Trial reportCardiovascular diabetology2025
Impact of changes in conventional risk factors induced by once-weekly GLP-1 receptor agonist exenatide on cardiovascular outcomes: an EXSCEL post hoc analysis.
Trial report in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Potential Mediators of Efpeglenatide's Cardiovascular Benefit: An Exploratory Analysis of the AMPLITUDE-O Trial.Diabetes, obesity & metabolism · 2026Trial
- Orforglipron: A Comprehensive Review of an Oral Small-Molecule GLP-1 Receptor Agonist for Obesity and Type 2 Diabetes.International journal of molecular sciences · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundThe objective of this study was to examine the degree to which conventional cardiovascular (CV) risk factor changes induced by once-weekly exenatide (EQW) might explain the placebo-controlled differences in CV outcomes observed in the Exenatide Study of Cardiovascular Event Lowering (EXSCEL).
methodsWe entered participant-level risk factor values over time into a validated type 2 diabetes-specific clinical outcomes model to estimate event rates, and compared simulated with observed relative risk changes in EXSCEL. We performed simulations for each participant to minimize uncertainty and to optimize confidence interval precision around risk point estimates. Six outcomes were examined: major adverse CV event (MACE), all-cause mortality (ACM), CV death, fatal or nonfatal myocardial infarction (MI), fatal or nonfatal stroke, and hospitalization for heart failure (hHF). We also performed a mediation analysis using Cox regression models to evaluate potential key mediators for ACM.
resultsModel simulations explained only modest proportions of the observed relative risk reductions for MACE (29%), ACM (15%), CV death (18%), and stroke (29%), but greater proportions for hHF (67%) and MI (200%). Mediation analysis suggested that baseline-to-6 or 12-month changes in HbA
conclusionsThese model simulations explain only a modest proportion of the impact of observed EQW-induced changes in conventional CV risk factors on EXSCEL outcomes, apart from hHF and MI. Up to 1-year changes in conventional risk factors did not mediate the observed ACM risk reduction.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.