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Record W3107120908 · doi:10.1093/ehjci/ehaa946.3353

Dulaglutide is cardioprotective with or without background metformin in patients with diabetes and established or high risk for coronary vascular disease. A subgroup analysis of the REWIND Trial

2020· article· en· W3107120908 on OpenAlexaff
Giulia Ferrannini, Hertzel C. Gerstein, Helen M. Colhoun, Gilles R. Dagenais, Raphael Diaz, Leanne Dyal, Mark Lakshmanan, Linda Mellbin, Jeffrey L. Probstfield, Matthew C. Riddle, Jonathan E. Shaw, Lars Rydén

Bibliographic record

VenueEuropean Heart Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de QuébecMcMaster University
Fundersnot available
KeywordsMedicineDulaglutideMetforminHazard ratioType 2 diabetesInternal medicineMyocardial infarctionDiabetes mellitusSitagliptinPlaceboCoronary artery diseaseStroke (engine)Clinical endpointSaxagliptinRandomized controlled trialLiraglutideEndocrinologyInsulinConfidence interval

Abstract

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Abstract Background The 2019 ESC/EASD European Guidelines for Diabetes, Prediabetes and Coronary Artery Disease introduced a paradigm shift in the management of patients with type 2 diabetes (T2D) at high risk for or already established cardiovascular (CV) disease by recommending a GLP-1 receptor agonist (GLP-1 RA) as initial glucose lowering therapy in patients without any previous antihyperglycaemic treatment. This recommendation has been questioned since outcome trials of GLP-1-RA were usually conducted with metformin as background therapy. Purpose The aim of this report is to determine whether the effect of dulaglutide on cardiovascular events varies according to baseline metformin therapy. It was tested by a subgroup analysis of the Researching Cardiovascular Events with a Weekly Incretin in Diabetes (REWIND) trial. Methods REWIND, a multicentre, double-blind, placebo-controlled trial, comprised 9901 participants (women: 46.3%; mean age: 66.2 years) with T2D and either a previous CV event (31%) or a high CV risk (69%). They were randomised (1:1) to either sc. dulaglutide (1.5 mg/week) or placebo in addition to standard of care. The primary outcome was the first of a composite of non-fatal myocardial infarction or stroke or CV death. Secondary outcomes were a microvascular composite endpoint, all-cause death and heart failure. The effect of dulaglutide study outcomes in patients with and without baseline metformin was evaluated by means of a Cox regression hazard model with baseline metformin, dulaglutide assignment and the interaction between dulaglutide and metformin as independent variables. Adjusted hazard ratios (HR) and 95% confidence intervals (CI) were estimated using a Cox regression model with additional adjustments for factors that differed at baseline between people on vs. those not on baseline metformin selected by a backward regression model. A p<0.05 was considered significant (see Figure 1). Results Patients without metformin at baseline (n=1864; 19%) were older, leaner, more likely to be women and had a higher proportion of prior CV events, heart failure and renal disease than patients with metformin (n=8037; 81%). During a median follow-up of 5.4 years (IQR 5.1–5.9), the primary outcome occurred in 976 (12%) participants with baseline metformin and in 281 (15%) without metformin. There was no significant difference in the effect of dulaglutide on the primary outcome in the groups with vs. without metformin at baseline (HR 0.93 [CI 0.82–1.06] vs. 0.78 [CI 0.61–0.99]; p for interaction=0.16). The effect of dulaglutide on the secondary outcomes was also not modified by concomitant metformin use (all interaction p>0.1). Conclusion This exploratory analysis suggests that the cardioprotective effect of dulaglutide does not depend on baseline metformin therapy. This supports the recommendation of using agents with proven cardioprotective efficacy without metformin in patients with diabetes and additional cardiac risk factors. Figure 1. Forest plot Funding Acknowledgement Type of funding source: Private company. Main funding source(s): Eli Lilly and Company

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.009
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.246
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations5
Published2020
Admission routes1
Has abstractyes

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