Literature DB >> 32502190

Association between sodium-glucose cotransporter 2 (SGLT2) inhibitors and lower extremity amputation: A systematic review and meta-analysis.

James Heyward1, Omar Mansour2, Lily Olson1, Sonal Singh3, G Caleb Alexander1,4,5.   

Abstract

BACKGROUND: The association between sodium-glucose cotransporter 2 inhibitors (SGLT2i's) and lower extremity amputation is unclear.
PURPOSE: To systematically review randomized control trials (RCTs) and observational studies quantifying risk of lower extremity amputations associated with SGLT2i use. DATA SOURCES AND STUDY SELECTION: We searched PubMed, EMBASE, Scopus, and the Cochrane Central Register of Controlled Trials from January 2011 to February 2020 for RCTs and observational studies including lower extremity amputation outcomes for individuals with type 2 diabetes mellitus treated with SGLT2i's vs. alternative treatments or placebo. DATA EXTRACTION AND SYNTHESIS: Two reviewers independently extracted data. MAIN OUTCOMES AND MEASURES: Our primary outcome was risk of lower limb amputation. Secondary outcomes included peripheral arterial disease, peripheral vascular disease, venous ulcerations, and diabetic foot infections. We also evaluated the risk of bias. We conducted random and fixed effects relative risk meta-analysis of RCTs.
RESULTS: After screening 2,006 studies, 12 RCTs and 18 observational studies were included, of which 7 RCTs and 18 observational studies had at least one event. The random effects meta-analysis of 7 RCTs suggested the absence of a statistically significant association between SGLT2i exposure with evidence of substantial statistical heterogeneity (n = 424/23,716 vs n = 267/18,737 in controls; RR 1.28, CI's 0.93-1.76; I2 = 62.0%; p = 0.12) whereas fixed effects analysis showed an increased risk with statistical heterogeneity (RR 1.27, 1.09-1.48; I2 = 62%; p = 0.003). Subgroup analysis of canagliflozin vs placebo showed a statistically significantly increased risk in a fixed effects meta-analysis (n = 2 RCTs, RR 1.59, 1.26-2.01; I2 = 88%; p = 0.0001) whereas the meta-analysis of dapagliflozin or empagliflozin (n = 2 RCTs each) and a single RCT for ertugliflozin did not show a significantly increased risk. The findings from observational studies were too heterogeneous to be pooled in a meta-analysis and draw meaningful conclusions. Both randomized and observational studies were of generally good methodological quality.
CONCLUSIONS: Overall, there was no consistent evidence of SGLT2i exposure and increased risk of amputation. The increased risk of amputation seen in the large, long-term Canagliflozin Cardiovascular Assessment Study (CANVAS) trial for canagliflozin, and select observational studies, merits continued exploration.

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Year:  2020        PMID: 32502190      PMCID: PMC7274434          DOI: 10.1371/journal.pone.0234065

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

In 2017, 30.3 million individuals in the United States were estimated to have diabetes, increasing their risk for microvascular and macrovascular morbidities [1]. Lifestyle modification and pharmacotherapy can help to prevent these complications by reducing glycemic burden and promoting glycemic control. Sodium-glucose cotransporter 2 inhibitors (SGLT2i’s) are anti-hyperglycemic agents (AHA) first approved by the U.S. Food Drug Administration (FDA) in 2013 for type 2 diabetes. Unlike other diabetes treatments, SGLT2i’s, including canagliflozin, dapagliflozin, and empagliflozin, inhibit renal glucose reabsorption, increasing glucose excretion and decreasing plasma glucose concentrations. SGLT2i’s work independently of insulin production and offer additional clinical benefits including weight loss [2] and reduced risk of major cardiovascular events, heart failure and, all-cause death [3]. Against these potential benefits, in 2017, the FDA issued a Drug Safety Communication, concluding that canagliflozin causes an increased risk of leg and foot amputation [4]. The FDA based their decision on two clinical trials that found a statistically significantly greater risk of amputation with canagliflozin compared to placebo (6.3 vs 3.4 participants with amputations per 1000 patient-years, hazard ratio (HR) 1.97 95% confidence intervals (CI) 1.41–2.75) [5]. Those trials only studied canagliflozin and were not statistically powered to assess amputations, but evidence from a meta-analysis of randomized trials supported this assertion, finding a statistically significant increase in risk of amputation for SGLT2i’s compared to active controls or placebo (relative risk (RR) 1.44; CI 1.13–1.83) [3]. Despite this evidence, some observational studies have not detected an association [6][7] or have found a lower risk of amputation from SGLT2i’s versus sulfonylureas [8], and the mechanism by which SGLT2i might increase the risk of amputations is unknown [9]. A review of SGLT2i’s limited to randomized controlled trials published between January 2015 and June 2017 noted an increased risk of amputations in one trial [10]. In addition to updating this prior review limited to RCTs on the outcome of amputations, we also included observational studies and evaluated peripheral vascular events.

Methods

Systematic review registration

We conducted a systematic review and meta-analysis following a prespecified protocol published in the PROSPERO International Prospective Register of Systematic Reviews [11]. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) checklist ().

Data sources and searches

We searched PubMed, EMBASE, Scopus, and the Cochrane Central Register of Controlled Trials (CENTRAL), using combined text and Medical Subject Heading (MeSH) terms on March 13, 2019, and updated our search on February 13, 2020 (). The detailed search strategy including MeSH terms used is published on PROSPERO (ID CRD42019119069) [11]. We included studies published from 2011-present, as the first global approval of a SGLT-2i occurred in 2011. No language restrictions were applied.

Study selection

We included randomized controlled trials (RCT) and observational studies, including retrospective or prospective cohort studies, case-control, and self-controlled studies. The included studies enrolled subjects 18 years or older with type 2 diabetes receiving SGLT2i’s compared against other AHAs or placebo. Two authors (JH and LO) independently reviewed titles and abstracts of retrieved studies to identify those that potentially met inclusion criteria. Two team members then retrieved and independently assessed the full text of potentially eligible studies. Disagreements about the eligibility of studies were adjudicated by discussion between the two review team members.

Outcomes extracted

Our primary outcome was risk of lower limb amputation. Secondary outcomes included peripheral arterial disease, peripheral vascular disease, venous ulcerations, and diabetic foot infections. We included studies that reported any of these outcomes as either a primary or secondary outcome with effect estimates such as odds ratios or risk ratios.

Data collection and analysis

We used duplicate extraction, with two study authors (JH and LO) independently extracting relevant study characteristics and outcomes into a standardized form (. In all cases, we extracted study setting, study design, recruitment method, sample size, participant demographics, patient inclusion and exclusion criteria, outcomes and times of measurement, and information for assessment of risk of bias. For observational studies, we also extracted total and median person-time observed by treatment group; outcome event rates; adjusted and unadjusted hazard ratios; and demographic characteristics accounted for in propensity-score matching of treatment and comparator groups. For RCTs, we extracted event counts or event rates to generate odds ratios or relative risks.

Risk of bias assessment

Two independent reviewers (JH and OM) assessed risk of bias based on the methodological quality of the included studies. Risk of bias for the RCTs was assessed using the Cochrane Risk of Bias Tool for Randomized Controlled Trials, which evaluated trials based on the presence or absence of randomization sequence generation, allocation concealment, selective reporting, blinding of participants and personnel, blinding of outcome assessment, incomplete outcome data, and other forms of bias [12]. For observational studies, we used the Newcastle-Ottawa Scale to rate studies on methods of addressing time-varying confounding, baseline confounding, patient selection, classification of outcomes, deviations from the intended intervention, missing data, measurement of outcomes, and selection of reported outcomes [13]. Disagreements about the risk of bias assessment were adjudicated through discussion among the study team. We reached final consensus prior to inclusion.

Data synthesis and analysis

Quantitative synthesis of RCTs

We pooled the results using a random-effects meta-analysis of RCTs, with risk ratios for binary outcomes, and calculated 95% confidence intervals and p-values for each outcome. We also report results using fixed effects which are appropriate when the number of studies is low. We assessed the amount of heterogeneity across the RCTs examined using the I2, a measure of the amount of variation in outcomes due to variance in true effect sizes rather than sampling error. Publication bias was assessed using Funnel plots. All analyses were conducted in RevMan 5.3 [14]. We also conducted some subgroup analysis of RCTs. We conducted meta-analysis evaluating the risk of amputations for each individual SGLT2 inhibitor and the meta-analysis of SGLT2 inhibitors vs placebo in the RCTs.

Qualitative synthesis of observational studies

We synthesized our findings in narrative form organized by study design, comparison group, and safety outcome. We summarized the results of individual studies, describing event rates as well as risk ratios, odds ratios or adjusted hazard ratios (observational studies) for developing the vascular outcomes of interest. In our narrative synthesis we compared all SGLT2i’s, as well as individual SGLT2i’s, to alternative AHAs.

Results

The PRISMA flow sheet for studies is shown in . A total of 2,622 citations were available for screening, and 698 articles were duplicates. One-hundred and seventeen articles remained after title and abstract review, and 30 after full-text screening. We evaluated a total of 12 RCTs () and 18 observational studies (). NR not reported; y years; F female; dis disorder * Demographic data for participants with no amputation SGLT2i’s sodium-glucose cotransporter 2 inhibitors; CVD cardiovascular disease, including non‐fatal myocardial infarction or non‐fatal stroke; GLP-1’s glucagon-like peptide 1 receptor agonist; DPP4-i’s dipeptidyl peptidase 4 inhibitors; MET metformin; TZDs thiazolidinediones; PAD peripheral arterial disease; CLI critical limb ischemia; AHAs antihyperglylcemic agent; LEA lower extremity amputation; PAD peripheral arterial disease; HHF hospitalization for heart failure; LLA lower limb amputation; DKA diabetic ketoacidosis; ACM all-cause mortality; AKI acute kidney injury; UTI urinary tract infection; VTE venous thromboembolism; PVD peripheral vascular disease; BKLE below the knee, lower extremity

Results of RCTs

Study design and characteristics. We included 12 RCTs in our qualitative synthesis. The 12 RCTs included 45,551 participants: 25,593 were randomized to receive an SGLT2 inhibitor, 600 received an alternative treatment, and 19,358 received a placebo (). The trials enrolled from 210 participants to 17,160 participants and ranged in duration from 12 weeks to 8 years. The study design and characteristics of included RCTs are shown in . Four studies examined empagliflozin [15][16][17][18], three studies examined dapagliflozin [19][20][21], two studies examined canagliflozin [22][23], and 1 each examined topogliflozin [24], ertugliflozin [25], and ipragliflozin [26]. Eleven studies used a placebo control and the ertugliflozin study used glimepiride as the control. Five studies, two examining empagliflozin and 1 each examining dapagliflozin, ipragliflozin, and topogliflozin, reported 0 amputation events in both arms and thus seven studies were available for meta-analysis.

Risk of bias of RCTs

Overall, there was little to no evidence of major bias in the included RCTs (). However, reporting of study methodology was often incomplete. For example, the method of randomizing participants was only reported in 7 of 12 RCTs. In cases in which randomization method was not specified, we assumed truly random allocation based on its fundamental and universally recognized importance (“probable yes”). Concealment of the allocation sequence was never reported. Baseline demographic characteristics were uniformly well presented and loss to follow-up was relatively low.

Meta-analysis of the risk of amputation with SGLT2 inhibitors vs controls in RCTs

depicts the meta-analysis examining the association between SGLT2i exposure and lower extremity amputation based on 7 RCTs. The random effects meta-analysis of 7 RCTs suggested the absence of a statistically significant association between SGLT2i exposure with evidence of substantial statistical heterogeneity (n = 424/23,716 vs n = 267/18,737 in controls; RR 1.28, CI’s 0.93–1.76; I2 = 62.0%; p = 0.12) whereas fixed effects analysis showed an increased risk with statistical heterogeneity (RR 1.27, 1.09–1.48; I2 = 62%; p = 0.003). A. Fixed-effects meta-analysis- SGLT2i’s vs. placebo/glimepiride. B. Random-effects meta-analysis- SGLT2i’s vs. placebo/glimepiride.

Subgroup analysis

Subgroup analysis of canagliflozin vs placebo showed a statistically significantly increased risk in a fixed effects meta-analysis (n = 2 RCTs, RR 1.59, 1.26–2.01; I2 = 88%; p = 0.0001) whereas the meta-analysis of dapagliflozin or empagliflozin (n = 2 RCTs each) did not show a significantly increased risk (). Although we present both the results for the fixed and random effect meta-analysis of dapagliflozin, empagliflozin and canagliflozin vs placebo, the fixed effects results are considered most appropriate when number of studies is low (n = 2 for each subgroup). SGLT2i’s sodium-glucose cotransporter 2 inhibitors; No. number; IV inverse variance; RR relative risk Only one study evaluated the risk of SGLT2i vs active comparator and reported no risk [27]. The meta-analysis of remaining 6 placebo-controlled studies showed no significant increased risk of amputations associated with SGLT2 inhibitors in a random effects meta-analysis (RR 1.27,0.91–1.77; I2 = 68%).

Results of observational studies

Study characteristics. Of the 18 observational studies included, 15 were retrospective cohort studies, 2 were prospective cohort studies, and 1 was a case-control study. The studies used claims records of more than 6.4 million individuals; 860,120 (13.3%) of them were classified as new users of SGLT2i’s. The study design and characteristics of included observational studies are shown in .

Risk of bias of observational studies

The included observational studies were of generally good quality (), although 3 lacked a control arm and 2 did not adjust for potential baseline confounding between exposed and non-exposed individuals. The included studies were broadly similar in terms of ascertainment of exposure and assessment of outcomes (i.e. electronic health claims and administrative codes), but varied when it came to representativeness of the exposed cohort. In addition, only 8 studies explicitly assessed and excluded amputation at baseline. Most studies adjusted for confounding; 12 used propensity score matching on a broad array of baseline characteristics, and one matched patients based on a predefined list of baseline factors. In all studies, the length of follow-up observation was relatively sufficient to assess the outcomes of interest.

Qualitative synthesis of observational studies

Eleven examined SGLT2i’s as a class [28][9][8][29][30][31][32][33][34][35][36], 4 examined canagliflozin alone [6][37][38][39], 2 examined empagliflozin alone [46][47], and 1 examined dapagliflozin alone [42]. Comparator products varied significantly among studies, with 6 each using DPP-4 inhibitors (DPP-4i) and GLP-1 agonists (GLP-1a); 3 using all non-SGLT2i’s AHAs combined; 2 using sulfonylureas; 2 using non-use of SGLT2i’s, and 3 with no comparison group and 1 with no testing of inter-group differences. Several studies included multiple comparator classes. Across all 19 reported active-comparator analyses in the 15 studies with a comparator, 6 reported a decreased risk of amputation among SGLT2i users, though level of adjustment, statistical significance, and comparator varied. The adjusted effect estimates of 13 analyses showed an increased risk of amputation; again, significance and comparator varied. Inter-study heterogeneity prevented any meta-analysis of analyses comparing any SGLT2i therapy to a specific comparator.

Secondary outcomes

Randomized controlled trials

None of the included RCTs measured any of the secondary outcomes of interest.

Observational studies

One included study reported on peripheral vascular disease and venous ulcerations, reporting three separate analyses for each [9]. The adjusted HR for incident peripheral vascular disease comparing SGLT2’i vs. DPP-4i’s, GLP-1a’s, and all non-SGLT2i AHAs, respectively, were 0.88 (95% CI 0.79–0.96), 0.95 (95% CI 0.84–1.07), and 1.11 95% CI (1.02–1.22), and for venous ulceration 1.12 (95% CI 0.91–1.39), 0.97 (95% CI 0.75–1.26), and 1.34 (95% CI 1.10–1.61). No studies examined peripheral arterial disease or diabetic foot infections.

Discussion

More than seven years after their market debut in the United States, questions remain regarding the potential association between SLGT2i’s and lower extremity amputation. In this systematic review and meta-analysis, amputation risk varied widely among the studies that were synthesized; data from randomized studies comparing five different SGLT2i’s to placebo or glimepiride indicated a statistically significant elevated amputation risk in one large, long-term trial for canagliflozin only, and a non-significant association overall. Subgroup analysis showed a statistically significantly increased risk for canagliflozin alone. Among observational data, study heterogeneity and potential confounding prevented the conduct of meta-analysis, but we found that two thirds of analyses comparing SGLT-2i products against GLP-1a’s, DPP-4i’s, sulfonylureas and other AHA’s reported an elevated risk of amputation among SGLT-2i’s, though the effect was rarely statistically significant. Taken together, the preponderance of evidence suggested no consistent evidence of association between SGLT2i exposure and increased risk of amputation among adults with type 2 diabetes, though the risk associated with canagliflozin exposure bears further scrutiny. These findings are important given how commonly SGLT2i’s are prescribed, as well as ongoing questions regarding their optimal role in the treatment of a common and costly chronic disease. Our review underscores the heterogeneous literature regarding SGLT2i’s and adverse events such as lower extremity amputation. The studies were diverse with respect to study design, duration, reference product, comparator, and statistical and reporting methods. Although we were unable to combine all studies for meta-analysis due to heterogeneity, we conducted several meta-analyses that included comparisons of the SGLT2i’s class or individual members of that class against placebo, but not GLP-1a’s, DPP-4i’s, sulfonylureas or aggregated non-SGLT2i therapies, to minimize the possibility of confounding by indication and disease severity. In our meta-analyses there were differences between the models due to the effect of smaller studies, which have relatively greater weight in random than fixed effects models. Marked heterogeneity in the included studies argued for use of random effects as primary results [43], except when the number of studies is low, although these may not always provide a conservative estimate of risk [44]. Our findings bear similarities and differences to other meta-analysis on this topic. In additional to the previously referenced meta-analysis [10], two recent meta-analyses of RCTs published in May and September 2019, respectively, found a non-significant increased risk of amputation among three large studies assessing canagliflozin, dapagliflozin, and empagliflozin [45][46]. The overall finding of non-significance in these studies mirrors our own, while in contrast, we were able to meta-analyze the results for three individual products, and our findings were also supplemented by the inclusion of observational studies that similarly were inconclusive in aggregate but also were suggestive an elevated risk for canagliflozin. One important consideration is whether the heterogeneous effect seen in our study may be limited to a particular drug and not a class effect [47]. We found that among discrete SGLT-2i products meta-analyzed using RCT data, only canagliflozin carried a statistically significant elevated risk of amputation compared with placebo treatment. This is important, and bears further scrutiny in future investigations. Similarly, if the risk is limited to those with high baseline CVD such as those enrolled in the Canagliflozin Cardiovascular Assessment Study (CANVAS) program, an individual participant data meta-analysis may provide further information. Studies that evaluate the biological mechanisms that could account for any such risk of SGLT2i’s are also needed. For example, it is unclear whether any increased risk of amputation, should it be present, is due to the diuretic effect of SGLT2i’s; some studies have suggested that diuretics may increase the risk of amputations in patients with type 2 diabetes [48][49]. The potential risks of SGLT2i’s must be balanced with their potential benefits, including improved glycemic control and reduced rate of major adverse cardiovascular events (MACE) as demonstrated for empagliflozin in the BI 10773 [Empagliflozin] Cardiovascular Outcome Event Trial in Type 2 Diabetes Mellitus Patients (EMPA-REG OUTCOME) trial [16], for canagliflozin in the CANVAS program, which included both the CANVAS and CANVAS-RENAL trials, and for dapagliflozin in the Dapagliflozin Effect on Cardiovascular Events–Thrombolysis in Myocardial Infarction (DECLARE-TIMI) trial [20]. Data from these trials suggest significant cardiovascular benefits for individuals with pre-existing CVD. This evidence has led FDA to expand the label for empagliflozin and canagliflozin for use to lower cardiovascular risk in patients with type 2 diabetes and cardiovascular disease [50], and it has shaped practice guidelines that underscore the selection of agents, especially for those with cardiovascular disease, based on their proven ability to reduce major adverse cardiovascular events and/or cardiovascular mortality [51][52]. As with other pharmacologic treatments for diabetes, these features of SGLT2i’s underscore the importance of individualized selection of therapies based on factors including regimen effectiveness, adverse event profile, formulation, therapeutic complexity, cost, and patient preference. Despite its rigor, our study has limitations, some reflecting features of the individual studies that we examined. Although RCTs are the principal means of establishing the efficacy of drugs, they may have limited statistical power to detect infrequent adverse events, such as amputations in real-world patients, which occurs at a rate of 5.0 per 1,000 in individuals with type 2 diabetes [53]. Thus these RCTs are quite susceptible to type 2 error [54]. None of the included trials pre-specified lower extremity amputations as an outcome of ascertainment, rather these data were collected as adverse events, which may result in misclassification of outcomes; any such misclassification is likely to be non-differential and would bias the results towards the null. In addition, we pooled analyses with limited clinical information on patients’ baseline cardiovascular risks, and no individual-level patient data was available to carry out prespecified subgroup analysis based on preexisting CVD status. Also, the studies reflected considerable heterogeneity, preventing more precise estimates of the associations of interest. Our study focused on the peer-reviewed literature, and it is possible that trial registries, grey literature, or other non-peer reviewed, publicly available information might contain additional data relevant to the association between SGLT2i’s, lower extremity amputation, and other cardiovascular events.

Conclusion

Given the elevated incidence of cardiovascular disease among individuals with type 2 diabetes, the cardiovascular risks, and benefits, of pharmacologic treatments for diabetes are of perennial interest and concern. Despite reproducible, well-controlled evidence of significant reductions in major adverse cardiovascular events associated with SGLT2i’s compared with placebo, the association between SGLT2i’s and lower extremity amputation has been much less clear. In this systematic review and meta-analysis, we found no consistent evidence of SGLT2i exposure and increased risk of amputation. The increased risk of amputation observed in the large, long-term CANVAS trial with canagliflozin, and select observational studies, merits further exploration.

Preferred reporting items for systematic reviews and meta-analysis (PRISMA) checklist.

(DOCX) Click here for additional data file.

Search strategy.

(DOCX) Click here for additional data file.

Data extraction form.

(DOCX) Click here for additional data file.

Event counts from included rcts.

(DOCX) Click here for additional data file.

Risk of bias assessment for individual randomized controlled trials according to the cochrane collaboration tool (N = 12 studies).

(DOCX) Click here for additional data file.

Risk of bias assessment of observational studies reporting on SGLT2-inhibitors and lower extremity amputation using the newcastle-ottawa scale (N = 18 studies).

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Risk of bias assessment of randomized controlled trials reporting on SGLT2-inhibitors and lower extremity amputation using the cochrane risk of bias tool (N = 12 studies).

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Table 1

Characteristics of included randomized controlled trials (N = 12).

StudyStudy DurationInterventionIntervention ArmNo. of ParticipantsAge in y (SD)Smokers, %CVD History, %Sex, %Funding
Fioretto P et al., 2018 [19]24 weeksDapagliflozin 10 mgDapagliflozin16065.3 (NR)NRNRF- 43.1AstraZeneca
---------Placebo16166.2 (NR)NRNRF- 43.5
Hollander P et al., 2018 [25]52 weeksErtugliflozin 5mg or 15 mg as an add-on to metformin ≥1500 mg/dayErtugliflozin88858.5 (9.9)NRNRF- 52.7Merck
---------Glimepiride43757.8 (9.2)NRNRF- 48.7
Kashiwagi A et al., 2019 [26]12, 16, or 24 weeksIpragliflozin 50 mgIpragliflozin120958.1 (10.3)NRNRF-39.3Astellas Pharma Co.
------Placebo79657.4 (9.9)NRNRF- 42.6
Kawamori R et al., 2018 [15]52 weeksEmpagliflozin 10 or 25 mg as add-on to linagliptin in fixed-dose combinationEmpagliflozin/ Linagliptin18260.0 (9.9)NRNRF- 22.0Boehringer Ingelheim and Eli Lilly
---------Placebo/Linagliptin9359.8 (10.8)NRNRF- 22.6
Matthews D et al., 2019 [23]*188 weeksCanagliflozin 100 or 300 mgCanagliflozin579063.2 (8.3)17.6%64.4%F- 35.5Janssen
------Placebo434463.5 (8.2)17.9%66.6%F- 37.0
Perkovic V et al. 2019 [22]2.62 yearsCanagliflozin 100 mgCanagliflozin220262.9 (9.2)15.550.5F- 34.6Janssen
---------Placebo219963.0 (9.2)13.650.3F- 33.3
Pollock C et al., 2019 [21]24 weeksDapagliflozin 10 mgDapagliflozin14564.7 (8.6)NR40% cardiac dis, 14% vascular disF- 30%AstraZeneca
---------Placebo14864.7 (8.5)NR28% cardiac dis, 16% vascular disF- 29%
Sone H et al., 2019 [17]52 weeksEmpagliflozin 10 mgEmpagliflozin8658.3 (10)NRNRF- 27%Nippon Boehringer Ingelheim
---------Placebo9059.1 (10.7)NRNRF- 23%
Terauchi Y et al., 2017 [24]52 weeksTofogliflozin 20 mgTofogliflozin-Tofogliflozin14059.1 (10.9)NRNRF- 36.4Sanofi K.K. and Kowa Company
---------Placebo-Tofogliflozin7056.4 (10.0)NRNRF- 31.4
Wiviott S et al., 2018 [20]Up to 6 yearsDapagliflozin 10 mgDapagliflozin858263.9NRNRF- 36.9AstraZeneca
---------Placebo857864.0NRNRF- 37.9
Yabe D et al., 2019 [18]Varies (pooled data 15 trials)Empagliflozin 10 mgEmpagliflozin72458.0 (9.9)NRNRF-31%Boehringer Ingelheim & Eli Lilly & Co. Diabetes Alliance
---------Placebo70958.3 (10.1)NRNRF-37%
Zinman B et al., 2018 [16]Up to 4 yearsEmpagliflozin 10 or 25 mgEmpagliflozin468763.1 (8.6)NRNRF- 28.8Boehringer Ingelheim and Eli Lilly
---------Placebo233363.2 (8.8)NRNRF- 28.0

NR not reported; y years; F female; dis disorder

* Demographic data for participants with no amputation

Table 2

Characteristics of included observational studies (N = 18).

SourceTreatment GroupComparisonParticipant databaseNo. of Participants% CVDSex, %OutcomesEffect Estimate (Amputation)
Adimadhyam S et al, 2018 [28]New use of SGLT-2i’s aloneNew use of DPP-4i’s aloneTruven MarketScan Commercial Claims137,01213.3F- 45.7Any amputation after treatment initiation1.38 (0.83–2.31)
Chang HY et al, 2018 [9]New use of SGLT-2i’s aloneNew use of DPP-4i’s alone, GLP-1’s alone, or sulfonylurea, MET, or TZDsTruven MarketScan Commercial Claims973,9061.72F- 54.1LEA, PAD, CLI, osteomyelitis, ulcer1.50 (0.85–2.67)
Dawwas GK et al, 2019 [8]New use of SGLT-2i’s aloneNew use of sulfonylureas alone or new use of DPP-4i’s aloneTruven MarketScan Commercial Claims1,072,02819.6F- 80.4CVD, HHF, LEA0.88 (0.65–1.15)
Fralick M et al., 2019 [36]New use of canagliflozinNew use of GLP-1 agonistsAdults with T2DM identified using MarketScan, Optum, and Medicare prescription claims databases321,254NRNRLEA1.66 (1.33–2.07) (≥65 years) 1.09 (0.89–1.34) (<65 years)
Kaku K et al., 2020 [40]New use of empagliflozinNoneAdults with T2DM newly initiating empagliflozin treatment7,6187.2F- 36.7LEANo comparator
Kashambwa R et al., 2019 [29]New use of SGLT-2 inhibitorsNew use of DPP-4 inhibitorsT2DM patients identified using TriNetX analytics10,538NRNRAcidosis, acute kidney failure, acute pancreatitis, LLA0.55 (NR) (Risk Ratio)
McGurnaghan SJ et al., 2019 [42]New use of dapagliflozinNever-use of dapagliflozinPatients identified from a nationwide health and administrative register in Scotland.238,876NRF- 44.3CVD, DKA, LLA1.29 (0.71–2.36)
Patorno E et al. 2019 [30]New use of SGLT-2 inhibitorsNew use of GLP-1 agonistsMedicare-insured adults with T2DM88,35840.5F- 54.6Severe hypoglycemia, bone fractures, LLA, DKA1.47 (1.07, 2.04)
Patorno E et al, 2019 (2) [41]New use of empagliflozinNew use of DPP-4 inhibitorsMedicare-insured adults with T2DM35,078NRNRHHF, ACM, LLA, bone fractures, DKA1.12 (0.55–2.30)
Paul S et al., 2019 [31]New use of SGLT-2 inhibitorsNew use of GLP-1 agonists, new use of DPP-4 inhibitors, and new use of other antidiabetes drugsT2DM patients identified using nationally representative primary and ambulatory care EMRs of UK and US1,844,806NRNRAny amputation, LLANo between-groups comparison
Pelaez-Bejarano A et al, 2019 [32]New use of SGLT-2 inhibitorsNoneAdults with T2DM110NRNRLLANo comparator
Ryan PB et al, 2018 [6]New use of canagliflozin aloneNew use of other SGLT-2i’s (empagliflozin or dapagliflozin), and all non-SGLT2i’s (any DPP‐4i’s, GLP‐1’s, TZDs, sulfonylureas, insulin or other AHAs)Truven MarketScan Commercial, Medicaid and Medicare Claims; Optum Insight Datamart1,060,44930.2NRHHF, BKLE1.01 (0.93–1.10)
Sung J et al., 2018 [33]Use of SGLT-2 inhibitorsNon-use of SGLT-2 inhibitorsAdults with T2DM attending a foot-wound clinic in a tertiary hospital in Sydney, Australia.108NRF- 27.8LLA, including minor and major amputations0.70 (0.29–1.71)
Udell JA et al, 2020 [37]New use of canagliflozinNew use of non-SGLT-2 inhibitorsActive or retired service members and dependents using Department of Defense data110,229100F- 43.8ACM, HHF, BKLE amputation1.44 (0.82, 2.52)
Ueda P et al., 2018 [34]New use of SGLT-2 inhibitorsNew use of GLP1 receptor agonistsPatients identified from nationwide health and administrative registers in Sweden and Denmark.48,286NRF- 40.3LLA, bone fracture, DKA, AKI, serious UTI, VTE, acute pancreatitis, toe or metatarsal amputation and to major osteoporotic fracture1.90 (1.25–2.87)
Woo V et al., 2018 [38]New use of canagliflozinSGLT-2 naïve adults with T2DM receiving clinical treatment in Canada.527NRF- 40.9Genital mycotic infections, polyuria, UTE, severe hypoglycemia, volume-related AE, DKA, amputation.No comparator
Yang JY et al., 2019 [35]New use of SGLT-2 inhibitorsNew use of GLP-1 agonists and new use of sulfonylureasCommercially insured adults1196,501NRF- 44.5LEA, tissue and bone debridement, PVD, and diabetic foot ulcer.1.43 (1.01–2.03)
Yuan Z et al, 2018 [39]New use of canagliflozinNew use of non-SGLT-2i’s (DPP-4i’s, GLP-1’s, TZDs, sulfonylureas, insulin or other AHAs) plus standard of careTruven MarketScan Commercial Claims346,190NRF- 44.5BKLE amputation0.98 (0.68–1.41)

SGLT2i’s sodium-glucose cotransporter 2 inhibitors; CVD cardiovascular disease, including non‐fatal myocardial infarction or non‐fatal stroke; GLP-1’s glucagon-like peptide 1 receptor agonist; DPP4-i’s dipeptidyl peptidase 4 inhibitors; MET metformin; TZDs thiazolidinediones; PAD peripheral arterial disease; CLI critical limb ischemia; AHAs antihyperglylcemic agent; LEA lower extremity amputation; PAD peripheral arterial disease; HHF hospitalization for heart failure; LLA lower limb amputation; DKA diabetic ketoacidosis; ACM all-cause mortality; AKI acute kidney injury; UTI urinary tract infection; VTE venous thromboembolism; PVD peripheral vascular disease; BKLE below the knee, lower extremity

Table 3

Subgroup analysis of risk of amputation among individual SGLT2i’s.

No. of studiesNo. of events in SGLT-2i arm/ Total no. of participantsNo. of events in control/ Total no. of participantsIV weighted RR Random effects; I2, %IV weighted RR Fixed effects; I2, %
Empagliflozin vs placebo (Yabe et al [21], Zinman et al [16])289/611943/30421.02 [0.71–1.47]; I2 = 0%1.02 [0.71–1.47]; I2 = 0%
Dapagliflozin vs control (Wiviott et al [20], Pollock et al [21])2124/8719113/87171.09 [0.85–1.41]; I2 = 0%1.09 [0.85–1.41]; I2 = 0%
Canagliflozin vs placebo (Perkovic et al [23], Matthews et al [24])2210/7990110/65411.58 [0.79–3.13]; I2 = 88%1.59 [1.26–2.01]; I2 = 88%
SGLT2 inhibitors vs placebo
SGLT2 inhibitors vs placebo (Yabe et al [18], Zinman et al [16], Wiviott et al [20], Pollock et al [21], Perkovic et al [22], Matthews et al [23])6422/22828267/183001.27 [0.91–1.77]; I2 = 68%1.27 [1.08–1.48]; I2 = 68%

SGLT2i’s sodium-glucose cotransporter 2 inhibitors; No. number; IV inverse variance; RR relative risk

  36 in total

1.  Peripheral artery disease and amputations with Sodium-Glucose co-Transporter-2 (SGLT-2) inhibitors: A meta-analysis of randomized controlled trials.

Authors:  Ilaria Dicembrini; Benedetta Tomberli; Besmir Nreu; Giorgio Iacopo Baldereschi; Fabrizio Fanelli; Edoardo Mannucci; Matteo Monami
Journal:  Diabetes Res Clin Pract       Date:  2019-05-28       Impact factor: 5.602

2.  SGLT2 inhibitors for primary and secondary prevention of cardiovascular and renal outcomes in type 2 diabetes: a systematic review and meta-analysis of cardiovascular outcome trials.

Authors:  Thomas A Zelniker; Stephen D Wiviott; Itamar Raz; Kyungah Im; Erica L Goodrich; Marc P Bonaca; Ofri Mosenzon; Eri T Kato; Avivit Cahn; Remo H M Furtado; Deepak L Bhatt; Lawrence A Leiter; Darren K McGuire; John P H Wilding; Marc S Sabatine
Journal:  Lancet       Date:  2018-11-10       Impact factor: 79.321

3.  Dapagliflozin and Cardiovascular Outcomes in Type 2 Diabetes.

Authors:  Stephen D Wiviott; Itamar Raz; Marc P Bonaca; Ofri Mosenzon; Eri T Kato; Avivit Cahn; Michael G Silverman; Thomas A Zelniker; Julia F Kuder; Sabina A Murphy; Deepak L Bhatt; Lawrence A Leiter; Darren K McGuire; John P H Wilding; Christian T Ruff; Ingrid A M Gause-Nilsson; Martin Fredriksson; Peter A Johansson; Anna-Maria Langkilde; Marc S Sabatine
Journal:  N Engl J Med       Date:  2018-11-10       Impact factor: 91.245

4.  Sodium-Glucose Linked Transporter 2 (SGLT2) Inhibitors in the Management Of Type-2 Diabetes: A Drug Class Overview.

Authors:  Juan F Mosley; Lillian Smith; Emily Everton; Chris Fellner
Journal:  P T       Date:  2015-07

5.  Albuminuria-lowering effect of dapagliflozin alone and in combination with saxagliptin and effect of dapagliflozin and saxagliptin on glycaemic control in patients with type 2 diabetes and chronic kidney disease (DELIGHT): a randomised, double-blind, placebo-controlled trial.

Authors:  Carol Pollock; Bergur Stefánsson; Daniel Reyner; Peter Rossing; C David Sjöström; David C Wheeler; Anna Maria Langkilde; Hiddo J L Heerspink
Journal:  Lancet Diabetes Endocrinol       Date:  2019-04-13       Impact factor: 32.069

6.  Association Between Sodium-Glucose Cotransporter 2 Inhibitors and Lower Extremity Amputation Among Patients With Type 2 Diabetes.

Authors:  Hsien-Yen Chang; Sonal Singh; Omar Mansour; Sheriza Baksh; G Caleb Alexander
Journal:  JAMA Intern Med       Date:  2018-09-01       Impact factor: 21.873

7.  Long-term safety and efficacy of tofogliflozin as add-on to insulin in patients with type 2 diabetes: Results from a 52-week, multicentre, randomized, double-blind, open-label extension, Phase 4 study in Japan (J-STEP/INS).

Authors:  Yasuo Terauchi; Masahiro Tamura; Masayuki Senda; Ryoji Gunji; Kohei Kaku
Journal:  Diabetes Obes Metab       Date:  2018-02-11       Impact factor: 6.577

8.  Efficacy and safety of dapagliflozin in patients with type 2 diabetes and moderate renal impairment (chronic kidney disease stage 3A): The DERIVE Study.

Authors:  Paola Fioretto; Stefano Del Prato; John B Buse; Ronald Goldenberg; Francesco Giorgino; Daniel Reyner; Anna Maria Langkilde; C David Sjöström; Peter Sartipy
Journal:  Diabetes Obes Metab       Date:  2018-07-10       Impact factor: 6.577

9.  Efficacy and safety of empagliflozin as add-on to insulin in Japanese patients with type 2 diabetes: A randomized, double-blind, placebo-controlled trial.

Authors:  Hirohito Sone; Tatsuroh Kaneko; Kosuke Shiki; Yoshifumi Tachibana; Egon Pfarr; Jisoo Lee; Naoko Tajima
Journal:  Diabetes Obes Metab       Date:  2019-12-20       Impact factor: 6.577

10.  Safety of Ipragliflozin in Patients with Type 2 Diabetes Mellitus: Pooled Analysis of Phase II/III/IV Clinical Trials.

Authors:  Atsunori Kashiwagi; Marina V Shestakova; Yuichiro Ito; Masahiro Noguchi; Wim Wilpshaar; Satoshi Yoshida; John P H Wilding
Journal:  Diabetes Ther       Date:  2019-10-12       Impact factor: 2.945

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  10 in total

1.  Major adverse cardiovascular and limb events in people with diabetes treated with GLP-1 receptor agonists vs SGLT2 inhibitors.

Authors:  Donna Shu-Han Lin; An-Li Yu; Hao-Yun Lo; Cheng-Wei Lien; Jen-Kuang Lee; Wen-Jone Chen
Journal:  Diabetologia       Date:  2022-08-09       Impact factor: 10.460

Review 2.  Beyond the Glycaemic Control of Dapagliflozin: Impact on Arterial Stiffness and Macroangiopathy.

Authors:  José M González-Clemente; María García-Castillo; Juan J Gorgojo-Martínez; Alberto Jiménez; Ignacio Llorente; Eduardo Matute; Cristina Tejera; Aitziber Izarra; Albert Lecube
Journal:  Diabetes Ther       Date:  2022-06-10       Impact factor: 3.595

Review 3.  Therapeutic angiogenesis-based strategy for peripheral artery disease.

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Journal:  Theranostics       Date:  2022-06-27       Impact factor: 11.600

4.  Intramuscular injection of sotagliflozin promotes neovascularization in diabetic mice through enhancing skeletal muscle cells paracrine function.

Authors:  Lai-Liu Luo; Jing-Xuan Han; Shou-Rong Wu; Vivi Kasim
Journal:  Acta Pharmacol Sin       Date:  2022-03-15       Impact factor: 7.169

5.  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.

Authors:  Chun-Xing Li; Shuo Liang; Lingyan Gao; Hua Liu
Journal:  PLoS One       Date:  2021-02-19       Impact factor: 3.240

Review 6.  Adverse events associated with sodium glucose co-transporter 2 inhibitors: an overview of quantitative systematic reviews.

Authors:  Ryan Pelletier; Kelvin Ng; Wajd Alkabbani; Youssef Labib; Nicolas Mourad; John-Michael Gamble
Journal:  Ther Adv Drug Saf       Date:  2021-01-26

7.  SGLT2 inhibitors and lower limb complications: an updated meta-analysis.

Authors:  Chu Lin; Xingyun Zhu; Xiaoling Cai; Wenjia Yang; Fang Lv; Lin Nie; Linong Ji
Journal:  Cardiovasc Diabetol       Date:  2021-04-28       Impact factor: 9.951

Review 8.  Management of diabetic foot ulcers and the challenging points: An endocrine view.

Authors:  Hakan Doğruel; Mustafa Aydemir; Mustafa Kemal Balci
Journal:  World J Diabetes       Date:  2022-01-15

Review 9.  Advances for the treatment of lower extremity arterial disease associated with diabetes mellitus.

Authors:  Yang Pan; Yuting Luo; Jing Hong; Huacheng He; Lu Dai; Hong Zhu; Jiang Wu
Journal:  Front Mol Biosci       Date:  2022-08-17

10.  Major adverse cardiovascular and limb events in patients with diabetes and concomitant peripheral artery disease treated with sodium glucose cotransporter 2 inhibitor versus dipeptidyl peptidase-4 inhibitor.

Authors:  Hsin-Fu Lee; Shao-Wei Chen; Jia-Rou Liu; Pei-Ru Li; Lung-Sheng Wu; Shang-Hung Chang; Yung-Hsin Yeh; Chi-Tai Kuo; Yi-Hsin Chan; Lai-Chu See
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