Outcomes of SGLT-2i and GLP-1RA Therapy Among Patients With Type 2 Diabetes and Varying NAFLD Status
Bibliographic record
Abstract
Importance: Nonalcoholic fatty liver disease (NAFLD) is a cardiovascular risk factor, but whether sodium-glucose cotransporter-2 inhibitors (SGLT-2i) and glucagon-like peptide-1 receptor agonists (GLP-1RA) are associated with reduced cardiovascular risk in patients with type 2 diabetes (T2D) and concomitant NAFLD remains uncertain. Objective: To investigate the outcomes of SGLT-2i and GLP-1RA therapy among patients with T2D varied by the presence or absence of NAFLD. Design, Setting, and Participants: This retrospective, population-based, nationwide cohort study used an active-comparator new-user design. Two distinct new-user active-comparator cohorts of patients aged 40 years and older who initiated SGLT-2i or GLP-1RA were propensity score matched to patients who initiated dipeptidyl peptidase-4 inhibitors (DPP-4i). The study was conducted in South Korea from January 2013 to December 2020, and data analysis was conducted from October 2022 to March 2023. Main Outcomes and Measures: The main outcomes were (1) major adverse cardiovascular events (MACE), a composite end point of hospitalization for myocardial infarction, hospitalization for stroke, and cardiovascular death, and (2) hospitalization for heart failure (HHF). Cox proportional hazards models were used to estimate hazard ratios (HRs). The Wald test was applied to assess heterogeneity by NAFLD. Results: After 1:1 propensity score matching, 140 438 patients were retrieved in the first cohort (SGLT-2i vs DPP-4i; mean [SD] age, 57.5 [10.3] years; 79 633 [56.7%] male) and 34 886 patients were identified in the second cohort (GLP-1RA vs DPP-4i; mean [SD] age, 59.5 [10.5] years; 17 894 [51.3%] male). Compared with DPP-4i, SGLT-2i therapy was associated with a lower risk of MACE (HR, 0.78 [95% CI, 0.71-0.85]) and HHF (HR, 0.62 [95% CI, 0.48-0.81]). GLP-1RA therapy was associated with a decreased risk of MACE (HR, 0.49 [95% CI, 0.39-0.62]) but had statistically nonsignificant findings regarding HHF (HR, 0.64 [95% CI, 0.39-1.07]). Stratified analysis by NAFLD status yielded consistent results for SGLT-2i (MACE with NAFLD: HR, 0.73 [95% CI, 0.62-0.86]; without NAFLD: HR, 0.81 [95% CI, 0.72-0.91]; HHF with NAFLD: HR, 0.76 [95% CI, 0.49-1.17]; without NAFLD: HR, 0.56 [95% CI, 0.40-0.78]) and for GLP-1RA (MACE with NAFLD: HR, 0.49 [95% CI, 0.32-0.77]; without NAFLD: HR, 0.49 [95% CI, 0.37-0.65]; HHF with NAFLD: HR, 0.82 [95% CI, 0.38-1.76]; without NAFLD: HR, 0.54 [95% CI, 0.27-1.06]). Conclusions and Relevance: In this population-based cohort study, SGLT-2i therapy was associated with a decreased risk of MACE and HHF, while GLP-1RA therapy was associated with a decreased risk of MACE among patients with T2D, irrespective of baseline NAFLD status.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".