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Abstract 4345655: Sodium–Glucose Cotransporter 2 Inhibitors are Cost-Effective and Dominate Glucagon-Like Peptide-1 Receptor Agonists for Patients with Type 2 Diabetes and High Cardiorenal Risk in Canada

2025· article· en· W4415790410 on OpenAlexaffabout
Abhinav Sharma, Pedro Vieira‐Marques, Elite Possik, Ankur Pandya, Michael A. Tsoukas, Thomas A. Mavrakanas, Kaberi Dasgupta, Nisha Gupta, W. Alton Russell

Bibliographic record

VenueCirculation · 2025
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsMcGill UniversityMcGill University Health CentreBiotechnology Research Institute
Fundersnot available
KeywordsMaceType 2 diabetesPopulationDiabetes mellitusHeart failureDemographics

Abstract

fetched live from OpenAlex

Background: The Canadian Cardiovascular Society recommends that patients with type 2 diabetes (T2D) and cardiovascular disease, renal disease, or multiple cardiovascular risk factors initiate Glucagon-like peptide-1 receptor agonists (GLP-1 RA) or Sodium–glucose cotransporter 2 inhibitors (SGLT2i). Both therapies have demonstrated success reducing deaths, and cardiovascular and renal events for this population but are expensive compared to other T2D treatments. Aims: To assess the cost-effectiveness of SGLT2i and GLP-1 RA in this high-risk population from a Canadian healthcare payer perspective. Methods: We developed a patient-level simulation model to estimate lifetime costs, clinical events, and quality adjusted life years (QALYs) for patients initiating SGLT2i, GLP-1 RA or remaining on “baseline treatment,” i.e., other standard-of-care medications. Simulated patients’ initial laboratory values and demographics were based on 175 Quebec patients referred for GLP-1 RA and/or SGLT2i initiation in 2022–2024. Risk equations and treatment effects were calibrated to endpoints from placebo-controlled cardiovascular outcomes trials. We estimated cost-effectiveness over a patient lifetime horizon using a 3% annual discount rate. Results: Compared to baseline treatment, SGLT2i and GLP-1 RA reduced lifetime rates of cardiovascular and renal events and produced higher net present QALYs (+0.28 SGLT2i; +0.24 GLP-1 RA), but at a higher net present cost (+$4,600 SGLT2i; +$25,560 GLP-1 RA). Per 1000 patient years, the population initiating GLP-1 RA were predicted to have 1.95 fewer renal failure events and 4.22 fewer MACE events compared to baseline treatment. The same population initiating SGLT2i instead were predicted to have 2.29 fewer renal failure events, 3.55 fewer MACE events and 1.42 fewer CHF events compared to baseline treatment. SGLT2i cost $16,440 per QALY gained and were consistently cost-effective in sensitivity analyses at the commonly used threshold of $50,000. GLP-1 RA cost $107,910 per QALY gained and were dominated by SGLT2i in 84% of probabilistic sensitivity analysis iterations. Conclusion: While both treatments improved health outcomes compared to baseline treatment, SGLT2i provided more QALYs at a lower price than GLP-1 RA and are cost-effective at current prices in Canada. The introduction of cheaper generic alternatives and accounting for emerging evidence that these medications impact other clinical outcomes could alter their cost-effectiveness.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.966
Threshold uncertainty score0.249

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.004
GPT teacher head0.201
Teacher spread0.197 · 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 designSimulation or modeling
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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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