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
Bibliographic record
Abstract
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".