Cardiovascular outcomes associated with SGLT-2 inhibitors versus other glucose-lowering drugs in patients with type 2 diabetes: A real-world systematic review and meta-analysis

DOI: https://doi.org/10.21203/rs.3.rs-16511/v1

Abstract

Background Glucose lowering agents that reduce the risk of major cardiovascular events would be considered a major advance. Despite the reduction of cardiovascular risk by sodium-glucose cotransporter 2 inhibitors (SGLT-2i) has been confirmed by some large randomized controlled studies and systematic reviews, exact indicators of cardiovascular risk remained controversial. Whether consistent results can be obtained in clinical practice is unclear. Therefore, in this meta-analysis, we examined the real-world effect of SGLT-2i on cardiovascular outcome in patients with type 2 diabetes mellitus (T2DM).

Methods We did a real-world systematic review and meta-analysis of cardiovascular outcome of SGLT-2i in patients with T2DM. We searched PubMed and Embase for trials published up to October 23, 2019. Data search and extraction were completed with a standardized data form and any discrepancies were resolved by consensus. The primary outcome was major adverse cardiovascular events (MACE) and all-cause mortality (ACM). Secondary outcomes were hospitalization for heart failure (HHF), atrial fibrillation (AF), myocardial infarction (MI), stroke, cardiovascular mortality (CVM), unstable angina (UA), heart failure (HF). Odds ratio (OR) with 95% CIs were pooled across trials, and cardiovascular outcomes were stratified by baseline incidence of cardiovascular disease (CVD), usage rate of cardiovascular benefit drug, follow-up period and region.

Results Fourteen trials enrolling 3,157,259 patients were included. SGLT-2i reduced MACE (OR, 0.71; 95% CI 0.67,0.75, P<0.001) and ACM (OR, 0.53; 95% CI 0.49,0.57, P<0.001) compared to other glucose lowering drugs (oGLD). Compared with oGLD, SGLT-2i had significantly lowered the risk of HHF (OR, 0.56; 95% CI 0.46,0.68, P<0.001), MI (OR, 0.77; 95% CI 0.73,0.81, P<0.001), stroke (OR, 0.75; 95% CI 0.72,0.78, P<0.001), CVM (OR, 0.58; 95% CI 0.49,0.69, P<0.001) and HF(OR, 0.56; 95% CI 0.48,0.67, P<0.001), but there was no benefit from UA or AF. Subgroup analysis showed SGLT-2i reduced the risk of MACE, ACM, HHF, MI, stroke, CVM and HF with a similar benefit regardless of the incidence of CVD was (20-30)% or < 15%, (15-30)% and <15% have been treated with GLP-1 receptor agonists (GLP-1RA), >80% and<70% have been treated with statins or both GLP-1RA and statins. SGLT-2i reduced the risk of ACM in low-risk population (P<0.001). No inconsistencies were found when stratification was performed at 1 or (3-4) years of follow-up. SGLT-2i showed similar cardiovascular benefits in the Nordic countries, Asia and the United States.

Conclusions The predominant impact of SGLT-2i is on cardiovascular outcome driven predominantly by reduction in MACE, ACM, HHF, MI, stroke, CVM, HF, but not UA or AF. SGLT-2i have robust benefits on reducing MACE, ACM, HHF, MI, stroke, CVM and HF regardless of a history of usage rate of GLP-1RA and/or statins and /or metformin.

Background

Diabetes mellitus is a risk factor for cardiovascular disease (CVD) and has been associated with 2- to 4-fold higher mortality[1]. CVD remains a leading cause of morbidity and mortality in patients with type 1 or type 2 diabetes mellitus[2]. Since 2008, US Food and Drug Administration has mandated that all new antihyperglycaemic agents must be tested for cardiovascular safety in post-marketing endpoint trials[3]. Currently, there is a paradigm shift in T2DM management, moving from a primary objective of glucose control to a cardiovascular protection. There are many glucose-lowering drugs on the market, but several of them have demonstrated significant benefits of cardiovascular protection. Metformin[4, 5] and glucagon-like peptide 1 receptor agonists (GLP-1RA) are known to have cardiovascular protective effects[69]. Sodium glucose cotransporter 2 inhibitors (SGLT-2i) is a relatively new drug-class of glucose-lowering medications. The risks and benefits of SGLT-2i on cardiovascular outcomes have being studied in large prospective cardiovascular outcome trials (CVOTs): CANVAS (Canagliflozin)[10], DECLARE-TIMI 58 (Dapagliflozin)[11], EMPA-REG OUTCOME (Empagliflozin)[12], which have proven their efficacy to reduce major cardiovascular events (MACE) in patients with T2DM and established CVD. The cardiovascular protective effect of SGLT-2i was also confirmed in several meta-analysis and systematic evaluation of RCT trials[1315]. However, whether these positive results could be extrapolated to patients in real world clinical practice is still unknown. SGLT-2i has been reported to be a possible increased risk of stroke. So, we pooled evidence from real-world studies to assess the cardiovascular effects of these drugs.

Materials And Methods

Study retrieval and selection

Our study protocol was registered in PROSPERO (CRD: 42019119236). Published observational studies and cohort studies on the cardiovascular outcomes of SGLT-2i in patients with T2DM were identified using PubMed and Embase databases. All eligible studies in English published until October 23, 2019 were included. The search strategy was consisted of a combination of the following Mesh terms and text words: sodium-dependent glucose co-transporter 2 inhibitors, sodium-glucose co-transporter 2 inhibitors, sodium/glucose cotransporter 2 inhibitors, sodium-glucose cotransporter 2 inhibitors, SGLT2 inhibitors, Ertugliflozin, Dapagliflozin, Canagliflozin, Empagliflozin, Ipragliflozin, Tofogliflozin, Luseogliflozin, sodium-glucose transporter 2 inhibitors, BMS-512148, cardiovascular disease [MeSH Terms], cardiovascular safety, CVD, major adverse cardiovascular event, major adverse cardiac events, MACE, cardiovascular outcomes, cardiovascular effects, cardiovascular risk factors, cardiovascular benefits, cardiovascular mortality, cardiovascular events, non-fatal myocardial infarction, myocardial infarction, rehospitalization, non-fatal stroke, hospitalization for heart failure, nonfatal myocardial infarction, nonfatal stroke, cardiovascular mortality, all-cause mortality, revascularization, cardiogenic death, stroke, vascular death, non-fatal acute myocardial infarction, hospitalization for unstable angina, heart failure requiring hospitalization. Meanwhile, randomized controlled trial, randomized control trial, and RCT were excluded.

Criteria for inclusion

Studies that met the following conditions were included for this meta-analysis:

① Types of studies: prospective or retrospective observational studies, cohort studies.

② Study populations: participants were clearly diagnosed with T2DM, and participants were at least 18 years, no restrictions were applied in terms of sex or ethnicity.

③ Interventions: the experimental group administrated with SGLT-2i, the control group was treated with oGLD.

④ Outcome measures: Primary outcomes: a composite cardiovascular endpoint: major adverse cardiovascular events (MACE), all-cause mortality (ACM); secondary outcomes: hospitalization for heart failure (HHF), atrial fibrillation (AF), myocardial infarction (MI), stroke, cardiovascular mortality (CVM), unstable angina (UA), heart failure (HF). The list of title and abstract was assessed by 2 investigators to identify articles for full-text review. Any discrepancy or uncertainty was resolved by consensus or discussion with the other authors.

Criteria for exclusion

① Participants <18 years.

② Randomized controlled study, review articles, case reports, letters to the editor.

③ Any other non-relevant studies were excluded from analysis.

Data extraction

To avoid bias in the data abstraction process, a standardized extraction form was used, and the following data was extracted independently by 2 authors: first author, country, years of publication, study population, mean age of participants, number of patients, intervention plan, follow-up period, outcome measures, etc. Data extraction forms were cross-checked to verify accuracy and consistency of the extracted data. All data were checked by the third author and disagreements were resolved by discussion.

Study quality assessment

The quality of the studies will be independently assessed by 2 authors using the the New castle-Ottawa Scale[16]. This scale rates studies on 3 major domains: selection, comparability, and exposure. A study can be awarded a maximum of 1 point for each numbered item within the selection and exposure categories, and a maximum of 2 points can be given for comparability. The full core is 9 points (highest quality), and we assigned scores of 0-3, 4-6, and 7-9 for low, moderate, and high quality of studies, respectively.

Statistical analysis

The meta analysis was conducted by using Review Manager (version 5.3, The Cochrane Collaboration, Oxford, England). Stata 12.0 software (StataCorp, College Station, TX, United States) was used for publication bias analysis. Statistical heterogeneity between studies was assessed by the Cochran chi-square test complemented with the I2 statistic. If chi-square test was nonsignificant (P>0.10) and the I2 statistic was less than 50%, it indicated a lack of heterogeneity, and fixed effect model was adopted; on the contrary, the random effect model was used for analysis. Odds ratio (OR) was used to describe the classification variables. OR was estimated by the Mantel-Haenszel χ2 method, where P values < 0.05 were considered significantly different. Possible publication bias was assessed by Egger’s and Begg’s funnel plots, where P values < 0.05 indicated little publication bias.

Results

Description and quality evaluation of studies

The literature screening process was shown in figure 1. A total of 2209 studies were initially retrieved, and fourteen studies[17-30] were finally included after excluding those that did not meet the inclusion criteria.

Fourteen[17-30] observational studies or cohort studies met the inclusion criteria, A total of 20 cohort (3,157,259 patients) were included. The characteristics of each study were presented in table 1. In total, there were 1,127,629 enrolled participants in the trials who were treated with SGLT-2i, 2,029,630 were administrated with oGLD. The characteristics of the participants were as follows:mean age was 54.0-65.8 years, 35.9%-47.7% were female and the course of diabetes varied over several years. The mean follow-up time was 0.6-4.0 years. The populations with a history of CVD reported in the included literature were (11.2-33.4) %. The participants had previously used metformin, GLP-1RA, and statins/lipid lowering drug were (15.4-85.0) %, (5~28.2) %, (60.2~88.4) % , respectively.

The quality of the studies was assessed using the Newcastle-Ottawa Scale. Studies given greater than 4 stars were recognized as being moderate to high quality. The results of this assessment were shown in supplementary table 1. Of the 14 studies included, 12 had a score of 8, 1 had a score of 7 and 1 had a score of 6. The quality evaluations of all included literature were of high quality.

Primary outcomes

MACE

MACE was reported in 5 trials[17,21,22,27,30]. For the outcome of MACE, the pooled results from the fixed-effects model showed that compared with oGLD, SGLT-2i had significantly lowered the risk of MACE (OR, 0.71; 95% CI 0.67,0.75; P< 0.001; Figure 2). There was no heterogeneity across trials (P =0.55; I2=0%).

All-cause mortality

ACM was reported in 15 trials[17-22,24-28,30]. For the outcome of ACM, the pooled results from the random-effects model showed that compared with oGLD, SGLT-2i had significantly lowered the risk of ACM (OR, 0.53; 95% CI 0.49,0.57; P< 0.001; Figure 3). There was heterogeneity across trials (P< 0.001; I2=62%).

Secondary endpoint

The pooled results of secondary endpoint were showed in Table 2, compared with oGLD, SGLT-2i had significantly lowered HHF, MI, stroke, CVM and HF (P< 0.001), but there was no benefit from UA (P=0.51) or AF (P=0.10).

Subgroup analysis

Subgroup analysis according to the incidence of cardiovascular disease

In the included study, the incidence of CVD in T2DM patients at baseline was (11.2-33.4) %. Toulis KA[18] and Cavender MA[25] have divided people into low-risk and high-risk subset based on their cardiovascular risk. We performed a subgroup analysis based on the incidence of CVD, and they were divided into four groups: low-risk population, high risk population, population with incidence of CVD < 15%[23,24] and population with incidence of CVD (20-30) %[17,20,21,27,30]. Table 3 showed the results of stratified analysis. SGLT-2i significantly decreased ACM compared with oGLD in low-risk population (P<0.001). SGLT-2i significantly decreased MACE, ACM, HHF, MI, stroke and CVM compared with oGLD whether the incidence of CVD was (20-30) % or < 15% (P<0.001). ACM in the high-risk population reported only in one trial in the high-risk subset of the study population. So the pooled results could not be obtained.

Subgroup analysis according to the usage rate of GLP-1RA, statins or metformin

In the included studies, patients have been previously given drugs with cardiovascular benefits. (15.4-85.0) % of patients have been treated with metformin, (5.0-28.2) % with GLP-1RA and (60.2-88.4) % with statins or lipid lowering drug.

Subgroup analysis was performed according to the different utilization rates of GLP-1RA and (or) statins (Supplementary table 2). In the population (15-30) %[19,21,22,24-26] and <15%[17,20,27,28] have been treated with GLP-1RA, SGLT-2i lowered the risk of MACE, ACM, HHF, MI, stroke and CVM more than oGLD with significantly statistical difference (P<0.05) . In the population >80%[18,22,25]and <70%[17,20,21,24-26-28]have been treated with statins or lipid lowering drug, SGLT-2i lowered MACE, ACM, HHF, MI, stroke and CVM more than oGLD with significant statistical difference (P<0.001). In the population have been treated with statins (<70%) and GLP-1RA (<15%) at low rates[17,20,27,28], SGLT-2i lowered the risk of MACE, ACM, HHF, MI, stroke and CVM more than oGLD with significant statistical difference (P<0.05). In the population have been treated with statins (>80%), GLP-1RA (15-30) % and metformin (>75%) at high rates[22,25], SGLT-2i lowered ACM more than oGLD with significant statistical difference (P<0.001). There was no significant difference in UA between the two groups in the population have treated with GLP-1RA (<15%) and/or statins (<70%) (P=0.51).

Subgroup analysis according to different regions

Subgroup analysis was performed according to studies in different regions, including the Nordic countries (Denmark, Norway, and Sweden)[17,21,25-27], Asia (Korea, Japan)[19,20] and the United States[6,7,12,13].

HHF in Asia

HHF in Asia was reported in 2 trials. the pooled results from the fixed-effects model showed that compared with oGLD, SGLT-2i had significantly lowered the risk of HHF (OR, 0.80; 95% CI 0.76,0.85; P <0.001).

In Nordic countries

MACE, ACM, HHF, MI and stroke in the Nordic countries was reported respectively in 4, 5, 3, 3 and 3 trials. The pooled results showed that compared with oGLD, SGLT-2i had significantly lowered the risk of MACE, ACM, HHF, MI and stroke (P <0.05) (Supplementary table 3.).

In the United States

ACM, HHF, MI and stroke in the United States was reported respectively in 4, 7, 6 and 6 trials. The pooled results showed that compared with oGLD, SGLT-2i had significantly lowered the risk of ACM, HHF, MI and stroke (P <0.05) (Supplementary table 3.).

Subgroup analysis according to follow-up period

The subgroup was further analyzed according to the length of follow-up, The included studies were followed up for up to (3-4) years[17,24,30], 1 year[18,20-2303,25-27], and 6 months[18,28]. Since the data of 6 months were only two studies, we pooled the dates of (3-4) years and 1 year. The results of subgroup analysis were consistent with the whole group analysis. SGLT-2i significantly reduced the risk of MACE, ACM, HHF, MI, stroke, CVM and HF than oGLD (P<0.05). ( Supplementary table 4)

Sensitivity analyses

We deleted one single study from the overall pooled analysis each time to check the influence of the removed data set to the overall OR. If there is significant change, the results are considered unstable; otherwise, they are considered stable. The analysis results of all outcomes showed no significant change, so the research results were stable.

Publication bias

All outcomes were examined by Egger's and Begg's, and the results (Supplementary table 5) showed that publication bias might exist in MI (P=0.049), while it did not exist in any other outcomes (P>0.05).

Discussion

In this real-world meta-analysis of 14 trials enrolling 3,157,259 participants with T2DM, approximately (11.2 ~ 33.4) % of the study population had a previous CVD event (ischemic heart disease, stroke, and/or heart failure). The treatment regimen of the experimental group was SGLT-2i, including Dapagliflozin[1727, 29], Ipraglifozin[19, 20], Canagliflozin[20−23,25,27−29, Empagliflozin[20−23,25,27,29], Tofogliflozin[20], Luseogliflozin[20]. The control group was treated with oGLD, including DPP-4 inhibitor, metformin, sulfonylureas, GLP-1RA, thiazolidinediones, insulin, and other medications that can provide cardiovascular benefits included angiotensin converting enzyme inhibitors, statins and antiplatelet. We found that compared with oGLD, SGLT-2i had been associated with significant risk reduction of MACE, ACM, HHF, MI, stroke, CVM and HF. However, we did not find that SGLT-2i resulted in a lowering risk of UA and AF.

CANVAS trial showed patients treated with Canagliflozin had significantly lower risk of MACE, HHF than patients assigned to placebo, but ACM, CVM, MI, stroke were not considered to be significant[10]. DECLARE-TIMI 58 trial showed Dapagliflozin did not result in a lower rate of MACE, ACM, MI, CVM and stroke, but did result in a lower rate of HHF[11]. EMPA-REG OUTCOME trial showed Empagliflozin reduced the risk of MACE, ACM, HHF, CVM, while, there were no significant between-group differences in the occurrence of MI or stroke[12]. Participants in CANVAS trial, DECLARE–TIMI 58 trial and EMPA-REG OUTCOME trial were diabetic patients with established cardiovascular disease or at high risk for cardiovascular disease. In our pooled analysis, about (10–30) % of patients were diagnosed with CVD, with a lower cardiovascular prevalence than in those three randomized controlled trials (RCTs). But our meta-analysis from the real world showed that SGLT-2i was associated with greater cardiovascular benefit than the three RCTs that have been published. Strict inclusion and exclusion criteria and rigorous safety monitoring may limit the generalizability of RCT results.

Our results were consistent with the results of the meta-analysis from the RCT of Usman MS, et al. The difference was that Usman MS’s study showed no significant difference in stroke[31]. Zelniker TA, et al found SGLT-2i reduced the risk of MACE by 11% with benefit only seen in patients with atherosclerotic cardiovascular disease and not in those without[15]. Cohort studies showed Canagliflozin had no treatment heterogeneity between patients with and without established heart failure or CVD[28]. We found different results from subgroup analyses based on the prevalence of CVD. SGLT-2i significantly decreased the risk of MACE, ACM, HHF, MI, stroke and CVM compared with oGLD whether the incidence of CVD was (20–30) % or < 15%. SGLT-2i significantly decreased ACM compared with oGLD in low-risk population, which only came from a pooled analysis of two studies. Unfortunately, we could not do more than ACM in low risk populations. Therefore, more studies are needed to verify the cardiovascular benefits of SGLT-2i in people with low risk of CVD.

The usage rate of cardiovascular benefit drugs such as GLP-1RA, Metformin, statins in the included studies varied. When stratified the usage rate of drugs for cardiovascular benefit at baseline, we got consistent results regardless of high or low usage rate. SGLT-2i lowered MACE, ACM, HHF, MI, stroke and CVM more than oGLD with significantly statistical difference. Although the studies included were real-world cohort studies, they were generally balanced by propensity score matching before data analysis. There was no significant difference in the use of other drugs between SGLT-2i group and oGLD group, which suggested that the cardiovascular benefits were mainly due to the use of SGLT-2i.

The participants included came from different regions such as the Nordic countries, the United States, Asia and the Middle East. Different regions have different insurance types or no insurance coverage, as commercially insured patients are more likely to have differential socioeconomic status, drug adherence, and risk factors for cardiovascular disease. We performed stratified analysis on the population from different regions. No matter in the Nordic countries or the United States, SGLT-2i can significantly reduced the risk of ACM, HHF, MI and stroke. Unfortunately, studies of participants from Asia only had two studies, pooled analysis of two Asia studies showed SGLT-2i can significantly reduce the risk of HHF in Asia.

The follow-up time of the included study was (0.6-4.0) years, Insufficient follow-up time may affect the results of the study. Subgroup analysis showed SGLT-2i significantly reduced MACE, ACM, HHF, MI, stroke, CVM and HF than oGLD whether they were followed up for (3–4) years or 1 year. SGLT-2i failed to significantly reduce ACM in the pooled two studies with a follow-up of 6 months, which depended largely on Patorno E’s study[28]. Interventions in one of the cohort was SGLT-2i vs. GLP-1RA of Patorno E’s study[28]. A network meta-analysis showed the use of SGLT-2i or GLP-1RA was associated with similar lower mortality than DPP-4 inhibitors or placebo or no treatment[32]. On the other hand, the short duration of follow-up explained the lower observed death rates compared with the long duration trials.

Our study included a large sample size and performed a subgroup analysis. However, our study also had several limitations as following: Firstly, We used aggregated study-level data rather than individual participant data. Secondly, fewer included studies performed subgroup analysis on the high-risk and low-risk groups of CVD. Therefore, we could not find more about the cardiovascular benefits of SGLT-2i except to found that SGLT-2i can reduce the risk of ACM in the low-risk population. Thirdly, although stratified analyses were performed based on the prevalence of CVD and the use of drugs for cardiovascular benefits in the included studies, approximately 40% of the included studies were not included in the subgroup analysis because no detailed cardiovascular prevalence or use of drugs for cardiovascular benefits was reported. Fourthly, participants in the study were mainly from Nordic countries and the United States, with small number of participants in Asia. So, we need cardiovascular outcomes of SGLT-2i for participants in East Asia especially China. Finally, some heterogeneity appears to exist between the various agents within SGLT-2i, due to the limited data, so we cannot fully explore through subgroup.

Conclusion

In summary, our study showed that among patients with T2DM who had an increased risk of CVD, SGLT-2i significantly reduced the risk for MACE, ACM, HHF, MI, stroke, CVM and HF regardless of the incidence of CVD is (20–30) % or < 15%, (15–30) % and < 15% have been treated with GLP-1RA, > 80% and < 70% have been treated with statins or both GLP-1RA and statins. No inconsistencies were found when stratification was performed at 1 or (3–4) years of follow-up. SGLT-2i showed similar cardiovascular benefits in Nordic countries, Asia and the United States.

Abbreviations

SGLT-2i: sodium-glucose cotransporter 2 inhibitors; T2DM: type 2 diabetes mellitus; MACE: major adverse cardiovascular events; ACM: all‑cause mortality; HHF: hospitalization for heart failure; AF: atrial fibrillation; MI: myocardial infarction; CVM: cardiovascular mortality; UA: unstable angina; HF: heart failure; OR: Odds ratio; CIs: confdence intervals; CVD: cardiovascular disease; oGLD: other glucose lowering drugs; GLP-1RA: GLP-1 receptor agonists; CVOTs: cardiovascular outcome trials.

Declarations

Acknowledgements

The authors would like to thank Xiangshan Tan for reviewing our manuscript.

Authors’ contributions

Chun-xing Li designed the study and drafted the manuscript. Hua Liu interpreted the result data and reviewed them from a medical perspective. Ling-yan Gao and Shuo Liang conducted literature retrieval and inclusion, data extraction, data verification, and assisted in drafting the manuscript. All authors read and approved the final manuscript.

Funding

Not applicable

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests

Availability of data and materials

The data that support the fndings of this study are available from the corresponding

author upon reasonable request.

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[30] Norhammar A, Bodegard J, Nystrom T, et al. Dapagliflozin is Associated with lower risk of hospitalization for heart failure, major adverse cardiovascular events and all cause death compared to DPP-4i in T2D patients: CVD-REAL Nordic[J]. Can J Diabetes, 2017, 41(5) : S22-S83.

[31] Usman MS, Siddiqi TJ, Memon MM, et al. Sodium-glucose co-transporter 2 inhibitors and cardiovascular outcomes: a systematic review and meta-analysis[J]. Eur J Prev Cardiol,2018,25(5):495-02.

[32] Zheng SL, Roddick AJ, Aghar-Jaffar R, et al. Association between use of sodium-glucose cotransporter 2 inhibitors, glucagon-like peptide 1 agonists, and dipeptidyl peptidase 4 inhibitors with all-cause mortality in patients with type 2 diabetes: a systematic review and meta-analysis[J]. JAMA,2018,319(15):1580-91.

Tables

Table 1. Summary of included studies for systematic review and meta-analysis

Study

Location

Design

Intervention

Patients (No.)

CVD (%)

Age (y)

Female (%)

Met.

GLP-1RA

Statin

Duration of trial (y)

 

 

 

Experiment/Control

 

Persson F 2017[17]

Denmark, Norway, Sweden

observational

study

dapagliflozin/DPP4i

10227/30681

23.0/22.7

61.0±11.1/

60.8±12.4

41.0/40.4

83.3/83.8

7.8/7.5

63.1/63.2

3.0

Tuolis KA 2017[18]

United Kingdom

retrospective, open-cohort study

dapagliflozin/oGLD

4444/17680

<23.4/27.5

58.3±10.4 /58.5±10.4

41.4/41.4

-

-

88.4/84.7

lipid-lowering drug

0.78±0.54/

0.74±0.53

Cahn A 2018[19]

Israel

retrospective cohort study

SGLT-2i/DPP4i

6418/5604

33.4/27.5

62.3±9.4/

64.2±12.1

38.3/43.0

-

28.2/2.3

-

0.5

Kosiborod M 2018[20]

South Korea, Japan, Singapore, Israel, Australia, Canada

cohort study

SGLT-2i/oGLD

235064/235064

26.8/25.6

56.7±12.0/

56.7±12.9

45.0/45.5

73.9/74.6

2.6/2.6

65.4/65.3

1.02/1.07

Birkeland KI 2017[21]

Denmark, Norway, Sweden

observational  study

SGLT-2i/oGLD

22830/68490

24.9/24.8

61.2±10.9/

61.2±12.4

40.6/39.5

74.2/77.4

17.0/14.8

67.4/68.3

0.9±4.1

Udell JA 2018[22]

US

population-based cohort study

SGLT-2i/ non-SGLT-2i

12629/12629

-

65.8±8.9/

65.9±9.8

43.3/44.9

78.5/83.0

19.5/8.1

82.0/81.5

1.6

 

Dawwas GK 2018[23]

USA

retrospective cohort study

SGLT-2i/ sulfonylurea

62767/62767

11.9/11.2

54.0±12.4/

54.0±9.6

47.7/47.6

57.8/58.8

13.9/12.5

-

1.0

 

 

 

 

SGLT-2i/DPP4i

66633/66633

12.6/11.6

55.0±9.2/

54±11.0

46.1/46.2

59.8/62.0

10.4/8.6

-

1.0

Kosiborod M 2017[24]

United States, Germany, Sweden, Norway, Denmark, the United Kingdom

cohort study

SGLT-2i/oGLD

154528/154528

13.0/13.1

56.9±10.0/

57.0±10.6

44.3/44.5

78.6/79.9

20.3/17.5

67.3/67.4

4.0

Cavender MA 2018[25]

United States, United Kingdom, Sweden, Norway, Denmark

observational study

SGLT-2i/oGLD

19529/19764

100/100

62.7±9.7/

63.5±10.4

35.9/36.6

75.2/79.6

21.8/19.6

81.2/82.0

1.02/1.07

 

 

 

SGLT-2i/oGLD

133549/133314

0/0

56.0±9.8/

56.0±10.5

45.5/45.7

79.2/80.0

20.1/17.3

65.6/65.5

1.02/1.07

Nyström T 2017[26]

Sweden

observational study

dapagliflozin/ insulin

2047/4094

-

61.2±10.4/

61.1±12.8

38.0/37.0

85.0/85.0

 

16.0/16.0

 

64.0/64.0

 

1.51/1.53

 

Pasternak B 2019[27]

Denmark, Norway, Sweden

cohort study

SGLT-2i/DPP4i

20983/20983

-

61.0±10.0/

61.0±10.0

40.0/40.0

79.0/79.0

 

10.0/10.0

 

67.0/67.0

lipid-lowering drug

1.1/1.7

Patorno E 2018[28]

US

retrospective cohort study

canagliflozin/DPP4i

17667/17667

-

56.5±10.6/

56.5±10.7

44.9/45.0

15.7/15.4

5.9/5.9

60.2/60.3

0.6±0.5/

0.6±0.5

 

 

 

canagliflozin/ GLP-1RA

20539/20539

-

56.8±10.9/

56.7±10.8

47.3/47.2

16.9/16.8

0/0

61.6/61.9

0.6±0.5/

0.6±0.5

 

 

 

canagliflozin/

sulfonylurea

17354/17354

-

55.9±10.5/

55.8±10.5

45.0/45.2

16.3/16.5

5.9/5.8

60.2/59.4

0.6±0.5/

0.6±0.5

Ryan PB 2018[29]

US

observational study

canagliflozin/all non-SGLT-2i

111332/445367

-

15.0-89.0/

15.0-89.0

42.7-64.7/

42.9-65.0

-

-

-

4.17

 

 

 

canagliflozin/select non-SGLT-2i

120881/319976

-

15.0-89.0/

15.0-89.0

42.7-64.7/

42.9-65.0

-

-

-

4.17

 

 

 

empagliflozin or dapagliflozin/all non-SGLT-2i

79626/350750

-

15.0-89.0/

15.0-89.0

42.7-64.7/

42.9-65.0

-

-

-

4.17

Norhammar A 2017[30]

Norway, Sweden

cohort study

dapagliflozin/DPP4i

8582/25746

21.0/21.0

61.0/61.0

40.0/40.0

-

-

-

0.98

Met.:Metformin, CVD: Cardiovascular disease, SGLT-2i: SGLT-2 inhibitor, DPP4i: DPP-4 inhibitors, GLP-1RA: glucagon-like peptide (GLP)-1 receptor agonist, oGLD: other glucose-lowering drug.



Table 2. Results of meta-analysis on secondary endpoints

Outcomes

Studies

Sample size

Heterogeneity

Model

OR

95% CI

P

HHF

12

2510050

P<0.001,I2=97%

Random

0.56

0.46,0.68

<0.001*

MI

10

1039500

P=0.30,I2=15%

Fixed

0.77

0.73,0.81

<0.001*

Stroke

10

1039500

P=0.23,I2=23%

Fixed

0.75

0.72,0.78

<0.001*

CVM

3

174194

P=0.26,I2=26%

Fixed

0.58

0.49,0.69

<0.001*

UA

4

152028

P=0.49,I2=0%

Fixed

0.92

0.73,1.17

0.51

HF

5

606922

P<0.001,I2=84%

Random

0.56

0.48,0.67

<0.001*

AF

2

132228

P=0.77,I2=0%

Fixed

0.92

0.83,1.02

0.10

HHF: hospitalization for heart failure, MI: myocardial infarction, CVM: cardiovascular mortality, UA: unstable angina, HF: heart failure, AF: atrial fibrillation



Table 3. The results of subgroup analysis based on the risk of cardiovascular disease

Outcomes

Subgroup

Studies

Sample size

Heterogeneity

Model

OR

95% CI

P

MACE

20-30%

4

208522

P=0.69,I2=0%

Fixed

0.73

0.67,0.78

<0.001*

ACM

20-30%

5

678650

P=0.04,I2=59%

Random

0.56

0.51,0.62

<0.001*

 

Low-risk

2

280219

P=0.48,I2=0%

Fixed

0.52

0.46,0.58

<0.001*

HHF

20-30%

4

636684

P=0.01,I2=73%

Random

0.69

0.60,0.79

<0.001*

MI

20-30%

4

644322

P=0.57,I2=0%

Fixed

0.78

0.73,0.83

<0.001*

 

<15%

2

258800

P=0.25 I2=25%

Fixed

0.72

0.65,0.80

<0.001*

Stroke

20-30%

4

644322

P=0.67,I2=0%

Fixed

0.76

0.73,0.80

<0.001*

 

<15%

2

258800

P=0.62,I2=0%

Fixed

0.68

0.62,0.75

<0.001*

CVM

20-30%

3

174194

P=0.26,I2=26%

Fixed

0.58

0.49,0.69

<0.001*

MACE: major adverse cardiovascular events, ACM: all-cause mortality, HHF: hospitalization for heart failure, MI: myocardial infarction, CVM: cardiovascular mortality