Skip to main content
Top

08-18-2018 | Medications | Article

Comparison of Oral Antidiabetic Drugs as Add-On Treatments in Patients with Type 2 Diabetes Uncontrolled on Metformin: A Network Meta-Analysis

Journal: Diabetes Therapy

Authors: Dan Qian, Tiantian Zhang, Peiying Zheng, Zhuoru Liang, Sen Wang, Jingmei Xie, Lina Zhao, Ying Zhang, Bing Situ

Publisher: Springer Healthcare

Abstract

We assessed the efficacy and safety of oral antidiabetic drugs (OADs) as an add-on treatment in patients with type 2 diabetes uncontrolled on metformin. PubMed, the Cochrane Library, and Embase were searched from inception to October 20, 2017. Pairwise and network meta-analyses were conducted using Stata 14.1 software. Odds ratios (ORs) and weighted mean differences (WMDs) were used to evaluate outcomes. Sixty-eight trials including 36,746 patients were analyzed. No significant differences in the risk of major adverse cardiovascular events (MACEs) and all-cause mortality were observed among any class of OADs when combined with metformin. All classes of OADs as add-ons to metformin improved glucose control, while sodium-glucose co-transporter-2 (SGLT-2) inhibitors showed greater fasting plasma glucose (FPG) reductions {WMD, − 1.49 [95% confidence interval (CI) − 1.69 to − 1.28] mmol/l} and 2 h postprandial glucose (2 h PPG) reductions [WMD, − 3.07 (95% CI − 4.12 to − 2.03) mmol/l]. Thiazolidinediones and sulfonylureas were associated with weight gain [WMD, 2.53 (95% CI 1.95–3.10) kg and 2.00 (95% CI 1.63–2.36) kg, respectively] when added to metformin. Sulfonylureas [WMD, 6.52 (95% CI 4.07–10.45)] were associated with the highest ORs of hypoglycemia. Our results suggest that the seven classes of OADs were not associated with any increased risk of MACEs or all-cause mortality when combined with metformin. Most OADs were associated with similarly large reductions in HbA1c levels when added to metformin, while SGLT-2 inhibitors might be the best option for reducing body weight, FPG, and 2-h PPG.
Literature
1.
Defronzo RA. Banting Lecture. From the triumvirate to the ominous octet: a new paradigm for the treatment of type 2 diabetes mellitus. Diabetes. 2009;58:773–95.CrossRefPubMedPubMedCentral
2.
Prasad R, Groop L. Genetics of type 2 diabetes—pitfalls and possibilities. Genes (Basel). 2015;6:87–123.CrossRef
3.
International Diabetes Federation. IDF diabetes atlas, 8th edition. http://​www.​diabetesatlas.​org/​across-the-globe.​html. Accessed 15 Nov 2017.
4.
Inzucchi SE, Bergenstal RM, Buse JB, et al. Management of hyperglycemia in type 2 diabetes, 2015: a patient-centered approach: update to a position statement of the American Diabetes Association and the European Association for the Study of Diabetes. Diabetes Care. 2015;382015:140–9.CrossRef
5.
Eizirik DL, et al. 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: response to Nathan et al. Diabetes Care. 2009;32:e35–6.CrossRefPubMed
6.
International Diabetes Federation Guideline Development Group. Global guideline for type 2 diabetes. Diabetes Res Clin Pract. 2014;104:1–52.
7.
Ganesan P, Arulselvan P, Choi D. Phytobioactive compound-based nanodelivery systems for the treatment of type 2 diabetes mellitus—current status. Int J Nanomed. 2017;12:1097–111.CrossRef
8.
Li J, Gong Y, Li C, Lu Y, Liu Y, Shao Y. Long-term efficacy and safety of sodium-glucose cotransporter-2 inhibitors as add-on to metformin treatment in the management of type 2 diabetes mellitus. Medicine (Baltimore). 2017;96:e7201.CrossRefPubMedPubMedCentral
9.
Jansen JP, Trikalinos T, Cappelleri JC, et al. Indirect treatment comparison/network meta-analysis study questionnaire to assess relevance and credibility to inform health care decision making: an ISPOR-AMCP-NPC Good Practice Task Force report. Value Health. 2014;17:157–73.CrossRefPubMed
10.
Higgins J, Altman D, Gotzsche P, et al. The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ. 2011;343:d5928.CrossRefPubMedPubMedCentral
11.
DerSimonian R, Laird N. Meta-analysis in clinical trials revisited. Contemp Clin Trials. 2015;45:139–45.CrossRefPubMedPubMedCentral
12.
Guyatt G, Oxman A, Kunz R, et al. GRADE guidelines: 7. Rating the quality of evidence—inconsistency. J Clin Epidemiol. 2011;64:1294–302.CrossRefPubMed
13.
Lu G, Ades A. Combination of direct and indirect evidence in mixed treatment comparisons. Stat Med. 2004;23:3105–24.CrossRefPubMed
14.
Chaimani A, Higgins J, Mavridis D, Spyridonos P, Salanti G. Graphical tools for network meta-analysis in STATA. PLoS One. 2013;8:e76654.CrossRefPubMedPubMedCentral
15.
White I, Barrett J, Jackson D, Higgins JP. Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regression. Res Synth Methods. 2012;3:111–25.CrossRefPubMedPubMedCentral
16.
Salanti G. Indirect and mixed-treatment comparison, network, or multiple-treatments meta-analysis: many names, many benefits, many concerns for the next generation evidence synthesis tool. Res Synth Methods. 2012;3:80–97.CrossRefPubMed
17.
Salanti G, Ades A, Ioannidis J. Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial. J Clin Epidemiol. 2011;64:163–71.CrossRefPubMed
18.
Keus F, Wetterslev J, Gluud C, Gooszen HG, van Laarhoven CJ. Robustness assessments are needed to reduce bias in meta-analyses that include zero-event randomized trials. Am J Gastroenterol. 2009;104:546–51.CrossRefPubMed
19.
Veroniki A, Vasiliadis H, Higgins J, Salanti G. Evaluation of inconsistency in networks of interventions. Int J Epidemiol. 2013;42:919.CrossRefPubMedCentral
20.
Song F. Validity of indirect comparison for estimating efficacy of competing interventions: empirical evidence from published meta-analyses. BMJ. 2003;326:472.CrossRefPubMedPubMedCentral
21.
Higgins J, Jackson D, Barrett J, Lu G, Ades A, White I. Consistency and inconsistency in network meta-analysis: concepts and models for multi-arm studies. Res Synth Methods. 2012;3:98–110.CrossRefPubMedPubMedCentral
22.
Egger M, Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315:629–34.CrossRefPubMedPubMedCentral
23.
Barnett K, Ogston S, McMurdo M, Morris A, Evans J. A 12-year follow-up study of all-cause and cardiovascular mortality among 10,532 people newly diagnosed with type 2 diabetes in Tayside, Scotland. Diabet Med. 2010;27:1124–9.CrossRefPubMed
24.
Vaccaro O. Impact of diabetes and previous myocardial infarction on long-term survival: 25-year mortality follow-up of primary screenees of the multiple risk factor intervention trial. Arch Intern Med. 2004;164:1433–8.
25.
Palmer SC, Mavridis D, Nicolucci A, et al. Comparison of clinical outcomes and adverse events associated with glucose-lowering drugs in patients with type 2 diabetes. JAMA. 2016;316:313.CrossRefPubMed
26.
Wu JHY, Foote C, Blomster J, et al. Effects of sodium-glucose cotransporter-2 inhibitors on cardiovascular events, death, and major safety outcomes in adults with type 2 diabetes: a systematic review and meta-analysis. Lancet Diabetes Endocrinol. 2016;4:411–9.CrossRefPubMed
27.
Saad M, Mahmoud AN, Elgendy IY, et al. Cardiovascular outcomes with sodium–glucose cotransporter-2 inhibitors in patients with type II diabetes mellitus: a meta-analysis of placebo-controlled randomized trials. Int J Cardiol. 2017;228:352–8.CrossRefPubMed
28.
Zinman B, Wanner C, Lachin JM, et al. Empagliflozin, cardiovascular outcomes, and mortality in type 2 diabetes. N Engl J Med. 2015;373:2117–28.CrossRefPubMed
29.
Tang H, Fang Z, Wang T, Cui W, Zhai S, Song Y. Meta-analysis of effects of sodium-glucose cotransporter 2 inhibitors on cardiovascular outcomes and all-cause mortality among patients with type 2 diabetes mellitus. Am J Cardiol. 2016;118:1774–80.CrossRefPubMed
30.
American Diabetes Association. 8. Pharmacologic approaches to glycemic treatment. Diabetes Care. 2017;40:S64–74.
31.
Neal B, Perkovic V, Mahaffey KW, et al. Canagliflozin and cardiovascular and renal events in type 2 diabetes. N Engl J Med. 2017;377:644–57.CrossRefPubMed
32.
NLM. ClinicalTrials.gov: CANVAS—CANagliflozin cardioVascular Assessment Study (CANVAS). https://​clinicaltrials.​gov/​ct2/​show/​NCT01032629. Accessed 25 Oct 2017.
33.
NLM. ClinicalTrials.gov: Multicenter Trial to Evaluate the Effect of Dapagliflozin on the Incidence of Cardiovascular Events (DECLARE-TIMI58). https://​clinicaltrials.​gov/​ct2/​show/​NCT01730534. Accessed 16 Oct 2017.
34.
NLM. ClinicalTrials.gov: Cardiovascular Outcomes Following Ertugliflozin Treatment in Type 2 Diabetes Mellitus Participants With Vascular Disease, The VERTIS CV Study (MK-8835-004). https://​clinicaltrials.​gov/​ct2/​show/​NCT01986881. Accessed 5 Nov 2017.
35.
Drucker DJ, Nauck MA. The incretin system: glucagon-like peptide-1 receptor agonists and dipeptidyl peptidase-4 inhibitors in type 2 diabetes. Lancet. 2006;368:1696–705.CrossRefPubMed
36.
Holst JJ, Windelov JA, Boer GA. Searching for the physiological role of glucose-dependent insulinotropic polypeptide. J Diabetes Investig. 2016;7(Suppl Suppl 1):8–12.CrossRefPubMedPubMedCentral
37.
Yanagimachi T, Fujita Y, Takeda Y, et al. Dipeptidyl peptidase-4 inhibitor treatment induces a greater increase in plasma levels of bioactive GIP than GLP-1 in non-diabetic subjects. Mol Metab. 2017;6:226–31.CrossRefPubMed
38.
Sharma A, Paliwal G, Upadhyay N, Tiwari A. Therapeutic stimulation of GLP-1 and GIP protein with DPP-4 inhibitors for type-2 diabetes treatment. J Diabetes Metab Disord. 2015;14:15.CrossRefPubMedPubMedCentral
39.
Zhang Z, Chen X, Lu P, et al. Incretin-based agents in type 2 diabetic patients at cardiovascular risk: compare the effect of GLP-1 agonists and DPP-4 inhibitors on cardiovascular and pancreatic outcomes. Cardiovasc Diabetol. 2017;16:31.CrossRefPubMedPubMedCentral
40.
Wang W, Zhou X, Kwong JSW, et al. Efficacy and safety of thiazolidinediones in diabetes patients with renal impairment: a systematic review and meta-analysis. Sci Rep. 2017;7:1717.CrossRefPubMedPubMedCentral
41.
Lincoff AM, Wolski K, Nicholls SJ, Nissenal SE. Pioglitazone and risk of cardiovascular events in patients with type 2 diabetes mellitus: a meta-analysis of randomized trials. JAMA. 2007;298:1180–8.CrossRefPubMed
42.
Singh S, Loke YK, Furberg CD. Long-term risk of cardiovascular events with rosiglitazone: a meta-analysis. JAMA. 2007;298:1189–95.CrossRefPubMed
43.
White WB, Cannon CP, Heller SR, et al. Alogliptin after acute coronary syndrome in patients with type 2 diabetes. N Engl J Med. 2013;369:1327–35.CrossRefPubMed
44.
Vaccaro O, Masulli M, Nicolucci A. Effects on the incidence of cardiovascular events of the addition of pioglitazone versus sulfonylureas in patients with type 2 diabetes inadequately controlled with metformin (TOSCA.IT): a randomised, multicentre trial. Lancet Diabetes Endocrinol. 2007;5:887–97.CrossRef
45.
NLM. ClinicalTrials.gov: Cardiovascular Outcomes in Participants with Type 2 Diabetes Mellitus (T2DM). https://​clinicaltrials.​gov/​ct2/​show/​NCT03249506. Accessed 27 Oct 2017.
46.
Zhang R, Reisin E. Obesity-hypertension: the effects on cardiovascular and renal systems. Am J Hypertens. 2000;13:1308–14.CrossRefPubMed
47.
Eeg-Olofsson K, Cederholm J, Nilsson PM, et al. Risk of cardiovascular disease and mortality in overweight and obese patients with type 2 diabetes: an observational study in 13,087 patients. Diabetologia. 2009;52:65–73.CrossRefPubMed
48.
Fujioka K, Seaton TB, Rowe E, et al. Weight loss with sibutramine improves glycaemic control and other metabolic parameters in obese patients with type 2 diabetes mellitus. Diabetes Obes Metab. 2000;2:175–87.CrossRefPubMed
49.
Zaccardi F, Webb DR, Htike ZZ, Youssef D, Khunti K, Davies MJ. Efficacy and safety of sodium-glucose co-transporter-2 inhibitors in type 2 diabetes mellitus: systematic review and network meta-analysis. Diabetes Obes Metab. 2016;18:783–94.CrossRefPubMed

Be confident that your patient care is up to date

Medicine Matters is being incorporated into Springer Medicine, our new medical education platform. 

Alongside the news coverage and expert commentary you have come to expect from Medicine Matters diabetes, Springer Medicine's complimentary membership also provides access to articles from renowned journals and a broad range of Continuing Medical Education programs. Create your free account »