Finding no head-to-head research evaluating the cardiovascular and renal benefits of sodium–glucose cotransporter 2 inhibitors (SGLT-2i) and glucagon-like peptide 1 receptor agonists (GLP-1RA) in patients with type 2 diabetes (T2D) at different baseline renal function, we performed a network meta-analysis to compare the two drugs indirectly. Systematic literature searches were conducted of the PubMed, Cochrane Library, Web of Science, and Embase databases, covering their inception until 7 January 2025. Randomized controlled trials (RCTs) comparing the effects of SGLT-2i and GLP-1RA in T2D with different glomerular filtration rates (eGFRs) were selected. Results were reported as risk ratios (RRs) with corresponding 95% CIs. Finally, 10 RCTs involving 87,334 patients with T2D were included. In patients with an eGFR >90 mL/min/1.73 m2, GLP-1RA exhibited a superior ability to reduce the risk of all-cause death compared with SGLT-2i (RR 0.75; 95% CI 0.58, 0.97), but it was less effective in reducing the risk of renal outcome (RR 1.80; 95% CI 1.15, 2.84) in patients with an eGFR 60–90 mL/min/1.73 m2. Conversely, in patients with eGFR 30–60 and 60–90 mL/min/1.73 m2, GLP-1RA did not show an advantage in reducing the risk of hospitalization for heart failure (RR 1.87 [95% CI 1.15, 3.04] and 1.37 [95% CI 1.05, 1.78], respectively).

Article Highlights
  • In patients with type 2 diabetes with an estimated glomerular filtration rate (eGFR) >90 mL/min/1.73 m2, glucagon-like peptide 1 receptor agonists reduced the risk of all-cause death.

  • In contrast, for patients with eGFR between 30 and 90 mL/min/1.73 m2, sodium–glucose cotransporter 2 inhibitors significantly decreased the risk of hospitalization for heart failure and renal outcome.

Diabetes is a collection of heterogeneous metabolic disorders characterized by hyperglycemia resulting from defects in insulin secretion and/or action. Over the past decade, the incidence of type 2 diabetes (T2D) has been increasing annually, with an average annual growth rate exceeding 1.5% (1). By 2045, diabetes is projected to affect a minimum of 783 million individuals globally (2). Diabetes, along with cardiovascular diseases (CVDs) such as heart failure (HF) and chronic kidney disease (CKD), are prevalent and interrelated conditions. Moreover, diabetes is a high-risk factor for atherosclerotic cardiovascular disease, HF, and CKD (3). Notably, the coexistence of diabetes and CKD exerts a synergistic effect on the risk of CVD (4). Consequently, preventing the progression of CKD and cardiovascular events is paramount in treating patients with T2D.

As innovative medications in diabetes care, sodium–glucose cotransporter 2 inhibitors (SGLT-2i) and glucagon-like peptide 1 receptor agonists (GLP-1RA) have been shown across numerous randomized controlled trials (RCTs) to have significant cardioprotective benefits (5–9). Importantly, SGLT-2i was recommended for the treatment of HF, regardless of the patient's diabetes status. Moreover, the 2024 American Diabetes Association Diabetes Guidelines endorse SGLT-2i as a comprehensive cardiovascular risk management therapy for patients with T2D with either key cardiovascular risk factors or an established CVD (10). In the realm of renal health, a meta-analysis along with multicenter RCTs, such as the Dapagliflozin and Prevention of Adverse Outcomes in CKD trial, have consolidated the evidence that both SGLT-2i and GLP-1RA effectively reduce urinary albumin excretion and renal composite end-point events in patients with T2D, including a sustained decline in estimated glomerular filtration rate (eGFR), increased in serum creatinine levels, end-stage renal disease, and death related to renal disease (11–13). Notably, GLP-1RA stood out for its capacity to slow the decline in eGFR and reduce urinary albumin excretion in patients with T2D, thereby conferring potential renal benefits (14). In summary, the cardiorenal benefits offered by SGLT-2i and GLP-1RA are of paramount importance.

Although SGLT2i and GLP-1RA provide substantial cardiovascular and renal benefits for patients with T2D, there is a notable absence of studies focusing on their differential efficacy in cardiovascular and renal outcomes across a spectrum of eGFR levels. Therefore, in this study, we investigated the efficacy differences between SGLT2i and GLP-1RA in patients with T2D across various levels of eGFR.

Our study was conducted based on the Preferred Reporting Items for Systematic Review and Meta-analysis checklists and guidelines (15,16). We prospectively registered this systematic review in the International Prospective Register of Systematic Reviews database (registration no. CRD42024553603).

Data Sources and Searches

We systematically searched the PubMed, Cochrane Library, Web of Science, and Embase databases, covering their inception until 7 January 2025. The following keywords were applied: (“Sodium-Glucose Transporter 2 Inhibitors” OR “SGLT-2 Inhibitors” OR “Sotagliflozin” OR “Canagliflozin” OR “Dapagliflozin” OR “Empagliflozin”) OR (“Glucagon-Like Peptide-1 Receptor” OR “GLP-1 Receptor” OR “Dulaglutide” OR “Semaglutide” OR “Liraglutide” OR “Exenatide”) AND (“Diabetes Mellitus” OR “Diabetes Mellitus, Type 2” OR “Type 2 Diabetes Mellitus”) AND (“Renal Insufficiency, Chronic” OR “Chronic Kidney Diseases” OR “Chronic Renal Diseases”).

Study Selection

The selection criteria for included publications were as follows: 1) the type of study should be an RCT; 2) the study included adult patients (≥18 years old) with T2D; 3) the study compared SGLT-2i or GLP-1RA with a placebo; 4) risk of cardiovascular and renal outcomes between treatment and placebo groups with different eGFR were compared; and 5) the study was published in English.

Outcomes

This study evaluated five outcomes: major adverse cardiovascular event (MACE), renal outcome, hospitalization for heart failure (HHF), all-cause death (ACD), and cardiovascular death (including fatal stroke and fatal myocardial infarction). MACE was defined as a composite of cardiovascular death, nonfatal myocardial infarction, or nonfatal stroke. If data on nonfatal myocardial infarction and stroke were unavailable, total myocardial infarction and stroke data were used instead. Renal outcome was defined as a comprehensive end point indicating the progression to advanced stages of CKD (e.g., the continuous decline of eGFR to <15 mL/min/1.73 m2, the doubling of serum creatinine level, renal death).

Data Extraction and Quality Assessment

We used EndNote software to manage the retrieved literature. After screening the title and abstract, the article meeting the inclusion criteria was obtained for evaluation and data extraction. In addition, two reviewers (Y.W. and C.X.) extracted data independently through Microsoft Excel. Different opinions on the data extraction process were solved by the other two reviewers (M.L. and G.X.). The data we extracted covered a range of aspects, including geographic location, patient characteristics, study design characteristics, details of intervention and placebo arms, outcomes of interest, and hazard ratios with their 95% CIs. We made great efforts to contact corresponding authors via email for information that could not be obtained directly. Three reviewers (Y.W., M.L., and C.X.) assessed the risk of bias for all studies independently according to the Cochrane Risk of Bias tool (17). Risk of bias for each domain was evaluated as a high, low, or unclear for included studies. Disagreements were resolved by the fourth reviewer (G.X.).

Statistical Analysis

We performed a network meta-analysis using Stata, version MP 18.0. Risk ratios (RRs) and 95% CIs were used to present the efficacy of treatments. If the 95% CI of an RR did not include 1, the difference between the two groups was considered statistically significant; otherwise, it was not. We installed R, version 4.3.0 (ggplot2 and robvis packages), to evaluate publication bias and installed STATA 18.0 (mvmeta and network packages) to draw forest plots and to conduct heterogeneity tests and sensitivity analysis. In this network meta-analysis, none of the five outcomes formed closed loops, meaning there was only indirect evidence between SGLT-2i and GLP-1RA. Therefore, it was unnecessary to test the inconsistency of this network meta-analysis. Heterogeneity was evaluated using the I2 statistic, which was categorized as follows: unimportant (0% < I2 <40%), moderate heterogeneity (30% < I2 <60%), substantial heterogeneity (50% < I2 <90%), and considerable heterogeneity (75% < I2 <100%) (18). Finally, we conducted a sensitivity analysis of the outcomes with P < 0.05 in the heterogeneity test to evaluate the robustness of the results.

Data and Resource Availability

The original contributions presented in the study are included in the article or the Supplementary Material. Additional inquiries can be directed to the corresponding author.

Literature Search and Included Studies

We retrieved a total of 7,892 articles from PubMed (n = 1,500), Cochrane Library (n = 676), Web of Science (n = 1,652), and Embase (n = 4,064) in our primary search. During the process, another 8 articles were identified through references. After exclusion of duplicates and screening of titles and abstracts, 81 records remained for full-text evaluation. After detailed evaluation and citation searching, 17 articles comprising 10 nonoverlapping RCTs met the inclusion criteria and were included in the network meta-analysis. Of the 10 studies, 5 (19–28) compared SGLT2i with placebo across different eGFR levels, and the other 5 studies (29–35) compared GLP-1RA with placebo under varying eGFR levels. The detailed study-filtering process is shown in Fig. 1.

Figure 1

PRISMA flowchart.

Figure 1

PRISMA flowchart.

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Study Characteristics and Risk of Bias

The characteristics of the included studies are presented in Table 1 and Supplementary Table 1. The pooled population consisted of 87,334 patients with T2D: 47,411 patients in SGLT-2i studies (n = 26,262 in the intervention group and n = 21,149 in the control group), and 39,923 patients in GLP-1RA studies (n = 19,939 in the group treated with GLP-1RA and n = 19,984 in the control group). Supplementary Table 2 lists the number of participants contributed by the source studies and the definitions for MACE outcomes and renal outcomes used in these contributing studies. Although the definitions of MACE and renal outcomes differed slightly among the source studies included in the analysis, they were sufficiently similar to be used for analysis.

Table 1

Baseline characteristics of studies

Trial (reference no.)Study designIllnesses of patients enrolled in trialsIntervention arm, nPlacebo arm, neGFR level (mL/min/1.73 m²)
30–6060–90>90
Age, yearsMale sex, n (%)BMIHbA1c,%eGFRAge, yearsMale sex, n (%)BMIHbA1c, %eGFRAge, yearsMale sex, n (%)BMIHbA1c, %eGFRDrug dose (mg/day)T2D duration,
years
Follow- up, years
SGLT-2i vs. placebo 
 EMPA-REG(19, 20RCT T2D 4,687 2,333 67.1 ± 7.8 1,234 (67.8) 31.0 ± 5.5 8.1 ± 0.9 48.5 ± 8.1 NP NP NP 8.1 NP NP NP NP 8.2 NP Empagliflozin 10/25 NA 3.1 
 DECLARE–TIMI 58 (21RCT T2D 8,582 8,578 67.3 ± 6.6 451 (35.7) 34.5 ± 6.0 8.2 ± 1·2 51.4 ± 7.2 66.2 ± 6.5 2,866 (37.1) 32.1 ± 5.9 8.1 ± 1·1 77.0 ± 8.5 61.2 ± 6.1 5,057 (62.0) 31.6 ± 6.1 8.5 ± 1.2 98.3 ± 6.5 Dapagliflozin 10 11.0 4.2 
 CREDENCE (22, 23RCT T2D and CKD 2,202 2,199 65.4 ± 8.8 NP NP 8.2 ± 1.1 46.7 ± 9.4 62.0 ± 8.2 NP NP 8.3 ± 1.0 82.3 ± 15.9 NA NA NA NA NA Canagliflozin 100 15.8 2.6 
 VERTIS CV (24–26RCT T2D 5,499 2,747 60.3 ± 7.7 1,156 (64.0) 31.6 ± 5.4 8.3 ± 1.0 48.9 ± 8.0 64.7 ± 7.6 3,064 (69.8) 31.8 ± 5.4 8.2 ± 1.0 74.4 ± 8.3 68.2 ± 7.6 1,549 (75.6) 32.4 ± 5.6 8.2 ± 0.9 103.2 ± 12.6 Ertugliflozin 5/15 13.0 3.5 
 SCORED (27,28RCT T2D and CKD 5,292 5,292 69 5,830 (55.1) 31.8 8.3 44.6 NA NA NA NA NA NA NA NA NA NA Sotagliflozin 400 NA 1.3 
GLP-1RA vs. placebo 
 EXSCEL (29,30RCT T2D 7,326 7,365 66.5 ± 8.5 1,815 (57.1) 32.8 ± 6.5 8.1 ± 1.0 49.2 ± 7.7 62.3 ± 8.7 4,487 (61.9) 32.6 ± 6.3 8.1 ± 1.0 74.4 ± 8.6 57.7 ± 9.3 2,814 (65.9) 32.8 ± 6.6 8.2 ± 1.0 107.1 ± 18.5 Exenatide 2 weekly 12.0 3.2 
 Harmony (31RCT T2D 4,731 4,732 NP NP NP NP NP NP NP NP NP NP NP NP NP NP NP Albiglutide 30/50 14.1 1.6 
 PIONEER-6 + SUSTAIN-6 (32RCT T2D 850 849 68.5 ± 7.4 1,033 (60.8) NP 8.3 ± 1.5 45.2 ± 10.2 NA NA NA NA NA NA NA NA NA NA Semaglutide 0.5/1.0 14.9/13.9 1.3/2.1 
 LEADER (33–35RCT T2D 4,643 4,646 67.4 ± 7.3 1,203 (62.2) 32.8 ± 6.4 8.6 ± 1.5 NP 64.8 ± 6.9 2,570 (65.8) 32.5 ± 6.1 8.6 ± 1.5 NP 61.6 ± 6.5 2,111 (64.5) 32.3 ± 6.3 8.9 ± 1.6 NP Liraglutide 1.8 12.8 3.8 
Trial (reference no.)Study designIllnesses of patients enrolled in trialsIntervention arm, nPlacebo arm, neGFR level (mL/min/1.73 m²)
30–6060–90>90
Age, yearsMale sex, n (%)BMIHbA1c,%eGFRAge, yearsMale sex, n (%)BMIHbA1c, %eGFRAge, yearsMale sex, n (%)BMIHbA1c, %eGFRDrug dose (mg/day)T2D duration,
years
Follow- up, years
SGLT-2i vs. placebo 
 EMPA-REG(19, 20RCT T2D 4,687 2,333 67.1 ± 7.8 1,234 (67.8) 31.0 ± 5.5 8.1 ± 0.9 48.5 ± 8.1 NP NP NP 8.1 NP NP NP NP 8.2 NP Empagliflozin 10/25 NA 3.1 
 DECLARE–TIMI 58 (21RCT T2D 8,582 8,578 67.3 ± 6.6 451 (35.7) 34.5 ± 6.0 8.2 ± 1·2 51.4 ± 7.2 66.2 ± 6.5 2,866 (37.1) 32.1 ± 5.9 8.1 ± 1·1 77.0 ± 8.5 61.2 ± 6.1 5,057 (62.0) 31.6 ± 6.1 8.5 ± 1.2 98.3 ± 6.5 Dapagliflozin 10 11.0 4.2 
 CREDENCE (22, 23RCT T2D and CKD 2,202 2,199 65.4 ± 8.8 NP NP 8.2 ± 1.1 46.7 ± 9.4 62.0 ± 8.2 NP NP 8.3 ± 1.0 82.3 ± 15.9 NA NA NA NA NA Canagliflozin 100 15.8 2.6 
 VERTIS CV (24–26RCT T2D 5,499 2,747 60.3 ± 7.7 1,156 (64.0) 31.6 ± 5.4 8.3 ± 1.0 48.9 ± 8.0 64.7 ± 7.6 3,064 (69.8) 31.8 ± 5.4 8.2 ± 1.0 74.4 ± 8.3 68.2 ± 7.6 1,549 (75.6) 32.4 ± 5.6 8.2 ± 0.9 103.2 ± 12.6 Ertugliflozin 5/15 13.0 3.5 
 SCORED (27,28RCT T2D and CKD 5,292 5,292 69 5,830 (55.1) 31.8 8.3 44.6 NA NA NA NA NA NA NA NA NA NA Sotagliflozin 400 NA 1.3 
GLP-1RA vs. placebo 
 EXSCEL (29,30RCT T2D 7,326 7,365 66.5 ± 8.5 1,815 (57.1) 32.8 ± 6.5 8.1 ± 1.0 49.2 ± 7.7 62.3 ± 8.7 4,487 (61.9) 32.6 ± 6.3 8.1 ± 1.0 74.4 ± 8.6 57.7 ± 9.3 2,814 (65.9) 32.8 ± 6.6 8.2 ± 1.0 107.1 ± 18.5 Exenatide 2 weekly 12.0 3.2 
 Harmony (31RCT T2D 4,731 4,732 NP NP NP NP NP NP NP NP NP NP NP NP NP NP NP Albiglutide 30/50 14.1 1.6 
 PIONEER-6 + SUSTAIN-6 (32RCT T2D 850 849 68.5 ± 7.4 1,033 (60.8) NP 8.3 ± 1.5 45.2 ± 10.2 NA NA NA NA NA NA NA NA NA NA Semaglutide 0.5/1.0 14.9/13.9 1.3/2.1 
 LEADER (33–35RCT T2D 4,643 4,646 67.4 ± 7.3 1,203 (62.2) 32.8 ± 6.4 8.6 ± 1.5 NP 64.8 ± 6.9 2,570 (65.8) 32.5 ± 6.1 8.6 ± 1.5 NP 61.6 ± 6.5 2,111 (64.5) 32.3 ± 6.3 8.9 ± 1.6 NP Liraglutide 1.8 12.8 3.8 

Values are mean ± SD, unless otherwise stated. NA, not available (these populations contributed to the analysis); NP, not provided (these populations did not contribute to the analysis).

We assessed the risk of bias in those trials using the Revised Cochrane Risk of Bias Tool (RoB 2.0) (36). The quality evaluation of the included studies is shown in Supplementary Fig. 1. All trials were evaluated as low risk in 5 outcomes (28).

Network Meta-Analysis of Treatment Groups

Major Adverse Cardiovascular Events

Within the range of eGFR of 30–60, 60–90, or >90 mL/min/1.73 m2, SGLT2 and GLP-1RA did not show statistical differences in reducing MACE when compared with each other (RR 0.98 [95% CI 0.79, 1.21]; 0.95 [95% CI 0.78, 1.16]; and 0.90 [95% CI 0.76, 1.07], respectively; Supplementary Fig. 2).

Hospitalization for Heart Failure

Compared with GLP-1RA, SGLT-2i therapy correlated with a lower risk of HHF in the eGFR 30–60 mL/min/1.73 m2 level (RR 1.87; 95% CI 1.15, 3.04) and the 60–90 mL/min/1.73 m2 level (RR 1.37; 95% CI 1.05, 1.78). There was substantial heterogeneity within the eGFR 30–60 mL/min/1.73 m2 level (I2 = 85.1%; P < 0.001) (Fig. 2).

Figure 2

Risk ratios and their 95% CIs for the comparison of HHF in three categories of baseline eGFR (30 to ≤60; 60 to ≤90; >90 mL/min/1.73 m2) for the comparison of SGLT-2i with placebo treatment, GLP-1RA with placebo treatment, and GLP-1RA with SGLT-2i treatment, as calculated by network meta-analysis.

Figure 2

Risk ratios and their 95% CIs for the comparison of HHF in three categories of baseline eGFR (30 to ≤60; 60 to ≤90; >90 mL/min/1.73 m2) for the comparison of SGLT-2i with placebo treatment, GLP-1RA with placebo treatment, and GLP-1RA with SGLT-2i treatment, as calculated by network meta-analysis.

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All-Cause Death

Compared with SGLT-2i, GLP-1RA demonstrated a lower correlation with ACD risk in patients with an eGFR >90 mL/min/1.73 m2 (RR 0.75; 95% CI 0.58, 0.97). Although there was substantial heterogeneity within the eGFR 60–90 mL/min/1.73 m2 level (I2 = 75.6%; P = 0.006), the sensitivity analysis results indicated that this study's conclusion was robust (Fig. 3).

Figure 3

Risk ratios and their 95% CIs for the comparison of ACD in three categories of baseline eGFR (i.e., 30 to ≤60; 60 to ≤90; >90 mL/min/1.73 m2) for the comparison of SGLT-2i with placebo treatment, GLP-1RA with placebo treatment, and GLP-1RA with SGLT-2i treatment, as calculated by network meta-analysis.

Figure 3

Risk ratios and their 95% CIs for the comparison of ACD in three categories of baseline eGFR (i.e., 30 to ≤60; 60 to ≤90; >90 mL/min/1.73 m2) for the comparison of SGLT-2i with placebo treatment, GLP-1RA with placebo treatment, and GLP-1RA with SGLT-2i treatment, as calculated by network meta-analysis.

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Cardiovascular Death

When considering different levels of renal function (i.e., 30–60, 60–90, or >90 mL/min/1.73 m2), the effect of SGLT-2i treatment was not statistically different compared with GLP-1RA treatment in reducing the risk of cardiovascular death (RR 1.08 [95% CI 0.81, 1.45]; 1.07 [95% CI 0.70, 1.63]; and 0.72 [95% CI 0.51, 1.00], respectively). Despite substantial heterogeneity within the eGFR 60–90 mL/min/1.73 m2 level (I2 = 56.7%; P = 0.042), the results of sensitivity analysis indicated the conclusion of this study was robust (Supplementary Fig. 2).

Renal Outcome

In terms of renal outcome, when the eGFR was >90 mL/min/1.73 m2, SGLT-2i therapy demonstrated an effect in reducing the risk of kidney outcome compared with GLP-1RA treatment (RR 1.80; 95% CI 1.15, 2.84). There was substantial heterogeneity within the eGFR >90 mL/min/1.73 m2 level (I2 = 75.8%; P = 0.016) (Fig. 4).

Figure 4

Risk ratios and their 95% CIs for the comparison of renal outcome in three categories of baseline eGFR (30 to ≤60; 60 to ≤90; >90 mL/min/1.73 m2) for the comparison of SGLT-2i with placebo treatment, GLP-1RA with placebo treatment, and GLP-1RA with SGLT-2i treatment, as calculated by network meta-analysis.

Figure 4

Risk ratios and their 95% CIs for the comparison of renal outcome in three categories of baseline eGFR (30 to ≤60; 60 to ≤90; >90 mL/min/1.73 m2) for the comparison of SGLT-2i with placebo treatment, GLP-1RA with placebo treatment, and GLP-1RA with SGLT-2i treatment, as calculated by network meta-analysis.

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Heterogeneity Test and Sensitivity Analysis

We conducted heterogeneity tests to check the robustness of the results, which are detailed in Supplementary Fig. 3. When the result was statistically heterogeneous at P < 0.05, we performed sensitivity analyses (detailed in Supplementary Fig. 4). Specifically, when comparing the reduction of risk of HHF between SGLT-2i and GLP-1RA treatments in patients with eGFR 30–60 mL/min/1.73 m2, the Exenatide Study of Cardiovascular Event Lowering (EXSCEL) and Cardiovascular Outcomes Following Ertugliflozin Treatment in Type 2 Diabetes Mellitus Participants With Vascular Disease (VERTIS CV) studies may be the potential sources of heterogeneity. Similarly, for the decreased risk of renal outcome in patients with eGFR >90 mL/min/1.73 m2, the heterogeneity comes from the EXSCEL study. However, due to the limited number of studies included in the analysis, we were unable to conduct a meta-regression analysis to investigate the exact sources of heterogeneity further. The number of participants with events of interest and the number of all participants at risk contributing to the network meta-analysis in each category of baseline renal function (i.e., eGFR) and RRs for the comparison of SGLT-2is and GLP-1 RAs with placebo and against each other are presented in Table 2.

Table 2

Participants with events of interest, all participants at risk contributing to the network meta-analysis in each category of baseline renal function (eGFR), and RRs for the comparison of SGLT-2i and GLP-1RA with placebo and with each other

OutcomeeGFR range (mL/min/1.73 m2)SGLT-2iGLP-1RA
E/IE/CE/IE/CComparisonRR95% CII2 (%)P
MACE 30–60 905/9,606 819/8,461 605/4,504 682/4,528 SGLT-2i vs. placebo 0.89 0.77, 1.02 47.3 0.056 
      GLP-1RA vs. placebo 0.87 0.73, 1.04   
      GLP-1RA vs. SGLT-2i 0.98 0.79, 1.21   
 60–90 1,038/10,095 812/7,497 773/7,782 889/7,788 SGLT-2i vs. placebo 0.91 0.79, 1.04 43.6 0.1 
      GLP-1RA vs. placebo 0.86 0.75, 1.00   
      GLP-1RA vs. SGLT-2i 0.95 0.78, 1.16   
 >90 541/6,557 425/5,191 434/5,172 502/5,195 SGLT-2i vs. placebo 0.97 0.85, 1.09 0.832 
      GLP-1RA vs. placebo 0.87 0.77, 0.99   
      GLP-1RA vs. SGLT-2i 0.90 0.76, 1.07   
HHF 30–60 205/4,485 286/3,239 142/2,556 143/2,555 SGLT-2i vs. placebo 0.52 0.39, 0.69 85.1 <0.001 
      GLP-1RA vs. placebo 0.97 0.66, 1.43   
      GLP-1RA vs. SGLT-2i 1.87 1.15, 3.04   
 60–90 262/10,095 280/7,497 180/5,574 186/5,579 SGLT-2i vs. placebo 0.71 0.60, 0.84 20.0 0.282 
      GLP-1RA vs. placebo 0.97 0.80, 1.19   
      GLP-1RA vs. SGLT-2i 1.37 1.05, 1.78   
 >90 119/6,557 104/5,191 79/3,747 101/3,796 SGLT-2i vs. placebo 0.94 0.72, 1.23 0.516 
      GLP-1RA vs. placebo 0.80 0.60, 1.07   
      GLP-1RA vs. SGLT-2i 0.85 0.57, 1.25   
ACD 30–60 432/7,110 405/6,558 314/2,556 350/2,555 SGLT-2i vs. placebo 0.91 0.74, 1.11 56.4 0.057 
      GLP-1RA vs. placebo 0.88 0.70, 1.10   
      GLP-1RA vs. SGLT-2i 0.97 0.72, 1.30   
 60–90 358/6,261 380/5,132 376/5,574 426/5,579 SGLT-2i vs. placebo 0.73 0.52, 1.03 75.6 0.006 
      GLP-1RA vs. placebo 0.90 0.65, 1.25   
      GLP-1RA vs. SGLT-2i 1.23 0.77, 1.96   
 >90 254/5,187 225/4,513 163/3,747 225/3,796 SGLT-2i vs. placebo 0.98 0.82, 1.17 46.4 0.133 
      GLP-1RA vs. placebo 0.73 0.60, 0.89   
      GLP-1RA vs. SGLT-2i 0.75 0.58, 0.97   
CV death 30–60 444/9,606 418/8,461 202/2,556 218/2,555 SGLT-2i vs. placebo 0.84 0.71, 0.99 20.3 0.275 
      GLP-1RA vs. placebo 0.91 0.71, 1.16   
      GLP-1RA vs. SGLT-2i 1.08 0.81, 1.45   
 60–90 388/10,095 332/7,497 229/5,574 277/5,579 SGLT-2i vs. placebo 0.79 0.61, 1.01 56.7 0.042 
      GLP-1RA vs. placebo 0.84 0.60, 1.17   
      GLP-1RA vs. SGLT-2i 1.07 0.70, 1.63   
 >90 191/6,557 130/5,191 110/3,747 147/3,796 SGLT-2i vs. placebo 1.06 0.85, 1.32 44.8 0.123 
      GLP-1RA vs. placebo 0.76 0.59, 0.97   
      GLP-1RA vs. SGLT-2i 0.72 0.51, 1.00   
Renal outcome 30–60 176/7,195 271/7,246 168/2,556 186/2,555 SGLT-2i vs. placebo 1.98 0.36, 10.97 28.5 0.231 
      GLP-1RA vs. placebo 0.90 0.11, 7.29   
      GLP-1RA vs. SGLT-2i 0.45 0.03, 6.78   
 60–90 100/4,743 164/4,798 140/5,574 204/5,579 SGLT-2i vs. placebo 0.50 0.34, 0.74 12.1 0.332 
      GLP-1RA vs. placebo 0.91 0.72, 1.15   
      GLP-1RA vs. SGLT-2i 1.80 1.15, 2.84   
 >90 41/4,137 79/4,025 165/3,747 183/3,796 SGLT-2i vs. placebo 0.63 0.46, 0.86 75.8 0.016 
      GLP-1RA vs. placebo 0.69 0.53, 0.90   
      GLP-1RA vs. SGLT-2i 1.10 0.73, 1.64   
OutcomeeGFR range (mL/min/1.73 m2)SGLT-2iGLP-1RA
E/IE/CE/IE/CComparisonRR95% CII2 (%)P
MACE 30–60 905/9,606 819/8,461 605/4,504 682/4,528 SGLT-2i vs. placebo 0.89 0.77, 1.02 47.3 0.056 
      GLP-1RA vs. placebo 0.87 0.73, 1.04   
      GLP-1RA vs. SGLT-2i 0.98 0.79, 1.21   
 60–90 1,038/10,095 812/7,497 773/7,782 889/7,788 SGLT-2i vs. placebo 0.91 0.79, 1.04 43.6 0.1 
      GLP-1RA vs. placebo 0.86 0.75, 1.00   
      GLP-1RA vs. SGLT-2i 0.95 0.78, 1.16   
 >90 541/6,557 425/5,191 434/5,172 502/5,195 SGLT-2i vs. placebo 0.97 0.85, 1.09 0.832 
      GLP-1RA vs. placebo 0.87 0.77, 0.99   
      GLP-1RA vs. SGLT-2i 0.90 0.76, 1.07   
HHF 30–60 205/4,485 286/3,239 142/2,556 143/2,555 SGLT-2i vs. placebo 0.52 0.39, 0.69 85.1 <0.001 
      GLP-1RA vs. placebo 0.97 0.66, 1.43   
      GLP-1RA vs. SGLT-2i 1.87 1.15, 3.04   
 60–90 262/10,095 280/7,497 180/5,574 186/5,579 SGLT-2i vs. placebo 0.71 0.60, 0.84 20.0 0.282 
      GLP-1RA vs. placebo 0.97 0.80, 1.19   
      GLP-1RA vs. SGLT-2i 1.37 1.05, 1.78   
 >90 119/6,557 104/5,191 79/3,747 101/3,796 SGLT-2i vs. placebo 0.94 0.72, 1.23 0.516 
      GLP-1RA vs. placebo 0.80 0.60, 1.07   
      GLP-1RA vs. SGLT-2i 0.85 0.57, 1.25   
ACD 30–60 432/7,110 405/6,558 314/2,556 350/2,555 SGLT-2i vs. placebo 0.91 0.74, 1.11 56.4 0.057 
      GLP-1RA vs. placebo 0.88 0.70, 1.10   
      GLP-1RA vs. SGLT-2i 0.97 0.72, 1.30   
 60–90 358/6,261 380/5,132 376/5,574 426/5,579 SGLT-2i vs. placebo 0.73 0.52, 1.03 75.6 0.006 
      GLP-1RA vs. placebo 0.90 0.65, 1.25   
      GLP-1RA vs. SGLT-2i 1.23 0.77, 1.96   
 >90 254/5,187 225/4,513 163/3,747 225/3,796 SGLT-2i vs. placebo 0.98 0.82, 1.17 46.4 0.133 
      GLP-1RA vs. placebo 0.73 0.60, 0.89   
      GLP-1RA vs. SGLT-2i 0.75 0.58, 0.97   
CV death 30–60 444/9,606 418/8,461 202/2,556 218/2,555 SGLT-2i vs. placebo 0.84 0.71, 0.99 20.3 0.275 
      GLP-1RA vs. placebo 0.91 0.71, 1.16   
      GLP-1RA vs. SGLT-2i 1.08 0.81, 1.45   
 60–90 388/10,095 332/7,497 229/5,574 277/5,579 SGLT-2i vs. placebo 0.79 0.61, 1.01 56.7 0.042 
      GLP-1RA vs. placebo 0.84 0.60, 1.17   
      GLP-1RA vs. SGLT-2i 1.07 0.70, 1.63   
 >90 191/6,557 130/5,191 110/3,747 147/3,796 SGLT-2i vs. placebo 1.06 0.85, 1.32 44.8 0.123 
      GLP-1RA vs. placebo 0.76 0.59, 0.97   
      GLP-1RA vs. SGLT-2i 0.72 0.51, 1.00   
Renal outcome 30–60 176/7,195 271/7,246 168/2,556 186/2,555 SGLT-2i vs. placebo 1.98 0.36, 10.97 28.5 0.231 
      GLP-1RA vs. placebo 0.90 0.11, 7.29   
      GLP-1RA vs. SGLT-2i 0.45 0.03, 6.78   
 60–90 100/4,743 164/4,798 140/5,574 204/5,579 SGLT-2i vs. placebo 0.50 0.34, 0.74 12.1 0.332 
      GLP-1RA vs. placebo 0.91 0.72, 1.15   
      GLP-1RA vs. SGLT-2i 1.80 1.15, 2.84   
 >90 41/4,137 79/4,025 165/3,747 183/3,796 SGLT-2i vs. placebo 0.63 0.46, 0.86 75.8 0.016 
      GLP-1RA vs. placebo 0.69 0.53, 0.90   
      GLP-1RA vs. SGLT-2i 1.10 0.73, 1.64   

E, events; I, intervention; C, control; CV, cardiovascular.

GLP-1RA and SGLT-2i have been proven to reduce the risk of cardiovascular and renal outcomes in patients with T2D, and subgroup analyses of multiple RCTs have shown that their effects are not influenced by baseline eGFR levels (37,38). However, the difference in benefits between SGLT-2i and GLP1-RA in patients with different renal functions remains unclear.

Our results indicate that within the eGFR 30–90 mL/min/1.73 m2 range, SGLT-2i demonstrated more pronounced efficacy in reducing the risk of HHF compared with GLP-1RA, suggesting a consistent benefit of SGLT-2i across a broader eGFR spectrum for reducing HHF risk, which could be attributed to the mild natriuretic and diuretic effects of SGLT-2i. Multiple RCTs have shown that in patients with HF with reduced ejection fraction, SGLT-2i was associated with a lower risk of cardiovascular death or HHF (39,40), and SGLT-2is now are recommended as a first-line therapy for patients with HF with reduced ejection fraction (41). Apart from providing indirect protection to the heart by lowering blood pressure and blood glucose levels, SGLT-2i also inhibited the activity of Na+/H+ exchange in the heart, decreased intracellular calcium and sodium levels, and simultaneously enhanced myocardial energy metabolism and increased myocardial oxygen supply, thereby inhibiting myocardial fibrosis and reversing myocardial remodeling. Furthermore, SGLT-2i can improve cardiovascular function by reducing cardiac load through its diuretic effect and mitigating oxidative stress and endothelial cell inflammation (42–44). However, no difference was observed in individuals with eGFR >90 mL/min/1.73 m2, which likely is due to the weaker natriuretic and diuretic effects of SGLT-2i in individuals with better renal function. Insufficient data for patients with eGFR <30 mL/min/1.73 m2 were available for comparison analysis, due to the limited inclusion of such patients in relevant RCTs.

Within the eGFR >90 mL/min/1.73 m2 level, SGLT-2i therapy was more pronounced in reducing the risk of renal outcome. A pooled analysis comparing SGLT-2i and GLP-1RA therapies in patients with diabetes with respect to the difference in composite renal outcome and MACE found that the protective effect of SGLT-2i on composite renal events was 28 times that of GLP-1RA (45). Our research suggests the difference in renal protection between these two drugs may be more significant when eGFR >90 mL/min/1.73 m2. This could be attributed to the unique mechanism of SGLT-2i, which blocks glucose reabsorption in proximal tubular cells, effectively limiting the excessive accumulation of glucose in the body and subsequently mitigating the impact of glucose toxicity on the organism. This process may contribute to reduced oxidative stress and exert an anti-inflammatory effect (46). Also, SGLT-2i blocks sodium reabsorption in the proximal tubules, leading to afferent arteriolar vasoconstriction and reduced intraglomerular pressure through physiological mechanisms such as tubuloglomerular feedback (47,48).

Within the eGFR range >90 mL/min/1.73 m2, GLP-1RA is superior to SGLT-2i in reducing the risk of ACD. Research indicates that, in addition to the indirect cardiovascular protective effects through blood glucose reduction and weight loss, GLP-1RA also modulated blood pressure and lipid levels, reduced reactive oxygen species and inflammation (49,50), and inhibited myocardial fibrosis. GLP-1RAs also mediate the release of nitric oxide from endothelial cells, thereby improving endothelial function (51,52). GLP-1RA exhibited cardioprotective effects through these mechanisms, although different GLP-1RA drugs may vary in their cardiovascular benefits (53).

Limitations

Our study had several limitations. First, some data of our study come from subgroup analyses of RCTs. Second, the heterogeneity of some outcomes had a P value <0.05, so the results should be interpreted cautiously. Third, the level of albuminuria is also an important indicator of baseline renal function, but our study did not explore renal outcomes with respect to albuminuria, which may lead to bias. More studies, including head-to-head comparisons, are needed to explore the impact of SGLT-2i and GLP-1RA on patients with T2D with different baseline renal functions.

Conclusions

SGLT-2i and GLP-1RA have different effects on the protection of cardiovascular and renal functions in patients with T2D with various baseline renal function levels. Specifically, SGLT-2i had notable advantages in decreasing the risk of HHF and renal outcome of patients with eGFR 30–90 mL/min/1.73 m2. Conversely, GLP-1RA demonstrated a potential to reduce the risk of ACD in patients with eGFR >90 mL/min/1.73 m2. Therefore, individualized considerations should be made based on the patient's specific kidney function status and risk factors when selecting treatment medications.

This article contains supplementary material online at https://doi.org/10.2337/figshare.28369394.

Funding. This study was supported by the Key Projects of Jiangxi Natural Science Foundation (grant 20224ACB206008), the Key Clinical Research Project of the Second Affiliated Hospital of Nanchang University (grant 2022efyB01), the “Thousand Talents Plan” project of introducing and training high-level talents of innovation and entrepreneurship in Jiangxi Province (grant JXSQ2023201030), and the Jiangxi Province Key Laboratory of Molecular Medicine (grant 2024SSY06231).

Duality of Interest. No potential conflicts of interest relevant to this article were reported.

Author Contributions. Y.W. and G.X. conceptualized the study and its design. Y.W. and C.X. conducted the literature search and data extraction. Y.W., M.L., and C.X. analyzed the data. Y.W. wrote the manuscript. G.X. edited the manuscript. All authors read and agreed to submit the manuscript to this journal.

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