Abstract
BACKGROUND:
Both GLP-1 (glucagon-like peptide-1) receptor agonists and SGLT2 (sodium-glucose cotransporter-2) inhibitors (SGLT2i) improve cardiovascular outcomes in people with type 2 diabetes and cardiovascular or chronic kidney disease. However, there are limited data about the effect of combining these agents on cardiovascular and safety outcomes.
METHODS:
The SOUL trial (Semaglutide Cardiovascular Outcomes Trial; NCT03914326) randomized 9650 participants with type 2 diabetes and atherosclerotic cardiovascular disease and/or chronic kidney disease to oral semaglutide or placebo. As prespecified, participants were analyzed according to baseline use of SGLT2i (yes, n=2596; no, n=7054), and subsequently for any use of SGLT2i during the trial (yes, n=4718; no, n=4932). The primary outcome was time to first major adverse cardiovascular event, defined as cardiovascular death, nonfatal myocardial infarction, or nonfatal stroke. Safety was evaluated by comparing the incidence of serious adverse events.
RESULTS:
Over a mean follow-up of 47.5±10.9 months, the risk of the primary outcome in the overall trial population was 14% lower for oral semaglutide versus placebo (hazard ratio, 0.86; 95% CI, 0.77–0.96). In those taking SGLT2i at baseline, there were 143 of 1296 (semaglutide) versus 158 of 1300 (placebo) primary outcome events (hazard ratio, 0.89; 95% CI, 0.71–1.11); and 436 of 3529 versus 510 of 3525, respectively, in participants not taking SGLT2i at baseline (hazard ratio, 0.84; 95% CI, 0.74–0.95; P-interaction, 0.66). An analysis of major adverse cardiovascular events by any in-trial SGLT2i use versus no use also showed no evidence of heterogeneity in the effects of oral semaglutide. The adverse event profiles of oral semaglutide with or without concomitant SGLT2i were similar.
CONCLUSIONS:
Oral semaglutide reduced major adverse cardiovascular event outcomes independently of concomitant SGLT2i treatment, and this combination appeared to be safe.
REGISTRATION:
URL: https://www.clinicaltrials.gov; Unique identifier: NCT03914326.
Keywords: cardiovascular diseases; cardiovascular system; diabetes mellitus, type 2; glucagon-like peptide-1 receptor agonists; renal insufficiency, chronic; semaglutide; sodium-glucose transporter 2 inhibitors
Clinical Perspective.
What Is New?
Several studies have independently demonstrated cardiovascular benefit with GLP-1 (glucagon-like peptide-1) receptor agonists or SGLT2 (sodium-glucose cotransporter-2) inhibitors (SGLT2i) in patients with type 2 diabetes at high cardiovascular risk; however, evidence supporting combination treatment is lacking.
The SOUL trial included 9650 participants (randomized 1:1 to oral semaglutide or placebo), of whom 2596 (26.9%) were using SGLT2i at baseline and 4718 (48.9%) had any SGLT2i use during the trial.
This prespecified analysis of the largest data set of combined use of GLP-1 receptor agonists and SGLT2i in a cardiovascular outcomes trial to date explored the effects of oral semaglutide use on top of SGLT2i on the trial primary outcome of major adverse cardiovascular events and safety.
What Are the Clinical Implications?
The findings from this prespecified analysis of the SOUL trial suggest that oral semaglutide reduces major adverse cardiovascular event outcomes in type 2 diabetes and atherosclerotic cardiovascular disease and/or chronic kidney disease consistently in participants with and without concomitant SGLT2i use, and the combination appears to be safe.
These findings therefore provide clinicians further confidence to combine GLP-1 receptor agonists and SGLT2i with the aim of reducing cardiovascular events in people with type 2 diabetes at high cardiovascular risk and underscore current guideline recommendations for the additive use of both agents in people with type 2 diabetes and atherosclerotic cardiovascular disease.
Individuals with type 2 diabetes (T2D) have an increased risk of developing cardiovascular and chronic kidney disease (CKD), and the presence of these comorbidities has a major impact on prognosis.
Results from several outcome trials have independently demonstrated benefits on cardiovascular outcomes of GLP-1 (glucagon-like peptide-1) receptor agonists (RA)1–6 and of sodium-glucose cotransporter-2 inhibitors (SGLT2i)7–11 in people with T2D and high cardiovascular risk and/or CKD. Based on these trial results, as well as on data from meta-analyses for both drug classes,12,13 current guidelines recommend treatment with GLP-1 RA and SGLT2i in people with T2D and atherosclerotic cardiovascular disease (ASCVD) to reduce cardiovascular risk, independent of glucose control and concomitant glucose-lowering medications.14,15 Although both classes are recommended in guidelines, there is little evidence about the efficacy of combination therapy with both drug classes. The trials that examined GLP-1 RA and SGLT2i were conducted concurrently, and therefore relatively few participants in each of the trials were receiving the other class of drug. As the biological mechanisms contributing to the beneficial effects of both drug classes are likely to be different, they are potentially complementary and therefore additive. Several short-term trials investigating the combination of GLP-1 RA and SGLT2i have shown further improvement of metabolic parameters16 versus their monotherapies, but as yet, no randomized study has been published to evaluate cardiovascular outcomes of combination treatment. Data on the cardiovascular effects of the combination therapy with GLP-1 RA and SGLT2i are therefore only available from subgroup analyses of cardiovascular outcomes trials (CVOTs) involving GLP-1 RA, such as AMPLITUDE-O, HARMONY OUTCOMES, and FLOW, all suggesting consistent benefits of GLP-1 RA in participants with and without baseline SGLT2i use.17–19 A recent meta-analysis including these 3 trials confirmed the consistent cardiovascular benefits of GLP-1 RAs, regardless of SGLT2i use, but overall, only 10.2% of all participants were receiving an SGLT2 inhibitor at baseline.20
In SOUL, a randomized, placebo-controlled trial examining the effects of the oral GLP-1 RA semaglutide on the risk of cardiovascular events in 9650 individuals with T2D and established ASCVD and/or CKD, use of SGLT2i at baseline was 26.9%, providing the largest data set from a single CVOT on the combined use of GLP-1 RA and SGLT2i.21,22 We hypothesized that the benefit of oral semaglutide on cardiovascular outcomes in SOUL is independent of SGLT2i use and that the combination of both agents is safe. Therefore, in prespecified analyses, we examined the effect of oral semaglutide on cardiovascular outcomes, stratified by baseline use of SGLT2i, and in addition analyzed the impact of overall SGLT2i therapy during the trial, including incident use after randomization.
METHODS
De-identified participant-level data will be made available on a specialized data platform after completion of the research and approval of the product and product use in both the European Union and the United States. The clinical study report will be made available after completion of the research and approval of the product and product use in both the European Union and the United States. Data will be shared with bona fide researchers submitting a research proposal requesting access to data for research use, as approved by the institutional review board. The access request proposal form and full details of access criteria can be found at http://www.novonordisk-trials.com.
Study Design and Participants
The SOUL trial was a double-blind, randomized, placebo-controlled, event-driven phase 3b trial in 33 countries (444 sites) evaluating once-daily oral semaglutide (up to 14 mg) given as an adjunct to standard-of-care treatment in participants with T2D and established ASCVD and/or CKD. The primary efficacy outcome was time to first occurrence of major adverse cardiovascular events (MACE). The protocol for SOUL was approved by the institutional review board and ethics committee at each participating center. All participants provided written informed consent before any trial-specific activity. Study design, participant baseline characteristics, and overall study outcomes have been published previously.21,22 The study is registered with http://www.clinicaltrials.gov (Unique identifier: NCT03914326).
Men or women ≥50 years of age with T2D (American Diabetes Association criteria)23 and glycated hemoglobin (HbA1c) of 6.5% to 10.0% (47–86 mmol/mol) were eligible and were included if they had established ASCVD (≥1 coronary artery disease, cerebrovascular disease, or symptomatic peripheral arterial disease) and/or CKD, defined as an estimated glomerular filtration rate <60 mL/min/1.73 m2. Exclusion criteria included myocardial infarction; stroke; hospitalization for unstable angina or transient ischemic attack within 60 days before screening; planned coronary, carotid, or peripheral artery revascularization; New York Heart Association class IV heart failure; end-stage kidney disease requiring dialysis; and GLP-1 RA treatment within 30 days before screening.
The present prespecified analyses investigated the associations between SGLT2i use at baseline and any SGLT2i use during the trial on primary and secondary efficacy outcomes in participants randomized to receive oral semaglutide versus placebo.
Randomization and Masking
Participants were randomly assigned (1:1) to receive oral semaglutide or placebo using a central interactive web response system on the same day as screening or up to 3 weeks afterward.21 Participants received 3 mg of oral semaglutide or matching placebo once daily for 4 weeks, followed by 7 mg once daily for 4 weeks and then 14 mg once daily until the end of the trial. Masking was achieved through use of visually identical oral semaglutide and placebo tablets, in identical packaging.21 Investigators were permitted to extend these dose escalation intervals, reduce the dose of the study product, or pause treatment if tolerability issues occurred. Investigators were instructed to manage hyperglycemia and cardiovascular risk factors according to local guidelines with the limitation that addition of a GLP-1 RA was not allowed.
Outcomes
The primary outcome of the SOUL trial was time from randomization to first occurrence of MACE (a composite outcome comprising time to cardiovascular death, time to nonfatal myocardial infarction, or time to nonfatal stroke) in participants receiving oral semaglutide or placebo. Secondary outcomes included time to all-cause death, single components of the combined primary outcome, and changes in HbA1c, blood pressure, body weight, LDL (low-density lipoprotein) cholesterol, estimated glomerular filtration rate, and high-sensitivity CRP (C-reactive protein). Cardiovascular events, as well as selected adverse events, were adjudicated by a central adjudication committee blinded to treatment assignment. Outcomes were also analyzed to explore the associations between use of SGLT2i at any time during the study (including use at baseline and initiation at any time during the study) and efficacy outcomes of interest. Safety is reported as the incidence of serious adverse events among participants receiving oral semaglutide and placebo who were, and were not, using SGLT2i at baseline.
Statistical Analysis
Details on the overall statistical analysis plan are reported in the primary article.22 The current analysis was prespecified in the statistical analysis plan. The estimand for all study objectives including safety objectives was based on the intention-to-treat principle, evaluating the effect of the randomized treatment irrespective of adherence to treatment and changes to background medication (including SGLT2i), and conducted in the full analysis set, which included all randomized participants across the in-trial observation period. All analyses used the time to first event from time of randomization. Composite outcomes were defined by the first incident component of the composite. For reporting of individual components of composites, the earliest event of the specific component of the composite is reported.
Baseline characteristics and participant demographics are summarized according to use of SGLT2i or not at baseline, overall, and according to randomization to receive oral semaglutide or placebo.
Time-to-event outcomes were analyzed using a Cox proportional hazards model, with randomized treatment group (oral semaglutide or placebo) as a fixed factor. Subgroup analyses were performed adding the interaction term between SGLT2i use at baseline or SGLT2i during the trial and treatment group. Data from participants who withdrew from the trial, died from causes not included in the outcome, or were lost to follow-up were censored at the time of these events. Time-to-event outcomes were plotted by randomized treatment group and SGLT2i use at baseline using the Aalen-Johansen estimator and are presented as cumulative incidences considering noncardiovascular death or all-cause death as a competing event dependent of the outcome. Furthermore, 2 time-dependent Cox proportional hazards models were performed, one with SGLT2i use as time-dependent variable (yes or no) during trial and randomized treatment as a fixed factor, and another with SGLT2i use during trial as time-dependent variable interacting with randomized treatment. These nonrandomized comparisons do not account for possible differential indications for modifying SGLT2i use across treatment groups.
Additional models explored estimation of treatment effects if first initiation and first discontinuation of SGLT2i use were similar in both treatment groups under the acceptance of strict assumptions of no unmeasured confounding and no informative censoring. An inverse probability weighting analysis of time to first MACE was performed using a marginal structural Cox proportional hazards model.24 The weights in these analyses were calculated in 2 time-dependent Cox proportional hazards models by each treatment group and then combined, one for time to first initiation of SGLT2i use or censoring among those participants who did not use SGLT2i at baseline and one for time to first discontinuation of SGLT2i or censoring among those who used SGLT2i at baseline. The stabilized weights were calculated for each participant by each day from randomization until either first MACE or censoring.25 The denominator was calculated as the predicted probability (1 minus the survival probability) of either initiating or discontinuing SGLT2i use, using baseline covariables and time-dependent covariables (the numerator was calculated using an empty model). These weights for each participant and each day were then truncated, such that the 1% of most extreme weights in each tail were set to the 1% and 99% percentiles, respectively.25 The stabilized weights were then applied in a weighted time-dependent robust Cox proportional hazards model using a sandwich estimator with treatment group and (time-dependent) SGLT2i use defined as above as fixed factors when evaluating the occurrence of first MACE.26 Furthermore, a model with the interaction term between treatment arm and SGLT2i use during the trial was performed. The estimates from these models should be cautiously interpreted as the assumptions of no unmeasured confounding and no informative censoring cannot be verified in the observed data.
Continuous outcomes from baseline to week 104 and week 156 were analyzed using a linear regression with treatment group, SGLT2i use at baseline, and the interaction term between treatment group and SGLT2i use at baseline adjusted for baseline values of the outcome. Multiple imputations (n=500) were used for missing values under a missing-at-random assumption. An imputation model (linear regression) is estimated separately for each treatment group including baseline value as a covariate and fitted to participants having an observed data point at year 2 and year 3, respectively. Results were combined using the Rubin rule. Missing data were defined as data planned to be collected according to protocol but are not present in the database. Hence, data that are absent in the database because of death or administrative censoring were not considered missing and hence not imputed. Interaction P values were derived from an F test of equality between the treatment differences across the SGLT2i use. Log transformation was applied before analysis for parameters specified in the statistical analysis plan, and treatment differences were expressed as a treatment mean ratio.
No adjustment for multiplicity or alpha protection was performed for these prespecified SGLT2i-related analyses. Two-sided P values <0.05 were considered significant. All statistical analyses were performed with SAS software, version 9.4 (SAS Institute, Cary, NC). Novo Nordisk A/S (Copenhagen, Denmark) maintained the clinical database and performed the statistical analyses.
RESULTS
Baseline Characteristics
Between June 2019 and March 2021, a total of 9650 individuals were randomized (4825 per arm), of whom 2596 (26.9%) participants were receiving SGLT2i at baseline (1296 in the oral semaglutide and 1300 in the placebo group). The mean follow-up was 47.5±10.9 months, and 9495 (98.4%) participants completed the trial (attended the follow-up visit or died). Vital status was available for 99.5% of participants. Baseline characteristics according to SGLT2i use at study entry are shown in Table 1 and for participants receiving oral semaglutide versus placebo according to SGLT2i use at baseline in Table S1. Participants receiving SGLT2i at baseline were younger, were less frequently women, and had a lower systolic and diastolic blood pressure, a higher estimated glomerular filtration rate, and lower high-sensitivity CRP. In addition, they more often had a history of coronary artery disease, but less often previous stroke, heart failure, or peripheral artery disease. Concomitant use of beta-blockers (68.9% versus 62.6%), statins (91.2% versus 84.3%), and platelet aggregation inhibitors (81.2% versus 75.7%) was slightly higher in those using SGLT2i at baseline, whereas the use of diuretics (38.8% versus 43.3%) was less in this group. ACE (angiotensin-converting enzyme) inhibitor/angiotensin receptor blocker use (80.8% versus 78.3%) and insulin use (49.3% versus 51.1%) were comparable between participants with or without SGLT2i use at baseline. The flowchart in Figure S1 depicts the disposition of SGLT2i at baseline and during the trial. The time pattern of discontinuation of SGLT2i at any time during the trial among participants who were receiving SGLT2i at baseline is shown in Figure S2A from randomization to month 54. The time pattern of initiation of SGLT2i from randomization to month 54 after randomization among participants who were not using SGLT2i at baseline is depicted in Figure S2B. Any SGLT2i use, at baseline or initiation during the trial, is shown in Figure S2C. During the trial, SGLT2i use (either at baseline or initiated during the trial) was 44.9% of participants randomized to oral semaglutide and 52.8% of participants randomized to placebo.
Table 1.
Baseline Characteristics According to SGLT2i Use at Baseline

Among those not using SGLT2i at baseline, the proportions of participants who initiated SGLT2i during the trial were 24.7% and 35.5% of those randomized to oral semaglutide and placebo, respectively, with a hazard ratio (HR) of 0.63 (95% CI, 0.58–0.68; Figure S3). Among those on SGLT2i at baseline, 24.5% in the oral semaglutide and 20.5% in the placebo groups discontinued SGLT2i during the trial with an HR of 1.23 (95% CI, 1.04–1.45; Figure S4).
Outcomes of Oral Semaglutide Versus Placebo by Baseline SGLT2i Use
Primary Outcome and All-Cause Death
MACE outcomes by randomized treatment for subgroups with or without SGLT2i use at baseline are shown in Figure 1. In the subgroup of participants with SGLT2i at baseline, there were 143 of 1296 (11.0%) MACE events in the oral semaglutide group versus 158 of 1300 (12.2%) in the placebo group (HR, 0.89; 95% CI, 0.71–1.11). In the subgroup without SGLT2i at baseline, there were 436 of 3529 (12.4%) primary outcomes with semaglutide versus 510 of 3525 (14.5%) in participants with placebo (HR, 0.84; 95% CI, 0.74–0.95; P-interaction, 0.66; Figure 1A). The incidence rates for first MACE were 2.84 versus 3.20 per 100 patient-years of observation for oral semaglutide versus placebo with SGLT2i use at baseline. The corresponding incidence rates without SGLT2i at baseline were 3.22 versus 3.84 per 100 patient-years. Similarly, no significant interaction between the subgroups with or without baseline SGLT2i use was observed for the single components of the composite primary outcome or on all-cause death (Figure 1B through 1E).
Figure 1.
Cumulative incidence plots of outcomes for oral semaglutide vs placebo in subgroups with or without SGLT2i use at baseline. A, Time to first occurrence of MACE. B, Time to cardiovascular death. C, Time to first nonfatal myocardial infarction event. D, Time to first nonfatal stroke event. E, Time to all-cause death. The cumulative incidence rate is calculated using the Aalen-Johansen method with noncardiovascular death (A and B)/all-cause death (C and D) as a competing risk. CV indicates cardiovascular; HR, hazard ratio; MACE, major adverse cardiovascular event; MI, myocardial infarction; and SGLT2i, sodium-glucose cotransporter-2 inhibitor
The effect of oral semaglutide versus placebo for the components of the primary outcomes and all-cause death by SGLT2i use at baseline is shown in Figure 2. Forest plots showing HRs for the primary outcome and components for subgroups with previous ASCVD, CKD, and ASCVD and CKD according to SGLT2i use at baseline are shown in Figure 3.
Figure 2.
Forest plot: primary outcomes, components and all-cause death according to SGLT2i use at baseline. Data from the in-trial period. Time from randomization to relevant end point was analyzed using a Cox proportional hazards model with treatment as categorical fixed factor. Participants without events of interest were censored at the end of their in-trial period. For the subgroup analyses, estimated HRs and corresponding CIs are calculated in a Cox proportional hazards model with interaction between treatment group and subgroup as fixed factor. P-value, P value for the test of no interaction effect. CV indicates cardiovascular; HR, hazard ratio; MACE, major adverse cardiovascular event; MI, myocardial infarction; and SGLT2i, sodium-glucose cotransporter-2 inhibitor.
Figure 3.
Forest plot: cardiovascular outcomes according to SGLT2i use at baseline, by cardiovascular and kidney subgroups. A, ASCVD. B, CKD. C, ASCVD and CKD. Each plot shows data from the in-trial period. Time from randomization to relevant end point was analyzed using a Cox proportional hazards model with treatment as a fixed factor. Participants without events of interest were censored at the end of their in-trial period. For the subgroup analyses, estimated HRs and corresponding CIs are calculated in a Cox proportional hazards model with interaction between treatment group and subgroup as fixed factor. P-value, P value for the test of no interaction effect. ASCVD indicates atherosclerotic cardiovascular disease; CKD, chronic kidney disease; CV, cardiovascular; HR, hazard ratio; MACE, major adverse cardiovascular event; MI, myocardial infarction; and SGLT2i, sodium-glucose cotransporter-2 inhibitor.
Secondary Efficacy Outcomes and Safety
The reduction in HbA1c from baseline to week 104 was significantly greater with oral semaglutide versus placebo, with a decrease of −0.66% versus −0.13% for participants using SGLT2 inhibitors at baseline, and −0.73% versus −0.16% for those not using SGLT2i (P-interaction, 0.44). Body mass index also decreased more with semaglutide compared with placebo, with reductions of −1.5 kg/m² versus −0.4 kg/m² that were similar regardless of SGLT2i use at baseline (P-interaction, 0.86). Data on changes from baseline in clinical and laboratory parameters at 104 weeks, including high-sensitivity CRP, according to baseline SGLT2i use are shown in Table 2. Data on changes in these parameters at 156 weeks are shown in Table S2.
Table 2.
Changes From Baseline to Week 104 in Clinical and Laboratory Parameters, According to SGLT2i Use at Baseline
Serious adverse events in the subgroup with SGLT2i use at baseline were reported in 48.3% versus 48.6% participants receiving oral semaglutide versus placebo, and 47.8% versus 50.9%, respectively, in the subgroup without SGLT2i use at baseline, suggesting that the adverse event profiles of oral semaglutide with or without an SGLT2i were similar. In particular, there were no differences in the incidence of severe hypoglycemia (with SGLT2i at baseline, 5.9% versus 6.5%; no SGLT2i at baseline, 2.2% versus 2.4%) or ketoacidosis (with SGLT2i at baseline, 0.6% versus 0.5%; no SGLT2i at baseline, 0.2% versus 0.2%) in participants treated with oral semaglutide versus placebo. Overviews of safety findings by system organ classes and preferred terms are shown in Table S3.
Initiation of SGLT2i During the Trial
In analyses of the primary outcome among participants who reported SGLT2i use at baseline or initiated SGLT2i during the study (n=2168 for oral semaglutide and n=2550 for placebo), there were 250 MACE events (11.5%) in the semaglutide group and 326 MACE events (12.8%) in the placebo group, generating an HR of 0.89 (95% CI, 0.76–1.05; Table S4A). For participants who did not use SGLT2i at baseline or during the study (n=2657 for semaglutide and n=2275 for placebo), the corresponding numbers were 329 (12.4%) for semaglutide and 342 (15.0%) for placebo with an HR of 0.79 (95% CI, 0.68–0.92; P-interaction, 0.31; Table S4B). Cumulative incidence rate data on time to first MACE by any SGLT2i use are shown in Figure S5.
When SGLT2i use during the study was treated as a time-dependent covariable in a Cox regression analysis, the HR for the primary outcome was 0.84 (95% CI, 0.75–0.94) (Table S5). In addition, using a time-dependent Cox regression analysis with SGLT2i use categorized by randomized treatment as a fixed factor yielded HRs for the primary outcome of 0.87 (95% CI, 0.71–1.06) for those using SGLT2i during the study (either from baseline or initiated during the study) and 0.83 (95% CI, 0.73–0.95) for those who never used SGLT2i throughout the study (Table S6).
Results from the weighted time-dependent Cox regression analyses of data for the in-trial period for time from randomization to the first MACE are shown in Table S7. The HR for the primary outcome was 0.82 (95% CI, 0.73–0.93). Using a weighted time-dependent Cox regression with randomized treatment, SGLT2i use during the study, and the interaction of randomized treatment by SGLT2i use during the study as categorical fixed factors, the HR for the primary outcome was 0.86 (95% CI, 0.70–1.06) for those with any SGLT2i use during the study and 0.81 (95% CI, 0.70–0.93) for those with no SGLT2i use. The interaction P value was 0.64 (Table S8).
DISCUSSION
In these prespecified analyses of the SOUL trial, the beneficial effects of oral semaglutide on cardiovascular outcomes in people with T2D and ASCVD and/or CKD were independent of concomitant SGLT2i use. SOUL, involving nearly 10 000 participants over a mean of 4 years, demonstrated a significant 14% reduction in MACE in the semaglutide group versus placebo with each of the 3 components of the primary outcome contributing to the risk reduction.22 The benefits of oral semaglutide on MACE events did not differ between those treated with or without an SGLT2i at baseline.
Furthermore, no significant difference was observed in the individual components of the primary outcome, and the effects of semaglutide on HbA1c, blood pressure, body mass index, estimated glomerular filtration rate, and high-sensitivity CRP were independent of concurrent SGLT2i use. With the highest proportion of SGLT2i use at baseline (26.9%) in any GLP-1 RA CVOT, and concomitant use of both drugs rising to almost 50% by the end of the trial, our results provide important information on the independence of semaglutide cardiovascular efficacy and safety with or without concomitant SGLT2i use in a high-risk population with T2D.
Even with imbalanced drop-in rates of SGLT2i use during the trial (24.7% in those on oral semaglutide versus 35.5% of those on placebo), the overall benefit of oral semaglutide on MACE was confirmed. In addition, analyses aiming to adjust for the SGLT2i imbalance between groups during the trial suggest no evidence of heterogeneity in the effects of oral semaglutide on MACE. Numerous trials have consistently shown that GLP-1 RA and SGLT2i, individually, provide significant benefits for cardiovascular outcomes in participants with T2D and high cardiovascular risk and/or CKD.1–11 While the 2 classes of medications exert complementary and independent effects in the management of hyperglycemia in T2D, there is currently limited evidence from clinical trials on the combined use of GLP-1 RA and SGLT2i on cardiovascular outcomes. So far, data of combination therapy with SGLT2i and GLP-1 RA on cardiovascular outcomes primarily stem from subgroup analyses of CVOTs involving GLP-1 RA, as well as results from meta-analyses of these data, each suggesting consistent benefits regardless of the concomitant use of SGLT2i.17–20 However, it is important to note that the proportion of participants taking SGLT2i at baseline in previously completed GLP-1 RA trials ranged from only 6.1% to 15.6%.17–19 In contrast, in SOUL, 26.9% of participants reported SGLT2i treatment at baseline, providing data on a total of 2596 participants. Moreover, results from analyses of the larger subgroup of participants with any (n=4718; 49%) versus never (n=4932; 51%) use of SGLT2i during the trial also suggest no evidence of heterogeneity in the effects of oral semaglutide on MACE. Beyond the outcome data, the large number of participants on concomitant treatment with GLP-1 RA and SGLT2i provides important safety data with no significant differences in serious adverse events in participants with and without SGLT2i use.
The present analysis has certain limitations. First, although these analyses were prespecified in the statistical analysis plan, the SOUL trial was not powered to assess treatment effects for cardiovascular outcomes related to SGLT2i use. Dedicated studies are warranted to assess and quantify in detail the incremental benefit of the combined use of GLP-1 RA and SGLT2i in T2D and cardiovascular disease/CKD. Second, baseline SGLT2i use was not stratified and may reflect differences in participant characteristics, as denoted in Table 1. Indeed, participants taking SGLT2i at baseline tended to be younger with a higher proportion of previous coronary artery disease and a more extensive concomitant cardiovascular medication use with agents such as β blockers and statins. Unsurprisingly, the new initiation of SGLT2i use also differed between participants in the 2 randomized groups, with a higher proportion of participants who were receiving placebo initiating SGLT2i during the trial compared with those on oral semaglutide. Moreover, more participants on baseline SGLT2i in the oral semaglutide group stopped SGLT2i treatment during the trial compared with the placebo group. It is important to note that SGLT2i initiation (or discontinuation) during the trial was neither stratified nor controlled and may point to differences in on-trial glycemic control or other aspects of disease progression, or potential protopathic bias.27 Therefore, the findings of time-dependent regression analyses of the associations between SGLT2i use and the primary cardiovascular efficacy outcome during the trial must be interpreted with great caution, as the clinical decision to initiate on SGLT2i in-trial is very likely to be influenced by many evolving participant factors. Despite these limitations, the findings that the effects of oral semaglutide on cardiovascular outcomes were comparable in those with or without baseline or incident SGLT2i are noteworthy, because SOUL is now the GLP-1 RA trial with the highest penetrance of overall concurrent SGLT2i use, and this question remains an important one in clinical practice.
The demonstration of consistent effects of semaglutide on cardiovascular outcomes independent of its formulation (injectable or oral) provides important guidance for practicing clinicians treating people with T2D and ASCVD and/or CKD.2,6,22 First, people with T2D and ASCVD and/or CKD may expect equivalent cardiovascular benefits from oral semaglutide regardless of background SGLT2i therapy. Results from various clinical trials have shown that SGLT2i provide pronounced cardiovascular benefits in people with T2D and pre-existing ASCVD and/or CKD,8,9,13 a population at very high risk for MACE. Results from the present analyses suggest that the addition of oral semaglutide for people in these subgroups already on an SGLT2i leads to a further reduction of MACE, thus underscoring current guideline recommendation for the concurrent use of both agents in people with T2D and ASCVD.14,28 Second, the present results from a cohort with a mean follow-up of nearly 4 years suggest that GLP-1 RA and SGLT2i can safely be used together. Last, the SOUL trial explored the oral administration of semaglutide, which may be particularly appealing to many people compared with subcutaneous injections. Overall, our data may provide clinicians further confidence to combine an oral regimen of GLP-1 RA and SGLT2i with the aim of reducing cardiovascular events in patients at high cardiovascular risk.
In conclusion, results from these prespecified analyses on the largest data set of combined use of GLP-1 RA and SGLT2i in a single CVOT to date suggest that oral semaglutide reduces MACE outcomes in T2D and ASCVD and/or CKD consistently in participants with and without concomitant SGLT2i use and that the combination of both agents appears to be safe.
ARTICLE INFORMATION
Acknowledgments
Medical writing support for the development of this article, under the direction of the authors, was provided by Ian C. Grieve, PhD, and editorial support was provided by Beverly La Ferla, MRes, both of Ashfield MedComms, an Inizio Medical company. Medical writing and editorial support were funded by Novo Nordisk A/S and was provided in accordance with Good Publication Practice guidelines. N.M. designed the study, researched data, contributed to the discussion, and wrote the article. S.R. undertook the statistical analyses, contributed to the discussion, and reviewed and edited the article. N.M. and S.R. directly accessed and verified the study data. J.E.D., J.F.E.M., K.B.T., J.B.B., Z.D.-E., S.S.E., M.D.M.E., G.K.H., S.E.I., S.L.M., R.P.-B., N.R.P., and D.K.M. designed the study, researched data, and reviewed and edited the article. R.A., S.C.B., H.S.B., A.L.B., C.D., P.S.J., and S.-T.T. recruited patients, contributed to the discussion, and reviewed and edited the article. All authors approved submission of the final version of the article and had access to the data. N.M. is the guarantor and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Sources of Funding
The SOUL trial was funded by Novo Nordisk A/S. The funder of the study was responsible, along with an academic steering committee, for the study design; contributed to data collection, data analysis, and data interpretation; and participated in the review of the article in collaboration with the authors.
Disclosures
Dr Marx is supported by the Deutsche Forschungsgemeinschaft (German Research Foundation; TRR 219; project ID, 322900939 [M03, M05]); has given lectures for Bayer, Boehringer Ingelheim, Sanofi-Aventis, MSD, BMS, AstraZeneca, Lilly, and Novo Nordisk; has received unrestricted research grants from Boehringer Ingelheim; and has served as an advisor for Bayer, Boehringer Ingelheim, Sanofi-Aventis, MSD, BMS, AstraZeneca, and Novo Nordisk. In addition, Dr Marx served in trial leadership for Boehringer Ingelheim and Novo Nordisk. Dr Marx declines all personal compensation from pharma or device companies. Dr Deanfield reports grants or contracts from 2022 to 2025 from Alzheimer’s Research UK and from 2019 to 2022 from the British Heart Foundation. He received consulting fees/honoraria from Amgen, AstraZeneca, Boehringer Ingelheim, Merck, Pfizer, Aegerion, Novartis, Sanofi, Takeda, Novo Nordisk, and Bayer. Dr Mann reports grants from Novo Nordisk, the European Union, and McMaster University, Hamilton, Canada; consulting fees from Novo Nordisk, AstraZeneca, Bayer, and Boehringer Ingelheim; and honoraria from Novo Nordisk, AstraZeneca, Bayer, and Novartis; and has participated on a data safety monitoring board or advisory board for AstraZeneca, Bayer, Sanofi, and Boehringer Ingelheim. He is an author for UpToDate and has a leadership role in the KDIGO group. Dr Arechavaleta has given lectures for Novo Nordisk, Eli Lilly, AstraZeneca, Boehringer Ingelheim, and Sanofi. She has received advisory board fees and honoraria for clinical trials from Novo Nordisk and Eli Lilly. Dr Bain reports grants and honoraria from AstraZeneca, Boehringer Ingelheim, Eli Lilly, Menarini, and Novo Nordisk. He has provided expert advice to the All-Wales Medicines Strategy Group and the National Institute for Health and Care Excellence (United Kingdom). Dr Bajaj reports trial fees paid to his institution by Abbott, Amgen, Anji Pharmaceuticals, Arrowhead Pharmaceuticals, AstraZeneca, Biomea, Boehringer Ingelheim, Eli Lilly, GlaxoSmithKline, Ionis Pharmaceuticals, Kowa Pharmaceuticals, Novartis, Novo Nordisk, and Pfizer. Dr Tanggaard is an employee at Novo Nordisk. Dr Birkenfeld is supported by the Deutsche Forschungsgemeinschaft (German Research Foundation; GRK2816; BI1292/12-1; 10-1; 9-1) and the German Federal Ministry for Education and Research (01GI0925) through the German Center for Diabetes Research (DZD e.V.). Dr Birkenfeld has given lectures for Novo Nordisk and Daiichi Sankyo, has received unrestricted research grants from Boehringer Ingelheim and AstraZeneca, and has served as an advisor for Bayer and Novo Nordisk. In addition, Dr Birkenfeld served in trial leadership for Boehringer Ingelheim, Novo Nordisk, and Eli Lilly. Dr Birkenfeld declines all personal compensation from pharma or device companies. Dr Buse reports research support from Corcept, Dexcom, and Novo Nordisk; consulting fees from Altimmune, Antag, Amgen, ApStem, Aqua Medical, AstraZeneca, Boehringer Ingelheim, CeQur, Corcept Therapeutics, Dexcom, Eli Lilly, embecta, GentiBio, Glyscend, Insulet, Medtronic MiniMed, Mellitus Health, Metsera, Novo Nordisk, Pendulum Therapeutics, Praetego, Stability Health, Tandem, Terns Inc, Vertex, and Zealand; and stock options from Glyscend, Mellitus Health, Metsera, Pendulum Therapeutics, Praetego, and Stability Health. Dr Davicevic-Elez is an employee of and holds shares in Novo Nordisk. Dr Desouza reports Novo Nordisk research grants (payments to institution) and has personally received consulting fees from Eli Lilly and consulting fees and support for attending meetings or travel from Novo Nordisk. Dr Emerson declares consulting fees from Novo Nordisk for steering committee participation and from Boehringer Ingelheim for consulting regarding veterinary congestive heart failure; received support for attending meetings or travel from Novo Nordisk for attendance at steering committee and scientific meetings; and declares participation on an advisory board for Novo Nordisk, AstraZeneca, Daiichi Sankyo, Vertex, Roche, GlaxoSmithKline, Lilly, Novartis, Bristol Myers, and Sanofi. Dr Engelmann is a full-time employee of Novo Nordisk and has stocks in the company. Dr Hovingh has received funding from the Klinkerpadfonds, paid to his former academic institute (Amsterdam UMC, The Netherlands). He is also an employee and shareholder of Novo Nordisk. Dr Inzucchi has served as a consultant or on advisory boards for Novo Nordisk, AstraZeneca, Boehringer Ingelheim, Merck, Pfizer, and Bayer. He has given lectures sponsored by AstraZeneca and Boehringer Ingelheim/Lilly. He declares royalties from McGraw Hill and Wolters Kluwer Health and support for attending meetings or travel from Novo Nordisk, AstraZeneca, Boehringer Ingelheim/Lilly, and Bayer. Dr Jhund reports speaker fees from AstraZeneca, Novartis, and ProAdWise Communications; advisory board fees from AstraZeneca; research funding from AstraZeneca, Boehringer Ingelheim, Analog Devices Inc, and Roche Diagnostics. Dr Jhund reports other financial interests, including as Director of GCTP Ltd. His employer, the University of Glasgow, has been remunerated for his time working on clinical trials by AstraZeneca, Novartis, Novo Nordisk, and Bayer AG. Dr Mulvagh has served as a consultant or on advisory boards for Novo Nordisk and Merck. Dr Pop-Busui received research grant support to her institutions from NIDDK, Breakthrough T1D (formerly JDRF), Bayer, Lexicon Pharmaceuticals, and Novo Nordisk, and consulting fees from Averitas Pharma, Biogen, Lexicon Pharmaceuticals, Nevro Inc, Novo Nordisk, and Roche Diagnostic; received support for attending meetings or travel from Roche; participated on an advisory board for Biogen/Reata; and is a member of the board of directors of the American Diabetes Association. Dr Poulter received financial support from several pharmaceutical companies that manufacture blood pressure–lowering, lipid-lowering, and glucose-lowering agents for consultancy fees, research projects, and staff and for arranging and speaking at educational meetings including Servier, Pfizer, AstraZeneca, Amgen, Sanofi, and Novo Nordisk. He holds no stocks or shares in any such companies. Dr Rasmussen is an employee and shareholder in Novo Nordisk. Dr Tu has given lectures for Novo Nordisk, Eli Lilly, AstraZeneca, Boehringer Ingelheim, and Sanofi; received advisory board fees from Novo Nordisk and Eli Lilly; and received honoraria for clinical trials from Novo Nordisk, Eli Lilly, and Boehringer Ingelheim. Dr
McGuire has received consulting fees from Novo Nordisk, AstraZeneca, Pfizer, Altimmune, Ventyx Pharmaceuticals, Bayer, Lexicon, Applied Therapeutics, Intercept Pharmaceuticals, Esperion, Lilly USA, Boehringer Ingelheim, New Amsterdam, CSL Behring, Amgen, Neurotronics, Metsera, Kailera, and Alveus Pharma.
Supplemental Material
Figures S1–S5
Tables S1–S8
Nonstandard Abbreviations and Acronyms
- ACE
- angiotensin-converting enzyme
- ASCVD
- atherosclerotic cardiovascular disease
- CAD
- coronary artery disease
- CKD
- chronic kidney disease
- CRP
- C-reactive protein
- CVOT
- cardiovascular outcomes trial
- GLP-1 RA
- glucagon-like peptide-1 receptor agonist
- HbA1c
- glycated hemoglobin
- HR
- hazard ratio
- LDL
- low-density lipoprotein
- MACE
- major adverse cardiovascular event
- SGLT2i
- sodium-glucose cotransporter-2 inhibitor
- SOUL
- Semaglutide Cardiovascular Outcomes Trial
- T2D
- type 2 diabetes
This manuscript was sent to Jennifer Green, Guest Editor, for review by expert referees, editorial decision, and final disposition.
Supplemental Material, the podcast, and transcript are available with this article at https://www.ahajournals.org/doi/suppl/10.1161/CIRCULATIONAHA.125.074545.
Continuing medical education (CME) credit is available for this article. Go to http://cme.ahajournals.org to take the quiz.
This work was presented as an abstract at an American College of Cardiology Scientific Sessions, Chicago, IL, March 29–31, 2025.
For Sources of Funding and Disclosures, see page 1648.
Circulation is available at www.ahajournals.org/journal/circ .
Contributor Information
John E. Deanfield, Email: john.e.deanfield@gmail.com.
Johannes F.E. Mann, Email: prof.j.mann@gmail.com.
Rosario Arechavaleta, Email: r_arechavaletag@yahoo.com.mx.
Stephen C. Bain, Email: S.C.Bain@swansea.ac.uk.
Harpreet S. Bajaj, Email: harpreet.bajaj@lmc.ca.
Katrine Bayer Tanggaard, Email: KBTD@novonordisk.com.
Andreas L. Birkenfeld, Email: andreas.birkenfeld@med.uni-tuebingen.de.
John B. Buse, Email: john_buse@med.unc.edu.
Zaklina Davicevic-Elez, Email: ZKDE@novonordisk.com.
Cyrus Desouza, Email: cdesouza@unmc.edu.
Scott S. Emerson, Email: ssemerson@proton.me.
Mads D.M. Engelmann, Email: MDDE@novonordisk.com.
G. Kees Hovingh, Email: GEKH@novonordisk.com.
Silvio E. Inzucchi, Email: silvio.inzucchi@yale.edu.
Pardeep S. Jhund, Email: pardeep.jhund@glasgow.ac.uk.
Neil R. Poulter, Email: n.poulter@imperial.ac.uk.
Søren Rasmussen, Email: srrm@novonordisk.com.
Darren K. McGuire, Email: darren.mcguire@utsouthwestern.edu.
REFERENCES
- 1.Marso SP, Daniels GH, Brown-Frandsen K, Kristensen P, Mann JF, Nauck MA, Nissen SE, Pocock S, Poulter NR, Ravn LS, et al. ; LEADER Steering Committee. Liraglutide and cardiovascular outcomes in type 2 diabetes. N Engl J Med. 2016;375:311–322. doi: 10.1056/NEJMoa1603827 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Marso SP, Bain SC, Consoli A, Eliaschewitz FG, Jódar E, Leiter LA, Lingvay I, Rosenstock J, Seufert J, Warren ML, et al. ; SUSTAIN-6 Investigators. Semaglutide and cardiovascular outcomes in patients with type 2 diabetes. N Engl J Med. 2016;375:1834–1844. doi: 10.1056/NEJMoa1607141 [DOI] [PubMed] [Google Scholar]
- 3.Hernandez AF, Green JB, Janmohamed S, D’Agostino RB, Sr, Granger CB, Jones NP, Leiter LA, Rosenberg AE, Sigmon KN, Somerville MC, et al. ; Harmony Outcomes committees and investigators. Albiglutide and cardiovascular outcomes in patients with type 2 diabetes and cardiovascular disease (Harmony Outcomes): a double-blind, randomised placebo-controlled trial. Lancet. 2018;392:1519–1529. doi: 10.1016/S0140-6736(18)32261-X [DOI] [PubMed] [Google Scholar]
- 4.Gerstein HC, Colhoun HM, Dagenais GR, Diaz R, Lakshmanan M, Pais P, Probstfield J, Riesmeyer JS, Riddle MC, Rydén L, et al. ; REWIND Investigators. Dulaglutide and cardiovascular outcomes in type 2 diabetes (REWIND): a double-blind, randomised placebo-controlled trial. Lancet. 2019;394:121–130. doi: 10.1016/S0140-6736(19)31149-3 [DOI] [PubMed] [Google Scholar]
- 5.Gerstein HC, Sattar N, Rosenstock J, Ramasundarahettige C, Pratley R, Lopes RD, Lam CSP, Khurmi NS, Heenan L, Del Prato S, et al. Cardiovascular and renal outcomes with efpeglenatide in type 2 diabetes. N Engl J Med. 2021;385:896–907. doi: 10.1056/NEJMoa2108269 [DOI] [PubMed] [Google Scholar]
- 6.Perkovic V, Tuttle KR, Rossing P, Mahaffey KW, Mann JFE, Bakris G, Baeres FMM, Idorn T, Bosch-Traberg H, Lausvig NL, et al. ; FLOW Trial Committees and Investigators. Effects of semaglutide on chronic kidney disease in patients with type 2 diabetes. N Engl J Med. 2024;391:109–121. doi: 10.1056/NEJMoa2403347 [DOI] [PubMed] [Google Scholar]
- 7.Zinman B, Wanner C, Lachin JM, Fitchett D, Bluhmki E, Hantel S, Mattheus M, Devins T, Johansen OE, Woerle HJ, et al. ; EMPA-REG OUTCOME Investigators. Empagliflozin, cardiovascular outcomes, and mortality in type 2 diabetes. N Engl J Med. 2015;373:2117–2128. doi: 10.1056/NEJMoa1504720 [DOI] [PubMed] [Google Scholar]
- 8.Neal B, Perkovic V, Mahaffey KW, de Zeeuw D, Fulcher G, Erondu N, Shaw W, Law G, Desai M, Matthews DR; CANVAS Program Collaborative Group. Canagliflozin and cardiovascular and renal events in type 2 diabetes. N Engl J Med. 2017;377:644–657. doi: 10.1056/NEJMoa1611925 [DOI] [PubMed] [Google Scholar]
- 9.Mahaffey KW, Jardine MJ, Bompoint S, Cannon CP, Neal B, Heerspink HJL, Charytan DM, Edwards R, Agarwal R, Bakris G, et al. Canagliflozin and cardiovascular and renal outcomes in type 2 diabetes mellitus and chronic kidney disease in primary and secondary cardiovascular prevention groups. Circulation. 2019;140:739–750. doi: 10.1161/CIRCULATIONAHA.119.042007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Wiviott SD, Raz I, Bonaca MP, Mosenzon O, Kato ET, Cahn A, Silverman MG, Zelniker TA, Kuder JF, Murphy SA, et al. ; DECLARE–TIMI 58 Investigators. Dapagliflozin and cardiovascular outcomes in type 2 diabetes. N Engl J Med. 2019;380:347–357. doi: 10.1056/NEJMoa1812389 [DOI] [PubMed] [Google Scholar]
- 11.Herrington WG, Staplin N, Wanner C, Green JB, Hauske SJ, Emberson JR, Preiss D, Judge P, Mayne KJ, Ng SYA, et al. ; The EMPA-KIDNEY Collaborative Group. Empagliflozin in patients with chronic kidney disease. N Engl J Med. 2023;388:117–127. doi: 10.1056/NEJMoa2204233 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Sattar N, Lee MMY, Kristensen SL, Branch KRH, Del Prato S, Khurmi NS, Lam CSP, Lopes RD, McMurray JJV, Pratley RE, et al. Cardiovascular, mortality, and kidney outcomes with GLP-1 receptor agonists in patients with type 2 diabetes: a systematic review and meta-analysis of randomised trials. Lancet Diabetes Endocrinol. 2021;9:653–662. doi: 10.1016/S2213-8587(21)00203-5 [DOI] [PubMed] [Google Scholar]
- 13.McGuire DK, Shih WJ, Cosentino F, Charbonnel B, Cherney DZI, Dagogo-Jack S, Pratley R, Greenberg M, Wang S, Huyck S, et al. Association of SGLT2 inhibitors with cardiovascular and kidney outcomes in patients with type 2 diabetes: a meta-analysis. JAMA Cardiol. 2021;6:148–158. doi: 10.1001/jamacardio.2020.4511 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Marx N, Federici M, Schütt K, Müller-Wieland D, Ajjan RA, Antunes MJ, Christodorescu RM, Crawford C, Di Angelantonio E, Eliasson B, et al. 2023 ESC guidelines for the management of cardiovascular disease in patients with diabetes. Eur Heart J. 2023;44:4043–4140. doi: 10.1093/eurheartj/ehad192 [DOI] [PubMed] [Google Scholar]
- 15.American Diabetes Association Professional Practice Committee. 10. Cardiovascular disease and risk management: standards of care in diabetes-2024. Diabetes Care. 2024;47:S179–S218. doi: 10.2337/dc24-S010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Gourdy P, Darmon P, Dievart F, Halimi JM, Guerci B. Combining glucagon-like peptide-1 receptor agonists (GLP-1RAs) and sodium-glucose cotransporter-2 inhibitors (SGLT2is) in patients with type 2 diabetes mellitus (T2DM). Cardiovasc Diabetol. 2023;22:79. doi: 10.1186/s12933-023-01798-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Lam CSP, Ramasundarahettige C, Branch KRH, Sattar N, Rosenstock J, Pratley R, Del Prato S, Lopes RD, Niemoeller E, Khurmi NS, et al. Efpeglenatide and clinical outcomes with and without concomitant sodium-glucose cotransporter-2 inhibition use in type 2 diabetes: exploratory analysis of the AMPLITUDE-O trial. Circulation. 2022;145:565–574. doi: 10.1161/CIRCULATIONAHA.121.057934 [DOI] [PubMed] [Google Scholar]
- 18.Neves JS, Borges-Canha M, Vasques-Nóvoa F, Green JB, Leiter LA, Granger CB, Carvalho D, Leite-Moreira A, Hernandez AF, Del Prato S, et al. GLP-1 receptor agonist therapy with and without SGLT2 inhibitors in patients with type 2 diabetes. J Am Coll Cardiol. 2023;82:517–525. doi: 10.1016/j.jacc.2023.05.048 [DOI] [PubMed] [Google Scholar]
- 19.Mann JFE, Rossing P, Bakris G, Belmar N, Bosch-Traberg H, Busch R, Charytan DM, Hadjadj S, Gillard P, Górriz JL, et al. Effects of semaglutide with and without concomitant SGLT2 inhibitor use in participants with type 2 diabetes and chronic kidney disease in the FLOW trial. Nat Med. 2024;30:2849–2856. doi: 10.1038/s41591-024-03133-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Neuen BL, Fletcher RA, Heath L, Perkovic A, Vaduganathan M, Badve SV, Tuttle KR, Pratley R, Gerstein HC, Perkovic V, et al. Cardiovascular, kidney, and safety outcomes with GLP-1 receptor agonists alone and in combination with SGLT2 inhibitors in type 2 diabetes: a systematic review and meta-analysis. Circulation. 2024;150:1781–1790. doi: 10.1161/CIRCULATIONAHA.124.071689 [DOI] [PubMed] [Google Scholar]
- 21.McGuire DK, Busui RP, Deanfield J, Inzucchi SE, Mann JFE, Marx N, Mulvagh SL, Poulter N, Engelmann MDM, Hovingh GK, et al. Effects of oral semaglutide on cardiovascular outcomes in individuals with type 2 diabetes and established atherosclerotic cardiovascular disease and/or chronic kidney disease: design and baseline characteristics of SOUL, a randomized trial. Diabetes Obes Metab. 2023;25:1932–1941. doi: 10.1111/dom.15058 [DOI] [PubMed] [Google Scholar]
- 22.McGuire DK Marx N Mulvagh SL Deanfield JE Inzucchi SE Pop-Busui R Mann JFE Emerson SS Poulter NR Engelmann MDM et al. ; for the SOUL Study Group . Oral semaglutide and cardiovascular outcomes in high-risk type 2 diabetes [published online March 29, 2025]. N Engl J Med. 2025; doi: 10.1056/NEJMoa2501006. https://www.nejm.org/doi/10.1056/NEJMoa2501006 [Google Scholar]
- 23.American Diabetes Association Professional Practice Committee. 2. Classification and diagnosis of diabetes: standards of medical care in diabetes-2022. Diabetes Care. 2022;45:S17–s38. doi: 10.2337/dc22-S002 [DOI] [PubMed] [Google Scholar]
- 24.Robins JM, Hernán MA, Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology. 2000;11:550–560. doi: 10.1097/00001648-200009000-00011 [DOI] [PubMed] [Google Scholar]
- 25.Chesnaye NC, Stel VS, Tripepi G, Dekker FW, Fu EL, Zoccali C, Jager KJ. An introduction to inverse probability of treatment weighting in observational research. Clin Kidney J. 2022;15:14–20. doi: 10.1093/ckj/sfab158 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Zhang M, Tsiatis AA, Davidian M, Pieper KS, Mahaffey KW. Inference on treatment effects from a randomized clinical trial in the presence of premature treatment discontinuation: the SYNERGY trial. Biostatistics. 2011;12:258–269. doi: 10.1093/biostatistics/kxq054 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Faillie JL. Indication bias or protopathic bias? Br J Clin Pharmacol. 2015;80:779–780. doi: 10.1111/bcp.12705 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.American Diabetes Association Professional Practice Committee. 10. Cardiovascular disease and risk management: standards of care in diabetes-2025. Diabetes Care. 2025;48:S207–s238. doi: 10.2337/dc25-S010 [DOI] [PMC free article] [PubMed] [Google Scholar]




