A network meta-analysis for efficacy and safety of seven regimens in the treatment of type II diabetes

Dapagliflozin Versus Vildagliptin as an Adjuvant to Metformin in Patients With Type 2 Diabetes Mellitus: A Randomized, Open-label Study

INTRODUCTION

The rising burden of diabetes mellitus led to the development of novel drugs like dapagliflozin and vildagliptin. Their efficacies in chronic diabetic patients have been thoroughly studied. However, there is a paucity of comparative studies on these drugs in newly diagnosed diabetic patients. The endpoints of our study were changes in glycated hemoglobin (HbA1c), fasting blood glucose (FBG), and postprandial blood glucose (PPBG) at 24 weeks from baseline.

METHODS

This randomized, open-label, 24-week study was conducted at Kalinga Institute of Medical Sciences, Bhubaneswar, India, from January 2021 to November 2022. The participants were randomized in a 1:1 ratio to receive tablets of either dapagliflozin 10mg once daily or vildagliptin 50mg once daily as an add-on to metformin 500-2000 mg. The analyses were performed in the per-protocol population. We used R software v. 4.1.1 (R Foundation, Indianapolis, IN) for data analysis.

RESULTS

114 (83.8%) of 136 enrolled participants completed this study. The mean age of the study population was 41.08±5.17 years. Additionally, 52 (45.6%) of them were females. The mean changes in HbA1c from baseline were -1.19 (95% CI: -1.36 to -1.03) and -1.28 (95% CI: -1.37 to -1.18) in dapagliflozin and vildagliptin groups, respectively (p=0.21). The median changes in FBG and PPBG in both groups were -38.76, -46.13 (p=0.07), and -51.84, -53.56 (p=0.14), respectively.

CONCLUSIONS

Reductions in HbA1c, FBG, and PPBG with add-on treatment of vildagliptin were more pronounced than dapagliflozin after a 24-week intervention. However, the differences were not statistically significant.

Efficacy and safety of dapagliflozin plus saxagliptin vs monotherapy as added to metformin in patients with type 2 diabetes: A meta-analysis

BACKGROUND

This study aim at evaluating the efficacy and safety of dapagliflozin plus saxagliptin vs monotherapy as added to metformin in patients with type 2 diabetes mellitus (T2DM).

METHOD

PubMed, Cochrane library, Embase, CNKI and Wanfang databases were searched up to 31 December 2019. Randomized controlled trials (RCTs) applicable in dapagliflozin plus saxagliptin vs monotherapy as added to metformin in the treatment of T2DM were included. The outcomes included changes in HbA1c, FPG, body weight, SBP, DBP and adverse reactions. Fixed or random effects model were used to assess these outcomes.

RESULTS

In this study, 8 RCTs involved 7346 patients were included. Compared with dapagliflozin plus metformin(DM) group, patients treated with dapagliflozin plus saxagliptin add on to metformin(DSM) could significantly increase the adjusted mean change levels of HbA1c, FPG, SBP and DBP(P < .00001, SMD = -4.88, 95%CI = -6.93∼-2.83; P < .00001, SMD = -6.50, 95%CI = -8.55∼-4.45; P < .00001, SMD = -0.97, 95%CI = -1.15∼-0.78; P < .00001, SMD = -2.00, 95%CI = -2.20∼-1.80), but no major difference in body weight loss showed(P = .12, SMD = 0.92, 95%CI = -0.22∼2.06). Furthermore, DSM therapy displayed better effects than saxagliptin plus metformin(SM) in the adjusted mean change levels of HbA1c, FPG, body weight and SBP(P < .00001, SMD = -7.75, 95%CI = -8.84∼-6.66; P < .00001, SMD = -7.75, 95%CI = -8.84∼-6.66; P = .04, SMD = -3.40, 95%CI = -6.64∼-0.17; P = .04, SMD = -7.75, 95%CI = -8.84∼-6.66), whereas no obvious difference in lowering DBP(P = .18, SMD = -16.35, 95%CI = -40.12∼7.41). Additionally, compared with DM and SM groups, there were no remarkable difference in the incidence of nausea, influenza, headache, diarrhea, urinary tract infection and renal failure for patients taking DSM, but the incidence of genital infection and hypoglycemia were higher in DSM group.

CONCLUSIONS

Patients taking the DSM therapy had better effects in reducing the level of HbA1c, FPG, body weight, SBP and DBP than the DM and SM therapy. However, patients treated with DSM therapy are more likely to have hypoglycemia and genital infection. Dapagliflozin plus saxagliptin may be a suitable therapy strategy for patients with T2DM inadequately controlled with metformin, and this will provide a clinical reference for the treatment of T2DM.

Glucagon-like peptide 1 agonists for treatment of patients with type 2 diabetes who fail metformin monotherapy: systematic review and meta-analysis of economic evaluation studies

OBJECTIVES

To conduct a systematic review and meta-analysis and to pool the incremental net benefits (INBs) of glucagon-like peptide 1 (GLP1) compared with other therapies in type 2 diabetes mellitus (T2DM) after metformin monotherapy failure.

RESEARCH DESIGN AND METHODS

The study design is a systematic review and meta-analysis. We searched MEDLINE (via PubMed), Scopus and Tufts Registry for eligible cost-utility studies up to June 2018, adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline. We conducted a systematic review and pooled the INBs of GLP1s compared with other therapies in T2DM after metformin monotherapy failure. Various monetary units were converted to purchasing power parity, adjusted to 2017 US$. The INBs were calculated and then pooled across studies, stratified by level of country income; a random-effects model was used if heterogeneity was present, and a fixed-effects model if it was absent. Heterogeneity was assessed using Q test and I² statistic.

RESULTS

A total of 56 studies were eligible, mainly from high-income countries (HICs). The pooled INBs of GLP1s compared with dipeptidyl peptidase-4 inhibitor (DPP4i) (n=10), sulfonylureas (n=6), thiazolidinedione (TZD) (n=3), and insulin (n=23) from HICs were US$4012.21 (95% CI US$-571.43 to US$8595.84, I²=0%), US$3857.34 (95% CI US$-7293.93 to US$15 008.61, I²=45.9%), US$37 577.74 (95% CI US$-649.02 to US$75 804.50, I²=92.4%) and US$14 062.42 (95% CI US$8168.69 to US$19 956.15, I²=86.4%), respectively. GLP1s were statistically significantly cost-effective compared with insulins, but not compared with DPP4i, sulfonylureas, and TZDs. Among GLP1s, liraglutide was more cost-effective compared with lixisenatide, but not compared with exenatide, with corresponding pooled INBs of US$4555.09 (95% CI US$3992.60 to US$5117.59, I²=0) and US$728.46 (95% CI US$-1436.14 to US$2893.07, I²=0), respectively.

CONCLUSION

GLP1 agonists are a cost-effective choice compared with insulins, but not compared with DPP4i, sulfonylureas and TZDs.

PROSPERO REGISTRATION NUMBER

CRD42018105193.

Adipose Tissue Macrophage Phenotypes and Characteristics: The Key to Insulin Resistance in Obesity and Metabolic Disorders

Obesity is one of the most serious global health problems, with an incidence that increases yearly and coincides with the development of a variety of associated comorbidities (e.g., type 2 diabetes, nonalcoholic fatty liver disease, some immune-related disorders). Although many studies have investigated the pathogenesis of overweight and obesity, multiple regulatory factors underlying the onset of obesity-related metabolic disorders remain elusive. Macrophages contribute to modulation of obesity-related inflammation and insulin resistance (IR); adipose tissue macrophages are particularly important in this context. Based on newly identified links between the chemokine system and obesity, macrophage polarization has become an essential target of new therapies for obesity-related IR. The findings of multiple studies imply that variations in gut microbiota and its metabolites might contribute to the regulation of obesity and related metabolic disorders. Recently, several novel antidiabetic drugs, applied as treatment for weight loss, were shown to be effective for obesity-induced IR and other comorbidities. The present review will discuss the properties and functions of macrophages in adipose tissue under conditions of obesity from three perspectives: the chemokine system, the gut microbiota, and antidiabetic drug application. It is proposed that macrophages might be a key therapeutic target for obesity-induced complications.

Conducting and interpreting results of network meta-analyses in type 2 diabetes mellitus: A review of network meta-analyses that include sodium glucose co-transporter 2 inhibitors

AIMS

Network meta-analyses (NMAs) are valuable ways to generate comparative effectiveness data for therapies available to treat type 2 diabetes mellitus (T2DM). This review assesses NMAs that evaluate sodium glucose co-transporter 2 (SGLT2) inhibitors for treatment of T2DM and discusses potential issues in conducting and interpreting NMAs.

METHODS

A systematic literature search was conducted on September 13, 2018 using the search terms "network meta-analysis," "SGLT2," variations of these terms, and individual SGLT2 inhibitor names. Extracted data included NMA objectives, methods, target populations, treatments, study endpoints, length of follow-up, and funding. Differences between NMAs were investigated.

RESULTS

Thirty-five full-length publications met criteria for inclusion. In most NMAs, the target population was defined by therapeutic regimen (e.g., combination with metformin). Follow-up intervals permitted in NMAs varied considerably (range, 4-208 weeks). Twenty-nine NMAs included dapagliflozin, 28 evaluated canagliflozin, and 27 evaluated empagliflozin. Nine NMAs used frequentist methods; 16 used Bayesian methods. Six NMAs were funded by pharmaceutical manufacturers. Heterogeneity across NMAs was seen in scope, time frame, and other aspects of analytic design.

CONCLUSIONS

Although this review indicates that methodological guidelines for reporting NMAs were generally followed, it also emphasizes the need for T2DM-specific guidance requiring clear reporting of NMA scope and objectives to aid appropriate interpretation and use of NMA results.