIER eligibility criteria. After weighting, all SMDs for baseline characteristics were <0.15 for the ECA vs. FOURIER placebo and evolocumab arms, separately, establishing baseline comparability. Over 2.2 years, the 4P MACE and 3P MACE endpoints were comparable between the FOURIER placebo arm and weighted ECA (HR for 4P MACE: 0.94, 95% CI: 0.86, 1.03; HR for 3P MACE: 1.10, 95%CI: 0.99, 1.22) ( Figure 2 ). Conclusion: These results suggest that a principled framework can be used to develop a trial-like cohort from real world data and may be a useful tool to potentially evaluate long-term treatment benefits of cardiovascular medicines, when appropriately analyzed and gated.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4362948
Primary Topic
Cardiovascular Health and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4362948: Use of a Principled Framework to Compare Cardiovascular Outcomes from the FOURIER Trial to a FOURIER like-External Control Arm Using Real-World Data

David Neasham, Shia T. Kent, Nafeesa N Dhalwani, Francesco Giorgianni et al.
Circulation
Cardiovascular Health and Risk Factors
article

Abstract 4362948: Use of a Principled Framework to Compare Cardiovascular Outcomes from the FOURIER Trial to a FOURIER like-External Control Arm Using Real-World Data

David Neasham, Shia T. Kent, Nafeesa N Dhalwani, Francesco Giorgianni, Gabriel Paiva da Silva Lima, Edward P. Walsh, Timothy L. Lash, Swati Sakhuja, M. Alan Brookhart, H.Z. Ke, Neil Accortt
article en

Abstract

Background: In open-label extension studies, concurrent control arms are not always feasible. Further Cardiovascular Outcomes Research with PCSK9 Inhibition in subjects with Elevated Risk (FOURIER) open label extension demonstrated the long-term safety of evolocumab. However, in the absence of a concurrent placebo arm, long-term treatment effect could not be estimated. Aim: To create an external control arm (ECA) using real world data that is comparable to the FOURIER placebo arm to support estimation of long-term treatment effect. Methods: A FOURIER-like ECA was created from the UK Clinical Practice Research Datalink (CPRD) Aurum data using trial eligibility criteria and enrollment windows. The primary endpoint was a 4-point (4P) major adverse cardiovascular event (MACE) composite of myocardial infarction (MI), stroke, coronary revascularization and cardiovascular (CV) death. The key secondary endpoint was a 3-point (3P) composite of MI, stroke and CV death. A pre-specified principled approach with two checkpoints was used to evaluate the comparability of the ECA with FOURIER ( Figure 1 ). Baseline characteristics of the ECA were compared to FOURIER placebo and evolocumab arms separately after applying inverse probability of treatment weights, using standardized mean differences (SMDs) [comparability criterion: SMD <0.15]. Additionally, all endpoint event rates were compared between FOURIER placebo arm and ECA over the FOURIER trial duration. Corresponding hazard ratios (HR) and 95% CI were calculated after applying inverse probability of censoring weights [comparability criterion: overlapping 95% CI for both event rates and HR]. Endpoints that meet both criteria could then be compared to evaluate long-term treatment effect. Results: In CPRD data, 56,490 patients met the FOURIER eligibility criteria. After weighting, all SMDs for baseline characteristics were <0.15 for the ECA vs. FOURIER placebo and evolocumab arms, separately, establishing baseline comparability. Over 2.2 years, the 4P MACE and 3P MACE endpoints were comparable between the FOURIER placebo arm and weighted ECA (HR for 4P MACE: 0.94, 95% CI: 0.86, 1.03; HR for 3P MACE: 1.10, 95%CI: 0.99, 1.22) ( Figure 2 ). Conclusion: These results suggest that a principled framework can be used to develop a trial-like cohort from real world data and may be a useful tool to potentially evaluate long-term treatment benefits of cardiovascular medicines, when appropriately analyzed and gated.

CirculationVol. 152(Suppl_3)
Amgen (United States) (US), Emory University (US), Duke University (US), Amgen (United Kingdom) (GB)
Openalex Percentile: Top 51%
Cardiovascular Health and Risk Factors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.