The efficacy and safety of dapagliflozin combined with oral hypoglycemic agents in patients with type 2 diabetes: a systematic review and meta-analysis
Introduction
As we all know that the chronic and macrovascular were normal symptoms found in the patients with diabetes, who’s life was seriously influenced (1). At the same time, the life expectancies of patients with diabetes were less than normal people. These patients were more likely to suffer from such diseases including cardiovascular disease and cognitive impairment (2). With the development and improvement of medical level, the great progress had been made in the treatment of patients with type 2 diabetes (3). From the perspective of pharmacological methods, the means of treating diabetes have been continuously developed. As an effective drug for treating diabetes, the glucagon-like peptide 1 (GLP-1) receptor agonists (4) and the sodium-glucose co-transporter-2 (SGLT2) inhibitors (5-7) had been gradually studied and developed by scholars. The drugs of dapagliflozin (8), canagliflozin (9), empagliflozin (10) and ipragliflozin (11) were used or studied as SGLT2 inhibitors.
The patients treated with SGLT2 inhibitors were found with the reduction of renal glucose excretion and the levels of plasma glucose, followed with an increasing levels of urinary glucose excretion. It was reported that the β-cell insulin secretion and sensitivity could be raised by the glycosuria caused by controlling SGLT2.
Dapagliflozin (8,12,13), a representative SGLT2 inhibitor, inhibits kidney glucose re-absorption and promotes urine glucose excretion. However, there are few large studies of dapagliflozin in combination with other hypoglycemic agents to treat patients with type 2 diabetes.
We present the following article in accordance with the PRISMA reporting checklist (14) (available at https://apm.amegroups.com/article/view/10.21037/apm-22-121/rc).
Methods
Search strategy
All studies were retrieved using a literature search of PubMed, the Cochrane Library and Embase from 1990 to 2021. Dapagliflozin, diabetes, oral hypoglycemic agents, meta-analysis, and randomized controlled trial (RCT) were used as keywords to perform the search strategy. The other electronic database search strategies were established on this basis of the PubMed search strategy. The selected studies were limited to RCTs that were published in English.
Study selection
The inclusion criteria of each study were conducted on the basis of PICOS (population, interventions, comparator, outcomes, and study design) categories. The study could be enrolled in this meta-analysis which covered the terms of PICOS: the type of study was a RCT; the subjects were adults with type 2 diabetes; the intervention in the experimental group was dapagliflozin combined with other oral hypoglycemic agents, whereas the intervention in the control group was placebo combined with other oral hypoglycemic agent or placebo alone; changes in hemoglobin A1c (HbA1c), body weight, and fasting plasma glucose (FPG) were used to evaluate the efficacy of dapagliflozin in combination with hypoglycemic agents; and the incidences of hypoglycemia, urinary tract infection and genital infection were investigated on patients who were treated with dapagliflozin combined with other oral hypoglycemic agents.
The criteria for exclusion were as follows: patients in the study were given dapagliflozin alone; duplicate studies; and studies where important data were not available.
Data extraction
Two researchers independently screened the literature, extracted data and made cross-comparisons. If there was a disagreement, the two researchers discussed it, and the results were confirmed through consultation with a third investigator. The first step in literature screening was to read the topic and eliminate obvious irrelevance. Meanwhile, the acceptance of the study was determined by further reading the abstract and full text. The data extracted by researchers from each study were as follows: publication data (source of publication, study title, first author, and year), baseline characteristics of each study (sample size, age, weight, HbA1c, FPG), patient interventions (oral hypoglycemic agents, treatment duration), main evaluation indicators (change in weight, HbA1c, FPG in patients before and after treatment), and adverse events (hypoglycemia, urinary tract infection and genital infection). We tried to select studies using the same dose of dapagliflozin combined with oral hypoglycemic agent treatment for statistical analysis.
Statistical analysis
All statistical analyses were performed with the Review Manager statistical software package (Version 5.3). Continuous variables were presented as the mean difference (mean difference, MD), and categorical variables were presented as the hazard ratio (risk ratio, RR), and each effect size was estimated using a 95% CI. The heterogeneity between the included study results was analyzed by the χ2 test (the test level was α=0.1), and the heterogeneity size was measured quantitatively as the I2. When the statistical heterogeneity was not found between the study results, we would use the fixed effect models to conduct the meta-analysis. When the statistical heterogeneity was found among the findings, we would perform the further analysis to look for the reasons of heterogeneity, and the random effects model was used to show the results after removing the effects of apparent clinical heterogeneity. Significant clinical heterogeneity was treated using descriptive analysis only. The risk of bias assessment was performed using the RCT risk of bias assessment tool as recommended by the Cochrane manual 5.1.0 (15).
Results
study characteristics
A total of 584 relevant documents were obtained from the preliminary examination. According to our inclusion criteria, after layer-by-layer screening, 15 RCTs (16-30) were considered to be appropriate for inclusion in the meta-analysis: 7 RCTs (16-20,22,28) that studied the influence of dapagliflozin combined with metformin; 4 RCTs (25-28) that studied the influence of dapagliflozin combined with insulin; 3 RCTs (20,21,23) that studied the influence of dapagliflozin combined with exenatide; and 1 RCT (30) that studied the influence of dapagliflozin combined with metformin or insulin. The searching process of studies and results were shown in Figure 1. The studies’ basic characteristics were described in Table 1.
Table 1
Studies included | Age (y) (ave) | Interventions | Intervention time (weeks) | |||
---|---|---|---|---|---|---|
Experimental | Control | Experimental | Control | |||
O. Ljunggren 2012 | 60.6±8.2 | 60.8±6.9 | Dapagliflozin + Metformin | Placebo + Metformin | 50 | |
R. R. Henry 2012 | 51.0±10.1 | 52.7±10.4 | Dapagliflozin + Metformin | Placebo + Metformin | 24 | |
Robert R. Henry 2018 | 56.0±6.9 | 53.2±10.7 | Dapagliflozin + Metformin | Placebo + Metformin | 4 | |
Robert R. Henry 2018 | 57.7±7.3 | 60.4±7.1 | Dapagliflozin + Insulin | Placebo + Insulin | 4 | |
Serge A. Jabbour 2018 | 54.2 | 54.2 | Dapagliflozin + Exenatide | Placebo + Exenatide | 52 | |
Wenying Yang 2016 | 54.6±9.5 | 53.5±9.2 | Dapagliflozin + Metformin | Placebo + Metformin | 24 | |
Wenying Yang 2018 | 56.5±8.14 | 58.6±8.9 | Dapagliflozin + Insulin | Placebo + Insulin | 24 | |
Clifford J. Bailey 2010 | 52.7±9.9 | 53.7±10.3 | Dapagliflozin+ Metformin | Placebo | 24 | |
Clifford J. Bailey 2013 | 52.7±9.9 | 53.7±10.3 | Dapagliflozin + Metformin | Placebo + Metformin | 102 | |
J. Bolinder 2014 | 60.6±8.2 | 60.8±6.9 | Dapagliflozin + Metformin | Placebo + Metformin | 102 | |
Jan Bolinder 2012 | 60.6±8.2 | 60.8±6.9 | Dapagliflozin + Metformin | Placebo + Metformin | 24 | |
John P. H. Wilding 2009 | 55.7±9.2 | 58.4±6.5 | Dapagliflozin + Insulin | Placebo + Insulin | 12 | |
John P. H. Wilding 2012 | 59.3±8.8 | 58.8±8.6 | Dapagliflozin + Insulin | Placebo + Insulin | 48 | |
John P. H. Wilding 2014 | 59.3±8.8 | 58.8±8.6 | Dapagliflozin + Insulin | Placebo + Insulin | 104 | |
Juan P. Frías 2018 | ≥65 | ≥65 | Dapagliflozin + Exenatide | Placebo + Exenatide | 28 | |
Juan P. Frías 2016 | ≥65 | ≥65 | Dapagliflozin + Exenatide | Placebo + Exenatide | 28 |
Data are n (%) or means ± SD, unless otherwise indicated. RCTs, randomized controlled trials.
Methodological quality
Studies selected in this meta-analysis were all placebo-controlled, double-blind trials, all of which reported the inclusion criteria.
HbA1c changes
A total of 15 RCTs with 3,943 patients were included to compare the difference in HbA1c between the dapagliflozin and placebo groups. The meta-analysis results of the random effects model showed that the changes in HbA1c in the dapagliflozin group were greater than those in the placebo group, indicating that dapagliflozin can reduce the HbA1c level of patients more effectively (MD =−0.46, 95% CI: −0.58 to −0.34, P<0.00001). Meanwhile, subgroup analysis was performed by the type of combination hypoglycemic agent. The results showed that compared with placebo, dapagliflozin combined with metformin (MD =−0.45, 95% CI: −0.61 to −0.29, P<0.00001), insulin (MD =−0.59, 95% CI: −0.83 to −0.36, P<0.00001), or exenatide (MD =−0.26, 95% CI: −0.53 to 0.01, P<0.00001) showed a significant reduction in the level of HbA1c (Figure 2).
FPG changes
A total of 8 RCTs (16,17,19,20,22,25,26,28) with 2,217 patients were included to compare the difference in FPG between the dapagliflozin and placebo groups. The meta-analysis of the random effects model showed that the changes in FPG in the dapagliflozin group were greater than those in the placebo group, indicating that dapagliflozin can reduce the FPG levels in patients more effectively (MD =−0.77, 95% CI: −1.19 to −0.36, P<0.00001). Moreover, a subgroup analysis was performed according to the type of combined hypoglycemic agents. The results showed that compared with placebo, dapagliflozin combined with metformin (MD =−0.94, 95% CI: −0.99 to −0.90, P<0.00001), insulin (MD =−0.66, 95% CI: −1.38 to 0.06, P<0.00001), or exenatide (MD =−0.08, 95% CI: −0.14 to −0.02) showed a significant reduction in the level of FPG (Figure 3).
Weight changes
A total of 13 RCTs (16-20,22-29) with 3,722 patients were included to compare the weight differences between the dapagliflozin and placebo groups. The meta-analysis of the random effects model showed that the changes in weight in the dapagliflozin group were greater than those in the placebo group, indicating that dapagliflozin can reduce the weight levels of patients more effectively (MD =−1.95, 95% CI: −2.13 to −1.77, P<0.00001). Moreover, a subgroup analysis was performed according to the type of combined hypoglycemic agents. The results showed that compared with placebo, dapagliflozin combined with metformin (MD =−2.06, 95% CI: −2.34 to −1.77, P<0.00001), insulin (MD =−1.99, 95% CI: −2.50 to −1.48, P<0.00001), or exenatide (MD =−1.87, 95% CI: −2.21 to −1.53, P<0.00001) showed a significant reduction in the change of weight (Figure 4).
Incidence of adverse events
A total of 12 RCTs (16-20,22,23,25,26,28-30) with 3,651 patients reported the occurrence of hypoglycemic events during treatment. The meta-analysis of the fixed effects model showed that there was no significant difference in the incidence of hypoglycemic events between the dapagliflozin and placebo groups (RR =1.04, 95% CI: 0.93 to 1.17, P=0.49) (Table 2).
Table 2
Test index | Number of studies included | Heterogeneity test | Effect of the model | Results of the meta-analysis | ||
---|---|---|---|---|---|---|
P value | I2 value | RR (95% CI) | P value | |||
Genital infection | 7 | 0.93 | 0% | Fixed | 3.74 (2.35, 5.96) | <0.00001 |
Urinary tract infection | 10 | 0.55 | 0% | Fixed | 1.44 (1.06, 1.95) | 0.02 |
Hypoglycemia | 12 | 0.86 | 0% | Fixed | 1.04 (0.93, 1.17) | 0.49 |
RR, risk ratio; 95% CI, 95% confidence interval; P value, probability value.
A total of 10 RCTs (16-20,25,26,28-30) with 2,797 patients reported the occurrence of urinary tract infection during treatment. The meta-analysis of the fixed effects model showed that the incidence of urinary tract infection in the dapagliflozin group was significantly higher than that in the placebo group (RR =1.44, 95% CI: 1.06 to 1.95, P=0.02) (Table 2).
A total of 7 RCTs (18-20,23,25-27) with 2,109 patients reported the occurrence of genital infection during treatment. The meta-analysis of the fixed effects model showed that the incidence of genital infection in the dapagliflozin group was significantly higher than that in the placebo group (RR =3.74, 95% CI: 2.35 to 5.96, P<0.00001) (Table 2).
Publication bias
The publication bias test was performed by using the outcomes HbAlc, FPG and weight to draw a funnel plot. There was left and right asymmetry between each study point, which indicated that there may be publication bias in these studies (Figure 5).
Discussion
HbA1c is an indicator used to evaluate long-term glycemic control and is an important basis for guiding the clinical adjustment of treatment programs (31). HbA1c reflects the average levels of blood glucose over the past 2–3 months. HbA1c has been recommended as a biomarker for the detection and monitoring of diabetes mellitus, especially type 2 diabetes mellitus (31,32). The results of this meta-analysis showed that dapagliflozin can reduce HbA1c levels more effectively than placebo. We performed a subgroup analysis according to the combined type of hypoglycemic agents, and the results suggested that dapagliflozin in combination with metformin, insulin, or exenatide outperformed all three monotherapies in reducing HbA1c levels. This result may be due to a synergistic effect that was caused by the combination of dapagliflozin and other oral hypoglycemic agents acting on different targets. The hypoglycemic mechanism of dapagliflozin is independent of insulin secretion, which can prevent drug resistance and islet function decline caused by the overstimulated secretion of pancreatic β cells (8) and may potentially protect the function of β cells. Thus, dapagliflozin could be a new option for people with type 2 diabetes.
FPG is defined as the blood glucose level after fasting (no food, except water, for at least 8–10 hours). FPG is the most commonly used indicator of diabetes and islet β cell function, generally representing the secretory function of basal insulin. Research has demonstrated that controlling FPG as soon as possible can promote HbA1c to reach the standard levels (33,34) and can facilitate whole-day blood glucose management and bring multiple benefits to patients. Considering the association between FPG and efficacy in HbA1c changes, the results of this meta-analysis show that dapagliflozin could reduce FPG levels more effectively than placebo, which confirms the effect of HbA1c by dapagliflozin.
The results of this study also showed that dapagliflozin could reduce the body quality level compared with placebo based on the change in body weight. Yang et al. (28) found that dapagliflozin reduced total body fat mass by using a double-energy X-line absorption assay and reduced subcutaneous and visceral adipose tissue by using magnetic resonance imaging. Therefore, the weight loss in dapagliflozin group may be caused by the decreasing of visceral and subcutaneous adipose tissue. In the early stage, weight loss was due to mild osmotic diuresis caused by dapagliflozin, followed by a loss of excess energy through the excretion of glucose in the urine, thus gradually reducing weight and waist circumference, which was associated with a reduction in fat mass.
Hypoglycemia is an unavoidable adverse reaction in diabetic patients in the process of hypoglycemic treatment and a restriction factor on the long-term maintenance of normal blood glucose levels (2). Severe episodes of hypoglycemia can cause great harm to patients. Therefore, we need to pay attention to the risk of hypoglycemia when choosing hypoglycemic drugs. The risk of hypoglycemia was evaluated in patients treated with dapagliflozin combined with oral hypoglycemic agents because of the significant reduction in blood pressure by SGLT-2 inhibitors. The results of the meta-analysis showed that there was no significant difference in the incidence of hypoglycemia and hypotension in the dapagliflozin group compared with the placebo group, indicating that diabetic patients could be treated effectively by dapagliflozin without increasing the incidence of hypoglycemia and hypotension.
The most common adverse effects of dapagliflozin are urinary tract and genital infections, which may be related to reducing glucose re-absorption in near-curvature tubules and increasing the hypoglycemic mechanism of urinary glucose excretion. A study of risk factors for urinary tract infection in women with diabetes found that urinary glucose levels did not affect the risk of urinary tract infection (35). However, the results of this meta-analysis showed that the incidence of urinary tract infection and genital infection was higher in the dapagliflozin group than in the placebo group. Although this study suggests that the combination of dapagliflozin would increase the risks of genital infection and urinary tract infection, these infections are mild and moderate and resolve without intervention or routine clinical management. No subjects quit the trial; however, urinary tract and genital infections were common in patients with diabetes. Therefore, we could use these results to identify people at high risk of urinary tract and genital infections so that patients could receive better treatment.
However, as a meta-analysis, this study has several limitations. Although the evaluation was conducted in strict accordance with the retrieval strategy used to collect published studies, a small number of published studies were still missing due to various constraints.
Conclusions
In summary, the RCTs included in this study were double-blind RCTs, the results of which were of high quality and credibility. However, due to the different inclusion criteria and medication regimens, there may be some clinical heterogeneity in the results.
Dapagliflozin combined with oral hypoglycemic agents could effectively reduce HbA1c and body quality without increasing the incidence of hypoglycemia, but there is a high risk of urinary tract and genital infections.
Acknowledgments
Funding: None.
Footnote
Reporting Checklist: The authors have completed the PRISMA reporting checklist. Available at https://apm.amegroups.com/article/view/10.21037/apm-22-121/rc
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://apm.amegroups.com/article/view/10.21037/apm-22-121/coif). The authors have no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
References
- Mahamat-Saleh Y, Fiolet T, Rebeaud ME, et al. Diabetes, hypertension, body mass index, smoking and COVID-19-related mortality: a systematic review and meta-analysis of observational studies. BMJ Open 2021;11:e052777. [Crossref] [PubMed]
- Caplan EO, Hayden J, Pimple P, et al. Cardiovascular risk prediction model and stratification in patients with type 2 diabetes enrolled in a Medicare Advantage plan. J Manag Care Spec Pharm 2021;27:1579-91. [Crossref] [PubMed]
- Kotha S, Lawendy B, Asim S, et al. Impact of immunosuppression on incidence of post-transplant diabetes mellitus in solid organ transplant recipients: Systematic review and meta-analysis. World J Transplant 2021;11:432-42. [Crossref] [PubMed]
- Youssef N, Noureldein M, Njeim R, et al. Reno-Protective Effect of GLP-1 Receptor Agonists in Type1 Diabetes: Dual Action on TRPC6 and NADPH Oxidases. Biomedicines 2021;9:1360. [Crossref] [PubMed]
- Zou CY, Liu XK, Sang YQ, et al. Effects of SGLT2 inhibitors on cardiovascular outcomes and mortality in type 2 diabetes: A meta-analysis. Medicine (Baltimore) 2019;98:e18245. [Crossref] [PubMed]
- van Bommel EJM, Geurts F, Muskiet MHA, et al. SGLT2 inhibition versus sulfonylurea treatment effects on electrolyte and acid-base balance: secondary analysis of a clinical trial reaching glycemic equipoise: Tubular effects of SGLT2 inhibition in Type 2 diabetes. Clin Sci (Lond) 2020;134:3107-18. [Crossref] [PubMed]
- Wheeler DC, James J, Patel D, et al. SGLT2 Inhibitors: Slowing of Chronic Kidney Disease Progression in Type 2 Diabetes. Diabetes Ther 2020;11:2757-74. [Crossref] [PubMed]
- Komoroski B, Vachharajani N, Feng Y, et al. Dapagliflozin, a novel, selective SGLT2 inhibitor, improved glycemic control over 2 weeks in patients with type 2 diabetes mellitus. Clin Pharmacol Ther 2009;85:513-9. [Crossref] [PubMed]
- Ohgaki R, Wei L, Yamada K, et al. Interaction of the Sodium/Glucose Cotransporter (SGLT) 2 inhibitor Canagliflozin with SGLT1 and SGLT2. J Pharmacol Exp Ther 2016;358:94-102. [Crossref] [PubMed]
- Okamura T, Koiwai K. The SGLT2 inhibitor empagliflozin: results of EMPA-REG OUTCOMER trial. Nihon Yakurigaku Zasshi 2016;148:282. [Crossref] [PubMed]
- Imamura M, Nakanishi K, Suzuki T, et al. Discovery of Ipragliflozin (ASP1941): a novel C-glucoside with benzothiophene structure as a potent and selective sodium glucose co-transporter 2 (SGLT2) inhibitor for the treatment of type 2 diabetes mellitus. Bioorg Med Chem 2012;20:3263-79. [Crossref] [PubMed]
- Han S, Hagan DL, Taylor JR, et al. Dapagliflozin, a selective SGLT2 inhibitor, improves glucose homeostasis in normal and diabetic rats. Diabetes 2008;57:1723-9. [Crossref] [PubMed]
- Komoroski B, Vachharajani N, Boulton D, et al. Dapagliflozin, a novel SGLT2 inhibitor, induces dose-dependent glucosuria in healthy subjects. Clin Pharmacol Ther 2009;85:520-6. [Crossref] [PubMed]
- Liberati A, Altman DG, Tetzlaff J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ 2009;339:b2700. [Crossref] [PubMed]
- Higgins JP, Altman DG, Gøtzsche PC, et al. The Cochrane Collaboration's tool for assessing risk of bias in randomised trials. BMJ 2011;343:d5928. [Crossref] [PubMed]
- Bailey CJ, Gross JL, Hennicken D, et al. 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. [Crossref] [PubMed]
- Bailey CJ, Gross JL, Pieters A, et al. 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;375:2223-33. [Crossref] [PubMed]
- Bolinder J, Ljunggren Ö, Johansson L, et al. Dapagliflozin maintains glycaemic control while reducing weight and body fat mass over 2 years in patients with type 2 diabetes mellitus inadequately controlled on metformin. Diabetes Obes Metab 2014;16:159-69. [Crossref] [PubMed]
- Bolinder J, Ljunggren Ö, Kullberg J, et al. 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;97:1020-31. [Crossref] [PubMed]
- Frías JP, Guja C, Hardy E, et al. Exenatide once weekly plus dapagliflozin once daily versus exenatide or dapagliflozin alone in patients with type 2 diabetes inadequately controlled with metformin monotherapy (DURATION-8): a 28 week, multicentre, double-blind, phase 3, randomised controlled trial. Lancet Diabetes Endocrinol 2016;4:1004-16. [Crossref] [PubMed]
- Frías JP, Hardy E, Ahmed A, et al. Effects of exenatide once weekly plus dapagliflozin, exenatide once weekly alone, or dapagliflozin alone added to metformin monotherapy in subgroups of patients with type 2 diabetes in the DURATION-8 randomized controlled trial. Diabetes Obes Metab 2018;20:1520-5. [Crossref] [PubMed]
- Henry RR, Murray AV, Marmolejo MH, et al. Dapagliflozin, metformin XR, or both: initial pharmacotherapy for type 2 diabetes, a randomised controlled trial. Int J Clin Pract 2012;66:446-56. [Crossref] [PubMed]
- Jabbour SA, Frías JP, Hardy E, et al. Safety and Efficacy of Exenatide Once Weekly Plus Dapagliflozin Once Daily Versus Exenatide or Dapagliflozin Alone in Patients With Type 2 Diabetes Inadequately Controlled With Metformin Monotherapy: 52-Week Results of the DURATION-8 Randomized Controlled Trial. Diabetes Care 2018;41:2136-46. [Crossref] [PubMed]
- Ljunggren Ö, Bolinder J, Johansson L, et al. Dapagliflozin has no effect on markers of bone formation and resorption or bone mineral density in patients with inadequately controlled type 2 diabetes mellitus on metformin. Diabetes Obes Metab 2012;14:990-9. [Crossref] [PubMed]
- Wilding JP, Norwood P, T'joen C, et al. A study of dapagliflozin in patients with type 2 diabetes receiving high doses of insulin plus insulin sensitizers: applicability of a novel insulin-independent treatment. Diabetes Care 2009;32:1656-62. [Crossref] [PubMed]
- Wilding JP, Woo V, Rohwedder K, et al. Dapagliflozin in patients with type 2 diabetes receiving high doses of insulin: efficacy and safety over 2 years. Diabetes Obes Metab 2014;16:124-36. [Crossref] [PubMed]
- Wilding JP, Woo V, Soler NG, et al. Long-term efficacy of dapagliflozin in patients with type 2 diabetes mellitus receiving high doses of insulin: a randomized trial. Ann Intern Med 2012;156:405-15. [Crossref] [PubMed]
- Yang W, Han P, Min KW, et al. Efficacy and safety of dapagliflozin in Asian patients with type 2 diabetes after metformin failure: A randomized controlled trial. J Diabetes 2016;8:796-808. [Crossref] [PubMed]
- Yang W, Ma J, Li Y, et al. Dapagliflozin as add-on therapy in Asian patients with type 2 diabetes inadequately controlled on insulin with or without oral antihyperglycemic drugs: A randomized controlled trial. J Diabetes 2018;10:589-99. [Crossref] [PubMed]
- Henry RR, Strange P, Zhou R, et al. Effects of Dapagliflozin on 24-Hour Glycemic Control in Patients with Type 2 Diabetes: A Randomized Controlled Trial. Diabetes Technol Ther 2018;20:715-24. [Crossref] [PubMed]
- Gandhi GY. In type 2 diabetes, tirzepatide reduced HbA1c vs. semaglutide. Ann Intern Med 2021;174:JC127. [Crossref] [PubMed]
- Marigliano M, Eckert AJ, Guness PK, et al. Association of the use of diabetes technology with HbA1c and BMI-SDS in an international cohort of children and adolescents with type 1 diabetes: The SWEET project experience. Pediatr Diabetes 2021;22:1120-8. [Crossref] [PubMed]
- Li LJ, Zhou JX, Chen HT, et al. Effect of HbA1c combined FPG on screening diabetes in health check-up. Asian Pac J Trop Med 2012;5:472-5. [Crossref] [PubMed]
- Nomura K, Inoue K, Akimoto K. A two-step screening, measurement of HbA1c in association with FPG, may be useful in predicting diabetes. PLoS One 2012;7:e36309. [Crossref] [PubMed]
- Geerlings SE, Stolk RP, Camps MJ, et al. Risk factors for symptomatic urinary tract infection in women with diabetes. Diabetes Care 2000;23:1737-41. [Crossref] [PubMed]