EFFICACY AND SAFETY OF INSULIN DEGLUDEC VERSUS INSULIN GLARGINE: A SYSTEMATIC REVIEW AND META-ANALYSIS OF TWENTY CLINICAL TRIALS
HTML Full TextEFFICACY AND SAFETY OF INSULIN DEGLUDEC VERSUS INSULIN GLARGINE: A SYSTEMATIC REVIEW AND META-ANALYSIS OF TWENTY CLINICAL TRIALS
Ajay Shukla, Rekha Mehani, Rajanish Sankdia and Tanu Garg *
Department of Pharmacology, PCMS & RC, Bhopal, Madhya Pradesh, India.
ABSTRACT: Introduction: This study aimed to compare the efficacy and safety of insulin degludec with insulin glargine in patients with type 1 and type 2 diabetes. Methods: We systematically searched PubMed, Embase, Web of Science, and Cochrane Library databases for randomized controlled trials published prior to July 2019 (no language restrictions) which compared insulin degludec with insulin glargine. Our main endpoints were glycemic control, and hypoglycemic events. We assessed pooled data using random-effects models. Results: A total of 20 studies that included 22706 patients, 11929 in the insulin degludec arm of the studies and 10777 patients in the insulin glargine arm were identified and subsequently assessed. Our analysis showed that compared with insulin glargine, insulin degludec yielded an improved mean reduction in fasting plasma glucose (FPG) (MD - 6.747, 95% CI - (1.702 to 11.79), p = 0.013), improved mean reduction in glycosylated hemoglobin (HbA1c) (MD 0.095, 95% CI –(-0.155 to -0.035), p = 0.867) and a lower ratio of participants experiencing the severe hypoglycemic event and nocturnal hypoglycemia (95% CI – 1.67 to 0.37, p = 0.004).Results showed insulin degludec to produce a statistically significant decrease in FPG level. Conclusions: Insulin degludec and insulin glargine provide more or less similar glycemic control, but the risk of hypoglycemia with insulin degludec is lower than with Insulin glargine. Insulin degludec may be an alternative treatment for managing patients with diabetes who are prone to hypoglycemia with insulin glargine.
Keywords: Insulin degludec, Insulin glargine, Type 2 diabetes Mellitus, Meta-analysis, Fasting plasma glucose, HbA1c
INTRODUCTION: Diabetes mellitus (DM) is a metabolic disease characterized by hyperglycemia caused either due to inadequate insulin release or resistance to insulin action. Poorly controlled Diabetes mellitus leads to various microvascular as well as macrovascular complications 1. Glycemic control can be achieved either by oral antidiabetic drugs or insulin. Tight glycemic control prevents and delays the development of microvascular as well as macrovascular complications.
Achieving glycemic control is associated with the risk of hypoglycemia 2. Insulin preparations are the mainstay of management in the treatment of type 1 diabetes and type 2 diabetes. Long-acting insulin analogues insulin glargine and insulin degludec have been developed. These produce more physiological basal insulin action and are associated with a lower risk of hypoglycemia compared to older human insulin preparations while achieving glycemic control 3.
Insulin degludec is a new ultra-long-acting basal insulin analogue. It is a novel acylated basal insulin with a unique mechanism of protracted absorption which forms soluble multi-hexamers in subcutaneous tissues leading to the slow release of insulin monomers 4.
MATERIAL AND METHODS:
Search Strategy: The PubMed, web of sciences, EMBASE, and Cochrane Library electronic databases were searched for studies published up to July 15, 2019, to identify all publications that compare the effects of the Insulin degludec and that of Insulin glargine administration in patients with DM.
The following terms were used in combination with appropriate logical connectors: “degludec,” “Insulin degludec,” “glargine,” “Insulin glargine,” “diabetes,” “insulin,” “randomized,” and “diabetes mellitus.” Further, a manual search was performed by scanning the references of the identified articles to find studies that were potentially missed by the electronic searches.
Study Selection and Data Collection: The inclusion criteria of the present systematic review and meta-analysis were studies that compared the effects of the administration of Insulin degludec once a day with those of Insulin glargine treatment, RCTs with more than 26weeks follow-up, patients diagnosed with type 1 DM (T1DM) or type 2 DM (T2DM).
The exclusion criteria were Insulin degludec injected three times a week, Insulin degludec co-formulated with other hypoglycemic agents, trials lasting less than 12 weeks, short reports, and letters to editors, abstracts, or proceedings of scientific meetings. The study selection was strictly in compliance with the inclusion and exclusion criteria.
The selection process was carried out by crude screening to exclude a majority of the irrelevant studies at the level of title and abstract, and the remaining studies were double-examined by perusing the full text to reach the final decision. A consensus was reached on all eligible studies between the three screening authors. Any discrepancies were resolved by discussion.
Quality and Publication Bias of the Included Studies: The included studies' quality was quantitatively assessed using the Jadad scale. Sixteen out of the 20 included studies were carried out in multiple countries. As all the included studies had Jadad scores of 3 points or more therefore, all the included studies can be considered to be of high-quality Table 1.
TABLE 1: JADAD SCORE
Author Name | Descriptions of randomization | Double blinding | Dropouts and withdrawals | JADAD Score* | |
Tibaldi et al | Multicenter, parallel group trial | 2 | 0 | 1 | 3 |
Rosenstock et al | Multicenter, parallel group trial | 2 | 0 | 1 | 3 |
Wysham et al | Multicenter, parallel group trial | 2 | 2 | 1 | 5 |
Aso et al | Multicenter, parallel group trial | 2 | 0 | 1 | 3 |
Lane et al | Multicenter, parallel group trial | 2 | 2 | 1 | 5 |
Iga et al | Multicenter, parallel group trial | 2 | 0 | 1 | 3 |
Marso et al | Multicenter, parallel group trial | 2 | 0 | 1 | 3 |
Warren et al | Multicenter, parallel group trial | 2 | 0 | 1 | 3 |
Pan et al | Multicenter, parallel group trial | 2 | 0 | 1 | 3 |
Hollander et al | Multicenter, parallel group trial | 2 | 0 | 1 | 3 |
Gough et al | Multicenter, parallel group trial | 2 | 0 | 1 | 3 |
Onishi et al | Multicenter, parallel group trial | 2 | 0 | 1 | 3 |
Mathieu et al | Multicenter, parallel group trial | 2 | 0 | 1 | 3 |
Zinman et al | Multicenter, parallel group trial | 2 | 0 | 1 | 3 |
Rodbard et al | Multicenter, parallel group trial | 2 | 0 | 1 | 3 |
Meneghini et al | Multicenter, parallel group trial | 2 | 0 | 1 | 3 |
Hellar et al | Multicenter, parallel group trial | 2 | 0 | 1 | 3 |
Zinman et al | Multicenter, parallel group trial | 2 | 0 | 1 | 3 |
Garber et al | Multicenter, parallel group trial | 2 | 0 | 1 | 3 |
Birkland et al | Multicenter, parallel group trial | 2 | 0 | 1 | 3 |
Three authors (AS, RM and TG) independently extracted all the relevant information from the eligible studies.
A pre-specified table that contained the relevant items was used to help with the data collection.
RESULTS: We identified 872 studies in our search of the databases, of which 20 (with data for 22,706 participants) were included in our analysis. These 20 RCTs were all published between 2012 and 2019.
The flow diagram of the search procedure is shown in Fig. 1, and the characteristics of the included studies 5-24 are described in Table 2.
FIG. 1: FLOW DIAGRAM FOR IDENTIFYING ELIGIBLE STUDIES
The mean trial duration was 39.4 (range 12-104) weeks. Patients had a mean baseline HbA1c of 8.25% (range 7.4-9.55%), mean baseline FPG of 163.7 (range 127.4-186) mg/dL, mean baseline BMI of 30.7 (range 24-36.2) kg/ m2, mean baseline weight of 86.7 (range 61.3-105.3) kg and mean duration of diabetes of 12.56 (range 4.8-23.3) years. Of the 20 RCTs, 16 were carried out in multiple countries 6, 9-11, 13-24, three in the USA 5, 7, 12, and one in Japan 8. In the four crossover trials, participants were switched directly to the other intervention without a washout period 7, 9, 10, 12. Therefore, only the first treatment phases were chosen in the meta-analysis, and we performed a pre-specified sensitivity analysis for possible bias. Ten trials compared insulin degludec with insulin glargine on a background of insulin naivety 6, 8, 13, 15-20, 22, leading us to perform a subgroup analysis based on the background treatment (insulin naivety or insulin treatment).
TABLE 2: DEMOGRAPHIC AND BASELINE CHARACTERISTICS OF THE INCLUDED STUDIES
First author | Year | Location | Design | Background treatment | Differential interventions | Duration of intervention (weeks) | No of participants | No of participants Deg | No of participants Gla | No of male participants n(%) | Mean age | Mean baseline HbA1c | Mean baseline FPG mg/dl | Mean baseline BMI(kg/m2) | Mean baseline body weight | Mean duration of diabetes (years) |
Tibaldi et al | 2019 | USA | RCT | T2DM | IDeg100 OD vs IGlar 300 OD | 26 | 4056 | 2107 (51.9) | 57.8 | 9.55 | 34.35 | 100.3 | 4.8 | |||
Rosenstock et al. | 2018 | 158 sites in 16 countries | RCT | insulin naive T2DM | IDeg100 OD vs IGlar 300 OD | 24 | 929 | 463 | 466 | 502 (54) |
60.5 | 8.64 | 186 | 31.5 | 89.7 | 10.6 |
Wysham et al. | 2017 | USA | Crossover RCT | Basal insulin +_ OADs T2DM | IDeg100 OD vs IGlar 100 OD | 32 | 720 | 721 | 721 | 382 (53) |
61.4 | 7.6 | 137 | 32.2 | 91.7 | 14.1 |
Aso et al. | 2017 | Japan | RCT | insulin naive T2DM | IDeg OD vs IGlar OD | 24 | 45 | 33 | 12 | 20 (45) |
64.4 | 8.86 | 162.5 | 24.6 | 61.3 | 11.5 |
Lane et al. | 2017 | 90 sites in 2 countries | Crossover RCT | Basal insulin +_ OADs T1DM | IDeg100 OD vs IGlar 300 OD | 32 | 720 | 501 | 501 | 382 (53) |
61.4 | 7.6 | 137 | 23.3 | ||
Iga et al. | 2017 | Multicentre | crossover RCT | Basal insulin +_ OADs T1DM | IDeg100 OD vs IGlar 300 OD | 12 | 40 | 20 | 20 | 25 (62.5) |
54 | 7.4 | 127.4 | 24 | 62 | 15.2 |
Marso et al. | 2017 | 438 sites in 20 countries | RCT | Basal insulin +_ OADs T2DM | IDeg100 OD vs IGlar 100 OD | 96 | 7637 | 4778 (62.5) |
65 | 8.4 | 171.7 | 33.6 | 96.1 | 16.4 | ||
Warren et al. | 2017 | USA | Crossover RCT | Basal insulin +_ OADs T2DM | IDeg100 OD vs IGlar 300 OD | 32 | 290 | 145 | 145 | 90 (62) |
55.3 | 8.15 | 144.5 | 36.2 | 105.2 | 12.1 |
Pan et al. | 2016 | 68 sites in 6 countries | RCT | insulin naive T2DM | IDeg100 OD vs IGlar 300 OD | 26 | 833 | 555 | 278 | 433 (52) |
56 | 8.3 | 169.2 | 27.2 | 74.65 | 8 |
Hollander et al | 2015 | 123 sites in 12 countries | RCT | Basal insulin +_ OADs T2DM | IDeg100 OD vs IGlar 300 OD | 78 | 757 | 410 (54.2) |
58.7 | 8.25 | 165.6 | 32.15 | 92.2 | 13.55 | ||
Gough et al. | 2013 | multinational | RCT | insulin naive T2DM | IDeg 200 units/mL | 26 | 457 | 229 | 228 | 243 (53) | 57.8 | 8.3 | 172 | 32.2 | 92.2 | 8.4 |
Onishi et al. | 2013 | 52 sites in 6 countries | RCT | insulin naive T2DM | IDeg 200 units/mL | 26 | 435 | 289 | 146 | 233 (53) | 58.6 | 8.3 | ||||
Mathieu et al | 2013 | Multi-centeric | RCT | Insulin-naive T1DM | IDeg flex vs IDeg OD vs IGlar OD | 26 | 493 | 329 | 164 | 284 | 43.7 | 7.7 | 175.8 | 80.5 | 18.4 | |
Zinman et al. | 2013 | 94 cities in 7 countries | RCT | insulin naive T2DM | IDeg 3TWAM vs IGlar OD | 26 | 459 | 261 (56.9) | 58.2 | 8.25 | 170.4 | 32.45 | 93.3 | 8.85 | ||
Rodbard et al. | 2013 | 94 cities in 7 countries | RCT | insulin naive T2DM | IDeg OD vs IGlar OD | 104 | 1030 | 648(63) | 59 | 8.2 | 173.7 | 31.25 | 90.6 | 9 | ||
Meneghini et al. | 2013 | 69 cities in 14 countries | RCT | insulin naive T2DM | IDeg OD vs IGlar OD | 26 | 687 | 457 | 230 | 370(54) | 56.4 | 8.4 | 160.2 | 29.6 | 81.8 | 10.6 |
Hellar et al. | 2012 | 79 cities in 64countries | RCT | Basal insulin +_ OADs T1DM | IDeg100 OD vs IGlar 300 OD | 52 | 629 | 472 | 157 | 364 (58) | 43.2 | 7.7 | ||||
Zinman et al. | 2012 | 166 cities in 12 countries | RCT | insulin naive T2DM | IDeg-100 OD vs IGlar-100 OD | 52 | 1030 | 773 | 257 | 638(61.9) | 59 | 8.2 | 173.7 | 31.25 | 90.7 | 9 |
Garber et al. | 2012 | 123 cities in 12 countries | RCT | Basal insulinT2DM | IDeg-100 OD vs IGlar-100 OD | 52 | 992 | 744 | 248 | 538 (54) | 58.9 | 8.3 | 165.6 | 32.1 | 92.4 | 13.5 |
Birkeland et al. | 2011 | 28 cities in 5 countries | RCT | 16 | 178 | 119 | 59 | 106(59) | 46 | 8.4 | 175 | 27 | 79.7 | 20.8 | ||
22706 | 53.56 | 8.25 | 163.7 | 30.7 | 86.7 | 12.56 |
In all, 22706 patients were included in the present study. Four studies recruited patients with T1DM, 9, 10, 17, 21 and the other 16 studies enrolled patients with T2DM 5-8, 11-16, 18-20, 22-24.
In all the included studies, the authors used an intention-to-treat analysis. Withdrawals and dropouts were described adequately in all these studies, and the rates of completed treatment varied from 80% to 100%.
The clinical characteristics of each trial are summarized in Tables 3 and 4.
TABLE 3: CHANGES IN HBA1C AND FPG LEVELS
Author Name | HbA1c | Fasting Plasma Glucose | ||||||
DEG (% Change) | GLA (% Change) | ETD | 95% CI | DEG (% Change) | GLA (% Change) | ETD | 95% CI | |
Tibaldi et al | 1.48 | 1.22 | -0.27 | (-0.51, -0.03) | ||||
Rosenstock et al | 1.59 | 1.64 | -0.05 | (-0.15, 0.05) | 63.47 | 71.16 | 7.68 | (2.71, 12.65) |
Wysham et al. | 1.07 | 1.03 | 0.09 | (-0.04, 0.23) | 31.9 | 27.9 | ||
Aso et al. | 1.6 | 1.7 | ||||||
Lane et al. | 0.8 | 0.92 | 0.03 | (-0.1, 0.15) | 30.8 | 28.1 | -17 | (-25.5, -8.41) |
Marso et al. | 0.01 | (-0.05, 0.07) | 39.9 | 34.9 | -7.2 | (-10.3, -4.1) | ||
Warren et al | 0.12 | 0.06 | 0.06 | (-0.21, 0.09) | 14.76 | 0.9 | 0.77 | (-1.39, -0.15) |
Pan et al. | 1.3 | 1.2 | -0.05 | (-0.18, 0.08) | 60.3 | 56.52 | -0.26 | (-0.53, 0.02) |
Hollander et al | 1 | 1.2 | 0.16 | (0.02, 0.3) | 43 | 40 | -0.19 | (-0.59, 0.21) |
Gough et al. | 1.3 | 1.3 | 0.04 | (-0.11, 0.19) | 66.7 | 60.9 | -0.42 | (-0.78, -0.06) |
Onishi et al. | 1.24 | 1.35 | 0.11 | (-0.03, 0.24) | 51.84 | 53.46 | -0.09 | (-0.41, 0.23) |
Mathieu et al | 0.4 | 0.58 | 0.17 | (0.04, 0.3) | 23.04 | 23.94 | -1.07 | (-1.82, 0.32) |
Zinman et al | 1.1 | 1.4 | 0.34 | (0.18, 0.51) | ||||
Rodbard et al | 1.1 | 1.3 | 0.07 | (-0.07, 0.22) | 75.06 | 64.08 | -0.36 | (-0.67, -0.05) |
Meneghini et al | 1.28 | 1.26 | 0.04 | (-0.12, 0.2) | -0.42 | (-0.82, -0.02) | ||
Hellar et al | 0.4 | 0.39 | -0.01 | (-0.14, 0.11) | ||||
Zinman et al | 1.06 | 1.19 | 0.09 | (-0.04, 0.22) | 68.4 | 59.4 | -0.43 | (-0.74, -0.13) |
Garber et al | 1.1 | 1.2 | 0.08 | (-0.05, 0.21) | ||||
Birkeland et al | 0.57 | 0.62 | 0.1 | (-0.14, 0.34) | 28.8 | 9.72 | -0.56 | (-1.84, 0.73) |
ETD (Estimated treatment difference)
TABLE 4: OBSERVED OVERALL AND NOCTURNAL HYPOGLYCEMIA IN THE META-ANALYSIS
First author | Hypoglycemia (%) | Events (Per patient year) | Nocturnal Hypoglycemia (%) | Events (Per patient year) | ||||||||||||
Deg | Gla | ERR | 95% CI | Deg | Gla | ERR | 95% CI | Deg | Gla | ERR | 95% CI | Deg | Gla | ERR | 95% CI | |
Tibaldi | 7.7 | 6.2 | 0.7 | (0.5, 0.99) | 0.3 | 0.26 | ||||||||||
Rosenstock | 69 | 66.5 | 0.88 | (0.66, 1.17) | 10.8 | 9.3 | 0.86 | (0.71, 1.04) | 28.9 | 28.6 | 0.99 | (0.74, 1.32) | 2.26 | 1.83 | 0.81 | (.58, 1.12) |
Wysham | 22.5 | 31.6 | -9.1 | (-13.1, -5) | 2.2 | 2.75 | 0.77 | (0.7, 0.85) | ||||||||
Lane | 83 | 86.5 | 0.94 | (0.91, 0.98) | 22 | 24.6 | 0.89 | (0.85, 0.94) | 2.77 | 4.28 | 0.64 | (0.56, 0.73) | ||||
Marso | 4.9 | 6.6 | 0.73 | (0.6, 0.89) | 3.7 | 6.25 | 0.6 | (0.48, 0.76) | 4.9 | 6.25 | 3.7 | 6.25 | 0.6 | (0.48, 0.76) | ||
Warren | 26.4 | 36.6 | 0.594 | (0.39, 0.901) | 1.92 | 2.88 | 9.35 | 11.35 | 0.38 | 0.63 | (0.29, 0.48) | |||||
Pan et al | 23.1 | 28.4 | 0.8 | (0.59, 1.1) | 85 | 97 | 0.8 | (0.9, 1.1) | 7.2 | 9 | 22 | 24 | 0.77 (0.43 to 1.37) | |||
Hollander | 86 | 86.4 | 0.76 | (0.62, 0.94) | 9.84 | 12.76 | 0.85 | (0.72, 1.02) | 42 | 52 | 1.34 | 1.76 | 0.76 | (0.58, 0.99) | ||
Gough | 28.5 | 30.7 | 0.86 | (0.58, 1.28) | 1.22 | 1.42 | 0.86 | (0.58, 1.28) | 6.1 | 8.8 | 0.18 | 0.28 | 0.64 | (0.3, 1.37) | ||
Onishi | 50 | 53 | 0.82 | (0.6, 1.11) | 3 | 3.7 | 0.8 | 1.2 | 0.62 | (0.38, 1.04) | ||||||
Mathieu | 93.9 | 96.9 | 0.47 | (0.23, 0.94) | 82.4 | 79.7 | 1.03 | (0.85, 1.26) | 67.7 | 72.7 | 6.2 | 10 | 0.62 | (0.44, 0.82) | ||
Zinman 2013 | 1.04 | (0.69, 1.55) | 1.3 | 1.3 | 0.62 | (0.38, 1.04) | ||||||||||
Rodbard | 58 | 55 | 0.84 | (0.68, 1.04) | 1.72 | 2.05 | 20.6 | 23.7 | 0.27 | 0.46 | 0.57 | (0.4, 0.81) | ||||
Meneghini | 51 | 49 | 1.03 | (0.75, 1.4) | 388 | 378 | 11 | 21 | 0.6 | 0.8 | (0.38, 1.04) | |||||
Hellar | 42.5 | 40.1 | 1.07 | (0.89, 1.28) | 4.41 | 5.86 | 0.75 | (0.59, 0.96) | ||||||||
Zinman 2012 | 46.5 | 46.3 | 1.52 | 1.85 | 0.82 | (0.64, 1.04) | 13.8 | 15.2 | 0.25 | 0.39 | 0.64 | (0.42, 0.98) | ||||
Garber | 11.1 | 13.6 | 0.82 | (0.69, 0.99) | 1.4 | 1.8 | 0.75 | (0.58, 0.99) | ||||||||
Birkeland Type 1 |
47.9 | 66.2 | 0.72 | (0.52, 1) | 8.8 | 12.3 | 0.42 | (0.25, 0.69) |
Deg (Degludec), Gla (Glargine), ERR (estimated Rate Ratio), CI (Confidence interval)
Glycemic Control: The HbA1c and the changes from the baseline to the endpoint levels were reported in all the 20 included studies. Our study found that the mean reduction in HbA1c level was 1.06% with insulin degludec while treatment with insulin glargine led to a greater mean reduction in HbA1c level of 1.156%. The overall meta-analysis revealed no statistically significant difference between the two groups with MD of 0.09% in the HbA1c level, with nonsignificant heterogeneity (MD=0.09%, 95% CI=-0.155 to 0.035, p=0.867). Table 3, Fig. 2.
FIG. 2: FOREST PLOT (MEAN DIFFERENCE IN CHANGES IN GLYCOSYLATED HAEMOGLOBIN (HBA1C) BETWEEN INSULIN DEGLUDEC AND INSULIN GLARGINE)
Fifteen studies that included 5850 patients in the insulin degludec group and 3632 patients in the insulin glargine group reported the changes in FPG between baseline and the end of the intervention. A pooled analysis of 15 trials revealed that the insulin degludec treatment was associated with a greater mean decrease in FPG levels of 48.4 mg/dl as compared to insulin glargine, which showed a mean decrease of 41.7 mg/dl. This difference between the two groups was statistically significant. (MD = 6.74, 95% CI=1.703 to 11.79 to 12.94, p=0.013 Table 3, Fig. 3.
FIG. 3: FOREST PLOT (MEAN DIFFERENCE IN CHANGES IN FASTING PLASMA GLUCOSE (FPG) BETWEEN INSULIN DEGLUDEC AND INSULIN GLARGINE)
Safety Endpoints: Out of 20 trials included in the study, only 9 reported hypoglycemia incidences. Pooled analysis of these showed insulin degludec to have lesser mean hypoglycemic episodes (52.36) as compared to insulin glargine (54.48). The difference was not statistically significant. (p = 0.183, CI = -5.48 to 1.24). We identified 18 studies that reported the events per patient-year of overall hypoglycemia Table 4.
Eleven trials included in the study mentioned incidences of nocturnal hypoglycemia. Analysis showed a lesser number of nocturnal hypoglycemic episodes than insulin glargine and was found to be statistically significant (p = 0.026, CI = -5.51 to -0.42). Insulin degludec produceda lesser number of events of nocturnal hypoglycemia per patient-year which was statistically significant (p = 0.004, CI = -1.67 to -0.37) Table 4.
DISCUSSION: This systematic review and meta-analysis was done to evaluate the safety and efficacy of two long-acting insulin analogues, insulin degludec and insulin glargine in patients of type 1 as well as type 2 diabetes mellitus. After screening the studies, as per inclusion and exclusion criteria, 20 RCTs were included. To analyze efficacy between the insulin degludec and insulin glargine, we assessed overall glycemic control, mean reduction in HbA1c and reduction in FPG. For the analysis of safety between the insulin degludec and insulin glargine, we assessed the overall incidence of adverse effects, incidence of overall and nocturnal hypoglycemia, and events per patient-year. In the analysis's pooled results, a clinically significant difference was found in glycemic control between the insulin degludec and insulin glargine. The treatment with insulin degludec had better glycemic control than treatment with insulin glargine.
The mean reduction in HbA1c level was more with insulin glargine as compared to insulin degludec but it was not statistically significant (p = 0.867). These results are consistent with most of the studies included in the meta-analysis. The glycemic control in terms of reduction in FPG level was higher in the insulin degludec group than in insulin glargine group in the study, which was statistically significant (p = 0.013). These results are similar to the findings of most of the studies included in the trial 6-7, 9-12, 14, 15, 17, 20, 22, 24. The RCTs by Hollander et al. 14 and Onishi et al. 16 showed a greater reduction in FPG levels with Insulin glargine, which was not statistically significant. The most common adverse effect of insulin therapy is hypoglycemia. In the present study, the rates of overall hypoglycemia (p=0.183) and hypoglycemic events per patient year (p=0.192) were lower in patients treated with insulin degludec.
This observation was in line with most of the studies. The RCTs conducted by Rosenstock et al 6, Rodbard et al 19, and Zinman (2012) et al 22 showed increased rates of overall hypoglycemia as well as hypoglycemic events per patient-year in patients treated with insulin degludec but it was not statistically significant. The overall risk of hypoglycemia was similar in both groups.
In this meta-analysis, we found that Insulin degludec treatment was associated with a lower rate of nocturnal hypoglycemia in both type 1 and type 2 diabetes mellitus as compared to insulin glargine treatment (p=0.026). The RCT by Rosenstock et al. 6 was conflicting as it demonstrated lower rates of nocturnal hypoglycemia with insulin glargine. The results were supported by most of the trials included in the study 11-15, 17, 19, 20, 22. This decreased rate of nocturnal hypoglycemia is likely attributed to ultralong action, the stable pharmacokinetic profile of insulin degludec, and lower day-to-day variability. A meta-analysis by Zhou W et al. 26 supports the results of our study. It reported that insulin glargine and insulin degludec produced similar glycemic control and insulin degludec was associated with a lower rate of severe hypoglycemic events and nocturnal hypoglycemic events as compared to insulin glargine.
Results of a meta-analysis by Liu W et al. 27 showed non-inferiority of insulin degludec to insulin glargine with respect to glycemic control. It reported a statistically significant decrease in hypoglycemia and nocturnal hypoglycemia with insulin degludec treatment. Findings of a meta-analysis by Kant R et al. 28 were conflicting as it showed both insulin glargine and insulin degludec to be equally effective in reducing FPG and HbA1c with lower rates of hypoglycemic episodes in insulin glargine. Thus, treatment with insulin degludec resulted in a greater reduction in FPG levels and a lower rate of overall and nocturnal hypoglycemia.
CONCLUSION: Hypoglycemia is the main limiting factor in achieving the target glycemic control. This pooled meta-analysis results showed that the insulin degludec had more efficacy (good glycemic control in terms of reduced FPG levels) and safety than insulin glargine (decreased rate of nocturnal hypoglycemia).
ACKNOWLEDGEMENTS: Nil
CONFLICTS OF INTEREST: NIL
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How to cite this article:
Shukla A, Mehani R, Sankdia R and Garg T: Efficacy and safety of insulin degludec versus insulin glargine: a systematic review and meta-analysis of twenty clinical trials. Int J Pharm Sci & Res 2023; 14(10): 4956-64. doi: 10.13040/IJPSR.0975-8232.14(10).4956-64.
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Article Information
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4956-4964
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English
IJPSR
Ajay Shukla, Rekha Mehani, Rajanish Sankdia and Tanu Garg *
Department of Pharmacology, PCMS & RC, Bhopal, Madhya Pradesh, India.
tanu43210@gmail.com
03 March 2023
22 April 2023
31 May 2023
10.13040/IJPSR.0975-8232.14(10).4956-64
01 October 2023