A systematic review and mixed-treatment comparison of dapagliflozin with existing anti-diabetes treatments for those with type 2 diabetes mellitus inadequately controlled by sulfonylurea monotherapy

Michelle Orme, Peter Fenici, Isabelle Duprat Lomon, Gail Wygant, Rebecca Townsend, Marina Roudaut, Michelle Orme, Peter Fenici, Isabelle Duprat Lomon, Gail Wygant, Rebecca Townsend, Marina Roudaut

Abstract

Background: To compare the first-in-class sodium glucose co-transporter 2 (SGLT2) inhibitor, dapagliflozin, with existing type 2 diabetes mellitus (T2DM) treatment options available within the European Union (EU) for add-on therapy to sulfonylureas (SUs).

Methods: A systematic review was conducted to identify randomised controlled trials (RCTs) in T2DM patients inadequately controlled by SU monotherapy. Direct meta-analysis, Bucher indirect comparisons and Bayesian network meta-analysis (NMA) were conducted on studies meeting predefined inclusion criteria. Sufficient data were available to assess three clinical endpoints at 24 (+/- 6) weeks follow-up: mean change in HbA1c from baseline, mean change in weight from baseline, and the proportion of patients experiencing at least one episode of hypoglycaemia. The effect of confounding baseline factors was explored through covariate analyses.

Results: The search identified 1,901 unique citations, with 1,870 excluded based on title/abstract. From reviewing full-texts of the remaining 31 articles, 5 studies were considered eligible for analysis. All studies were comparable in terms of baseline characteristics, including: HbA1c, age and body mass index (BMI). In addition to dapagliflozin, sufficient data for meta-analysis was available for three dipeptidyl peptidase-4 (DPP-4) inhibitors and one glucagon-like peptide-1 (GLP-1) analogue. Based on fixed-effect NMA, all treatment classes resulted in statistically significant decreases in HbA1c at follow-up compared to placebo. Dapagliflozin treatment resulted in significantly decreased weight at follow-up compared to placebo (-1.54 kg; 95% CrI -2.16, -0.92), in contrast to treatment with GLP-1 analogues (-0.65 kg; 95% CrI -1.37, 0.07) and DPP-4 inhibitors (0.57 kg; 95% CrI 0.09, 1.06). The odds of hypoglycaemia were similar to placebo for dapagliflozin and DPP-4 inhibitor add-on treatment, but significantly greater than placebo for GLP-1 analogue add-on treatment (10.89; 95% CrI 4.24, 38.28). Assessment of NMA model heterogeneity was hindered by the small size of the network.

Conclusions: Dapagliflozin, DPP-4 inhibitors and GLP-1 analogues, in combination with SU, all provided better short-term glycaemic control compared to SU monotherapy. Dapagliflozin was the only add-on therapy that had both a favourable weight and hypoglycaemia profile compared to the other classes of treatment evaluated.

Keywords: Dapagliflozin; Diabetes; Mixed treatment comparison; Network meta-analysis; Systematic review.

Figures

Figure 1
Figure 1
Flow diagram of study selection (systematic review).
Figure 2
Figure 2
Network diagram for studies meeting criteria for inclusion in the meta-analysis.
Figure 3
Figure 3
Direct meta-analysis forest plots versus placebo-control. A) HbA1c weighted mean difference, B) weight (kg) weighted mean difference, C) hypoglycaemia odds ratio; CI, confidence interval; DPP-4, dipeptidyl peptidase-4 inhibitors; GLP-1, glucagon-like peptide-1 analogues; N, number of patients; OR, odds ratio; SD, standard deviation; SGLT2, sodium glucose co-transporter 2 inhibitors; WMD, weighted mean difference.
Figure 4
Figure 4
Sensitivity analysis across different meta-analysis models. A) HbA1c, weighted mean difference, B) weight (kg), weighted mean difference, C) hypoglycaemia odds ratio; DPP-4, dipeptidyl peptidase-4 inhibitors; direct, direct meta-analysis; FE, fixed-effect; GLP-1, glucagon-like peptide-1 analogues; NMA, network meta-analysis; OR, odds ratio; RE, random-effects; SGLT2, sodium glucose co-transporter 2 inhibitors; WMD, weighted mean difference.

References

    1. American Diabetes Association. Economic costs of diabetes in the U.S. in 2012. Diabetes Care. 2013;36(4):1033–1046.
    1. Hex N, Bartlett C, Wright D, Taylor M, Varley D. Estimating the current and future costs of type 1 and type 2 diabetes in the UK, including direct health costs and indirect societal and productivity costs. Diabet Med. 2012;29(7):855–862.
    1. Wang YC, McPherson K, Marsh T, Gortmaker SL, Brown M. Health and economic burden of the projected obesity trends in the USA and the UK. Lancet. 2011;378(9793):815–825.
    1. Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care. 2004;27(5):1047–1053.
    1. Mathers CD, Loncar D. Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med. 2006;3(11):e442.
    1. Federation ID. The IDF Diabetes Atlas. 5 2012.
    1. American Diabetes Association. Standards of medical care in diabetes–2012. Diabetes Care. 2012;35(Suppl 1):S11–63.
    1. Nathan DM, Buse JB, Davidson MB, Ferrannini E, Holman RR, Sherwin R, Zinman B. American Diabetes Association. European association for study of D: medical management of hyperglycemia in type 2 diabetes: a consensus algorithm for the initiation and adjustment of therapy: a consensus statement of the American diabetes association and the European association for the study of diabetes. Diabetes Care. 2009;32(1):193–203.
    1. American Diabetes Association. Standards of medical care in diabetes–2013. Diabetes Care. 2013;36(Suppl 1):S11–66.
    1. Diabetes Control and Complications Trial Research Group. The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N Engl J Med. 1993;329(14):977–986.
    1. UK prospective diabetes study (UKPDS) group. Effect of intensive blood-glucose control with metformin on complications in overweight patients with type 2 diabetes (UKPDS 34) Lancet. 1998;352(9131):854–865.
    1. UK prospective diabetes study (UKPDS) group. Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33) Lancet. 1998;352(9131):837–853.
    1. Inzucchi SE, Bergenstal RM, Buse JB, Diamant M, Ferrannini E, Nauck M, Peters AL, Tsapas A, Wender R, Matthews DR. American Diabetes Association (ADA), European Association for the Study of Diabetes (EASD) Management of hyperglycemia in type 2 diabetes: a patient-centered approach: position statement of the American diabetes association (ADA) and the European association for the study of diabetes (EASD) Diabetes Care. 2012;35(6):1364–1379.
    1. Degli Esposti L, Saragoni S, Buda S, Sturani A, Degli Esposti E. Glycemic control and diabetes-related health care costs in type 2 diabetes; retrospective analysis based on clinical and administrative databases. Clinicoecon Outcomes Res. 2013;5:193–201.
    1. National Collaborating Centre for Chronic Conditions, Centre for Clinical Practice at the National Institute for Health and Care Excellence. NICE Clinical Guideline 87, Type 2 diabetes: the management of type 2 diabetes. 2009. .
    1. Sweileh WM. Contraindications to metformin therapy among patients with type 2 diabetes mellitus. Pharm World Sci. 2007;29(6):587–592.
    1. Barnett AH, Cradock S, Fisher M, Hall G, Hughes E, Middleton A. Key considerations around the risks and consequences of hypoglycaemia in people with type 2 diabetes. Int J Clin Pract. 2010;64(8):1121–1129.
    1. Hauber AB, Mohamed AF, Johnson FR, Falvey H. Treatment preferences and medication adherence of people with type 2 diabetes using oral glucose-lowering agents. Diabet Med. 2009;26(4):416–424.
    1. Pi-Sunyer FX. The impact of weight gain on motivation, compliance, and metabolic control in patients with type 2 diabetes mellitus. Postgrad Med. 2009;121(5):94–107.
    1. Alvarez Guisasola F, Tofe Povedano S, Krishnarajah G, Lyu R, Mavros P, Yin D. Hypoglycaemic symptoms, treatment satisfaction, adherence and their associations with glycaemic goal in patients with type 2 diabetes mellitus: findings from the real-life effectiveness and care patterns of diabetes management (RECAP-DM) study. Diabetes Obes Metab. 2008;10(Suppl 1):25–32.
    1. Wing RR, Lang W, Wadden TA, Safford M, Knowler WC, Bertoni AG, Hill JO, Brancati FL, Peters A, Wagenknecht L. Look AHEAD Research Group. Benefits of modest weight loss in improving cardiovascular risk factors in overweight and obese individuals with type 2 diabetes. Diabetes Care. 2011;34(7):1481–1486.
    1. Komoroski B, Vachharajani N, Boulton D, Kornhauser D, Geraldes M, Li L, Pfister M. Dapagliflozin, a novel SGLT2 inhibitor, induces dose-dependent glucosuria in healthy subjects. Clin Pharmacol Ther. 2009;85(5):520–526.
    1. List JF, Whaley JM. Glucose dynamics and mechanistic implications of SGLT2 inhibitors in animals and humans. Kidney Int Suppl. 2011;120:S20–27.
    1. Bolinder J, Ljunggren O, Kullberg J, Johansson L, Wilding J, Langkilde AM, Sugg J, Parikh S. 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. J Clin Endocrinol Metab. 2012;97(3):1020–1031.
    1. Henry RR, Murray AV, Marmolejo MH, Hennicken D, Ptaszynska A, List JF. Dapagliflozin, metformin XR, or both: initial pharmacotherapy for type 2 diabetes, a randomised controlled trial. Int J Clin Pract. 2012;66(5):446–456.
    1. Bailey CJ, Gross JL, Hennicken D, Iqbal N, Mansfield TA, List JF. Dapagliflozin add-on to metformin in type 2 diabetes inadequately controlled with metformin: a randomized, double-blind, placebo-controlled 102-week trial. BMC Med. 2013;11:43.
    1. Bailey CJ, Gross JL, Pieters A, Bastien A, List JF. Effect of dapagliflozin in patients with type 2 diabetes who have inadequate glycaemic control with metformin: a randomised, double-blind, placebo-controlled trial. Lancet. 2010;375(9733):2223–2233.
    1. Ferrannini E, Ramos SJ, Salsali A, Tang W, List JF. Dapagliflozin monotherapy in type 2 diabetic patients with inadequate glycemic control by diet and exercise: a randomized, double-blind, placebo-controlled, phase 3 trial. Diabetes Care. 2010;33(10):2217–2224.
    1. Nauck MA, Del Prato S, Meier JJ, Duran-Garcia S, Rohwedder K, Elze M, Parikh SJ. Dapagliflozin versus glipizide as add-on therapy in patients with type 2 diabetes who have inadequate glycemic control with metformin: a randomized, 52-week, double-blind, active-controlled noninferiority trial. Diabetes Care. 2011;34(9):2015–2022.
    1. Rosenstock J, Vico M, Wei L, Salsali A, List JF. Effects of dapagliflozin, an SGLT2 inhibitor, on HbA(1c), body weight, and hypoglycemia risk in patients with type 2 diabetes inadequately controlled on pioglitazone monotherapy. Diabetes Care. 2012;35(7):1473–1478.
    1. Strojek K, Yoon KH, Hruba V, Elze M, Langkilde AM, Parikh S. Effect of dapagliflozin in patients with type 2 diabetes who have inadequate glycaemic control with glimepiride: a randomized, 24-week, double-blind, placebo-controlled trial. Diabetes Obes Metab. 2011;13(10):928–938.
    1. Wilding JP, Woo V, Soler NG, Pahor A, Sugg J, Rohwedder K, Parikh S. Dapagliflozin 006 Study Group. Long-term efficacy of dapagliflozin in patients with type 2 diabetes mellitus receiving high doses of insulin: a randomized trial. Ann Intern Med. 2012;156(6):405–415.
    1. Jansen J, Fleurence R, Devine B, Itzler R, Barrett A, Hawkins N, Lee K, Boersma C, Annemans L, Cappelleri JC. Interpreting indirect treatment comparisons and network meta-analysis for health-care decision making: report of the ISPOR task force on indirect treatment comparisons good research practices: part 1. Value Health. 2011;14:417–428.
    1. Dias S, Welton NJ, Sutton AJ, Ades AE. NICE DSU Technical Support Document 2: A Generalised Linear Modelling Framework for Pairwise and Network Meta-analysis of Randomised Controlled Trials. 2011. .
    1. National Institute for Health and Care Excellence. Guide to the methods of technology appraisal. 2013. .
    1. Caldwell DM, Ades AE, Higgins JP. Simultaneous comparison of multiple treatments: combining direct and indirect evidence. BMJ. 2005;331(7521):897–900.
    1. Lu G, Ades AE. Combination of direct and indirect evidence in mixed treatment comparisons. Stat Med. 2004;23(20):3105–3124.
    1. Sutton A, Ades AE, Cooper N, Abrams K. Use of indirect and mixed treatment comparisons for technology assessment. Pharmacoeconomics. 2008;26(9):753–767.
    1. Salanti G, Higgins JP, Ades AE, Loannidis JP. Evaluation of networks of randomized trials. Stat Methods Med Res. 2008;17(3):279–301.
    1. Salanti G, Marinho V, Higgins JP. A case study of multiple-treatments meta-analysis demonstrates that covariates should be considered. J Clin Epidemiol. 2009;62(8):857–864.
    1. European Medicines Agency Committee for Medicinal Products for Human Use (CHMP) Guideline on clinical investigation of medicinal products in the treatment or prevention of diabetes mellitus. 2012. .
    1. Gershell L. Type 2 diabetes market. Nat Rev Drug Discov. 2005;4(5):367–368.
    1. Inzucchi SE, McGuire DK. New drugs for the treatment of diabetes part II: incretin-based therapy and beyond. Circulation. 2008;117(4):574–584.
    1. Higgins J, Green S, editor. The Cochrane Collaboration. Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0. 2011. .
    1. The Cochrane Collaboration. Section 8.5: The Cochrane Handbook. The Cochrane Collaboration’s tool for assessing risk of bias. Volume 5.1.0. Edited by Higgins J, Green S; 2011. .
    1. Bucher HC, Guyatt GH, Griffith LE, Walter SD. The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials. J Clin Epidemiol. 1997;50(6):683–691.
    1. Eckermann S, Coory M, Willan AR. Indirect comparison: relative risk fallacies and odds solution. J Clin Epidemiol. 2009;62(10):1031–1036.
    1. The Cochrane Collaboration. Section 16.1.3.2: The Cochrane Handbook. Imputing standard deviations for changes from baseline. Volume 5.1.0. Edited by Higgins J, Green S; 2011. .
    1. Harris R, Bradburn M, Deeks J, Harbord R, Altman D, Sterne J. metan: fixed- and random-effects meta-analysis. Stata J. 2008;8(1):3–28.
    1. Harris R, Bradburn M, Deeks J, Harbord R, Altman D, Sterne J. Software updates (sbe24_3) Stata J. 2008;9(2):327.
    1. Glenny AM, Altman DG, Song F, Sakarovitch C, Deeks JJ, D’Amico R, Bradburn M, Eastwood AJ. Indirect comparisons of competing interventions. Health Technol Assess. 2005;9(26):1–134. iii-iv.
    1. WinBUGS with DoodleBUGS version 1.4.
    1. Lunn D, Jackson C, Best N, Thoams A. D S: 8.6.4: DIC for model comparison. The BUGS Book - A Practical Introduction to Bayesian Analysis. London, UK: CRC Press/Chapman and Hall; 2013.
    1. The BUGS project. DIC: Deviance Information Criterion. Cambridge: MRC Biostatistics Unit; 1996–2012.
    1. Hasselblad V. Meta-analysis of multitreatment studies. Med Decis Making. 1998;18(1):37–43.
    1. Gelman A. Prior distributions for variance parameters in heirarchical models. Bayesian Anal. 2006;1(3):515–533.
    1. NICE DSU Technical Support Document 5: Evidence synthesis in the baseline natural history model. .
    1. DeFronzo RA, Stonehouse AH, Han J, Wintle ME. Relationship of baseline HbA1c and efficacy of current glucose-lowering therapies: a meta-analysis of randomized clinical trials. Diabet Med. 2010;27(3):309–317.
    1. Mavian AA, Miller S, Henry RR. Managing type 2 diabetes: balancing HbA1c and body weight. Postgrad Med. 2010;122(3):106–117.
    1. Dias S, Sutton AJ, Welton NJ, Ades AE. NICE DSU Technical Support Document 3: Heterogeneity: subgroups, meta-regression, bias and bias-adjustment. 2011. .
    1. Buse JB, Henry RR, Han J, Kim DD, Fineman MS, Baron AD. Exenatide-113 Clinical Study Group. Effects of exenatide (exendin-4) on glycemic control over 30 weeks in sulfonylurea-treated patients with type 2 diabetes. Diabetes Care. 2004;27(11):2628–2635.
    1. Garber AJ, Foley JE, Banerji MA, Ebeling P, Gudbjornsdottir S, Camisasca RP, Couturier A, Baron MA. Effects of vildagliptin on glucose control in patients with type 2 diabetes inadequately controlled with a sulphonylurea. Diabetes Obes Metab. 2008;10(11):1047–1056.
    1. Hermansen K, Kipnes M, Luo E, Fanurik D, Khatami H, Stein P, Sitagliptin Study G. Efficacy and safety of the dipeptidyl peptidase-4 inhibitor, sitagliptin, in patients with type 2 diabetes mellitus inadequately controlled on glimepiride alone or on glimepiride and metformin. Diabetes Obes Metab. 2007;9(5):733–745.
    1. Lewin AJ, Arvay L, Liu D, Patel S, von Eynatten M, Woerle HJ. Efficacy and tolerability of linagliptin added to a sulfonylurea regimen in patients with inadequately controlled type 2 diabetes mellitus: an 18-week, multicenter, randomized, double-blind, placebo-controlled trial. Clin Ther. 2012;34(9):1909–1919. e1915.
    1. Clar C, Gill JA, Court R, Waugh N. Systematic review of SGLT2 receptor inhibitors in dual or triple therapy in type 2 diabetes. BMJ open. 2012;2(5):e001007.
    1. Musso G, Gambino R, Cassader M, Pagano G. A novel approach to control hyperglycemia in type 2 diabetes: sodium glucose co-transport (SGLT) inhibitors: systematic review and meta-analysis of randomized trials. Ann Med. 2012;44(4):375–393.
    1. Alves C, Batel-Marques F, Macedo AF. A meta-analysis of serious adverse events reported with exenatide and liraglutide: acute pancreatitis and cancer. Diabetes Res Clin Pract. 2012;98(2):271–284.
    1. Amori RE, Lau J, Pittas AG. Efficacy and safety of incretin therapy in type 2 diabetes: systematic review and meta-analysis. JAMA. 2007;298(2):194–206.
    1. Brown DX, Evans M. Choosing between GLP-1 receptor agonists and DPP-4 inhibitors: a pharmacological perspective. J Nutr Metab. 2012;2012:381713.
    1. Dicker D. DPP-4 inhibitors: impact on glycemic control and cardiovascular risk factors. Diabetes Care. 2011;34(Suppl 2):S276–278.
    1. Gooßen K, Gräber S. Longer term safety of dipeptidyl peptidase-4 inhibitors in patients with type 2 diabetes mellitus: systematic review and meta-analysis. Diabet Obes Metab. 2012;14:1061–1072.
    1. Schade DS, Jovanovic L, Schneider J. A placebo-controlled, randomized study of glimepiride in patients with type 2 diabetes mellitus for whom diet therapy is unsuccessful. J Clin Pharmacol. 1998;38(7):636–641.
    1. Zimmerman BR. Sulfonylureas. Endocrinol Metab Clin N Am. 1997;26(3):511–522.
    1. Dias S, Welton NJ, Sutton AJ, Ades AE. NICE DSU Technical Support Document 1: Introduction to evidence synthesis for decision making. 2011.

Source: PubMed

3
Sottoscrivi