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      SGLT-2 receptor inhibitors for treating patients with type 2 diabetes mellitus: a systematic review and network meta-analysis

      systematic-review
      1 , 2 , 3
      BMJ Open
      BMJ Publishing Group
      SGLT2 inhibitors, type 2 diabetes

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          Abstract

          Objective

          Because of the lack of head-to-head trials, the aim was to indirectly compare sodium glucose transporter-2 (SGLT-2) inhibitors in the treatment of type 2 diabetes.

          Design

          Systematic review and network meta-analysis.

          Data sources

          MEDLINE and EMBASE were searched from January 2005 to January 2015.

          Eligibility criteria

          Randomised controlled trials assessing the efficacy of SGLT-2 inhibitors in patients with type 2 diabetes inadequately controlled with diet and exercise alone or metformin monotherapy. Minimum duration 24 weeks. Indirect comparison was undertaken using Bayesian methods.

          Results

          In monotherapy, a greater proportion of patients achieved a glycated haemoglobin (HbA1c) level of <7% on canagliflozin 300 mg than on canagliflozin 100 mg (risk ratio (RR) 0.72%, 95% credible intervals (CrI) 0.59% to 0.87%) and dapagliflozin 10 mg (RR 0.63, 95% CrI 0.48 to 0.85) but there were no significant differences compared with either dose of empagliflozin. In monotherapy, canagliflozin 300 mg reduced HbA1c more than other SGLT-2 inhibitors (mean difference ranged from 0.20% to 0.64%). There were no significant differences in weight reduction. All the flozins reduced systolic blood pressure (SBP) more than placebo, ranging from a reduction of 6 mm Hg with canagliflozin 300–2.6 mm Hg with empagliflozin 10 mg. In dual therapy with metformin, all flozins were more effective than placebo for achieving HbA1c <7%, and reducing HbA1c, weight and SBP. The proportions achieving HbA1c level of <7% were mostly similar. Canagliflozin 300 mg reduced HbA1c more than the other drugs but this just reached statistical significance only against canagliflozin 100 mg (MD 0.15, CrI 0.04 to 0.26).

          Conclusions

          There were few differences among the SGLT-2 inhibitors, but in monotherapy, the glucose-lowering effect of canagliflozin 300 mg is slightly greater than most other SGLT-2 inhibitors.

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          Most cited references14

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          Effects of dapagliflozin on body weight, total fat mass, and regional adipose tissue distribution in patients with type 2 diabetes mellitus with inadequate glycemic control on metformin.

          Dapagliflozin, a selective sodium-glucose cotransporter 2 (SGLT2) inhibitor, reduces hyperglycemia in patients with type 2 diabetes mellitus (T2DM) by increasing urinary glucose excretion, and weight loss is a consistent associated finding. Our objectives were to confirm weight loss with dapagliflozin and establish through body composition measurements whether weight loss is accounted for by changes in fat or fluid components. This was a 24-wk, international, multicenter, randomized, parallel-group, double-blind, placebo-controlled study with ongoing 78-wk site- and patient-blinded extension period at 40 sites in five countries. Included were 182 patients with T2DM (mean values: women 63.3 and men 58.6 yr of age; hemoglobin A1c 7.17%, body mass index 31.9 kg/m2, and body weight 91.5 kg) inadequately controlled on metformin. Dapagliflozin 10 mg/d or placebo was added to open-label metformin for 24 wk. Primary endpoint was total body weight (TBW) change from baseline at wk 24. Key secondary endpoints were waist circumference and dual-energy x-ray absorptiometry total-body fat mass (FM) changes from baseline at wk 24, and patient proportion achieving body weight reduction of at least 5% at wk 24. In a subset of patients, magnetic resonance assessment of visceral adipose tissue (VAT) and sc adipose tissue (SAT) volume and hepatic lipid content were also evaluated. At wk 24, placebo-corrected changes with dapagliflozin were as follows: TBW, -2.08 kg [95% confidence interval (CI)=-2.84 to -1.31; P<0.0001]; waist circumference, -1.52 cm (95% CI=-2.74 to -0.31; P=0.0143); FM, -1.48 kg (95% CI=-2.22 to -0.74; P=0.0001); proportion of patients achieving weight reduction of at least 5%, +26.2% (95% CI=15.5 to 36.7; P<0.0001); VAT, -258.4 cm3 (95% CI=-448.1 to -68.6; nominal P=0.0084); SAT, -184.9 cm3 (95% CI=-359.7 to -10.1; nominal P=0.0385). In the dapagliflozin vs. placebo groups, respectively, serious adverse events were reported in 6.6 vs. 1.1%; events suggestive of vulvovaginitis, balanitis, and related genital infection in 3.3 vs. 0%; and lower urinary tract infections in 6.6 vs. 2.2%. Dapagliflozin reduces TBW, predominantly by reducing FM, VAT and SAT in T2DM inadequately controlled with metformin.
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            Euglycemic Diabetic Ketoacidosis: A Potential Complication of Treatment With Sodium–Glucose Cotransporter 2 Inhibition

            OBJECTIVE Sodium–glucose cotransporter 2 (SGLT-2) inhibitors are the most recently approved antihyperglycemic medications. We sought to describe their association with euglycemic diabetic ketoacidosis (euDKA) in hopes that it will enhance recognition of this potentially life-threatening complication. RESEARCH DESIGN AND METHODS Cases identified incidentally are described. RESULTS We identified 13 episodes of SGLT-2 inhibitor–associated euDKA or ketosis in nine individuals, seven with type 1 diabetes and two with type 2 diabetes, from various practices across the U.S. The absence of significant hyperglycemia in these patients delayed recognition of the emergent nature of the problem by patients and providers. CONCLUSIONS SGLT-2 inhibitors seem to be associated with euglycemic DKA and ketosis, perhaps as a consequence of their noninsulin-dependent glucose clearance, hyperglucagonemia, and volume depletion. Patients with type 1 or type 2 diabetes who experience nausea, vomiting, or malaise or develop a metabolic acidosis in the setting of SGLT-2 inhibitor therapy should be promptly evaluated for the presence of urine and/or serum ketones. SGLT-2 inhibitors should only be used with great caution, extensive counseling, and close monitoring in the setting of type 1 diabetes.
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              Evaluation of inconsistency in networks of interventions.

              The assumption of consistency, defined as agreement between direct and indirect sources of evidence, underlies the increasingly popular method of network meta-analysis. No evidence exists so far regarding the extent of inconsistency in full networks of interventions or the factors that control its statistical detection. In this paper we assess the prevalence of inconsistency from data of 40 published networks of interventions involving 303 loops of evidence. Inconsistency is evaluated in each loop by contrasting direct and indirect estimates and by employing an omnibus test of consistency for the entire network. We explore whether different effect measures for dichotomous outcomes are associated with differences in inconsistency, and evaluate whether different ways to estimate heterogeneity affect the magnitude and detection of inconsistency. Inconsistency was detected in from 2% to 9% of the tested loops, depending on the effect measure and heterogeneity estimation method. Loops that included comparisons informed by a single study were more likely to show inconsistency. About one-eighth of the networks were found to be inconsistent. The proportions of inconsistent loops do not materially change when different effect measures are used. Important heterogeneity or the overestimation of heterogeneity was associated with a small decrease in the prevalence of statistical inconsistency. The study suggests that changing the effect measure might improve statistical consistency, and that an analysis of sensitivity to the assumptions and an estimator of heterogeneity might be needed before reaching a conclusion about the absence of statistical inconsistency, particularly in networks with few studies.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2016
                24 February 2016
                : 6
                : 2
                : e009417
                Affiliations
                [1 ]Warwick Medical School , Coventry, UK
                [2 ]Division of Health Sciences, Centre for Applied Health Research and Delivery (WCAHRD), Warwick Medical School , Coventry, UK
                [3 ]Public Health Medicine and Health Technology Assessment Warwick Medical School , Coventry, UK
                Author notes
                [Correspondence to ] Professor Norman Waugh; norman.waugh@ 123456warwick.ac.uk
                Article
                bmjopen-2015-009417
                10.1136/bmjopen-2015-009417
                4769433
                26911584
                c0a21e25-5daa-440c-9bc8-a61206a7e825
                Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

                This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

                History
                : 17 July 2015
                : 11 November 2015
                Categories
                Diabetes and Endocrinology
                Research
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                1694

                Medicine
                sglt2 inhibitors,type 2 diabetes
                Medicine
                sglt2 inhibitors, type 2 diabetes

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