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le Efficacy and Safety of Glucagon-like peptide-1 receptor agonists
in type 2 diabetes
Systematic review and mixed-treatment comparison analysis
GLP-1RAs treatments in diabetes
Zin Z Htike , MBBS
Francesco Zaccardi , MD
Dimitris Papamargaritis, PhD
David R Webb, PhD
Kamlesh Khunti, PhD
Melanie J Davies, MD
Diabetes Research Centre, University of Leicester, Leicester, UK Leicester Diabetes Centre, Leicester General Hospital, University Hospitals of Leicester NHS Trust
Corresponding Author and reprint requests Dr Zin Zin Htike Leicester Diabetes Centre, Leicester General Hospital, Leicester, UK Phone: +44 0116 258 8602 – Fax: +44 0116 258 4499 Email: [email protected] ABSTRACT
Aims
To compare efficacy and safety of glucagon-like peptide-1 receptor agonists (GLP-1RAs) in
subjects with type 2 diabetes
Materials and Methods
This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as doi: 10.1111/dom.12849
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le We electronically searched, up to June 3rd, 2016, published randomised clinical trials lasting
between 24 and 32 weeks and comparing a GLP-1RA (albiglutide, dulaglutide, twice-daily
(EBID) and once-weekly exenatide, liraglutide, lixisenatide, semaglutide, and taspoglutide)
with placebo or another GLP-1RA. Data on cardiometabolic and safety outcomes were
analysed using a mixed-treatment comparison meta-analysis
Results
34 trials (14464 participants) met the inclusion criteria; no published data for semaglutide
were available. Compared to placebo, all GLP-1RAs reduced HbA1c and fasting plasma
glucose (FPG) (from -0.55% and -0.73mmol/L for lixisenatide to -1.21% and -1.97mmol/L
for dulaglutide). There were no differences within short-acting (EBID and lixisenatide) or
long-acting (albiglutide, dulaglutide, once-weekly exenatide, liraglutide, and taspoglutide)
groups. Compared to EBID, dulaglutide treatment was associated with the greatest HbA1c
and FPG reduction (0.51% and 1.04mmol/L), followed by liraglutide (0.45%, 0.93mmol/L)
and once-weekly exenatide (0.38% and 0.85mmol/L); similar reductions were found when
these three agents were compared to lixisenatide. Compared to placebo, all GLP-1RAs except
albiglutide reduced weight and increased the risk of hypoglycaemia and gastrointestinal (GI)
side effects and all agents except dulaglutide and taspoglutide reduced systolic blood pressure.
When all GLP-1RAs were compared against each other, no clinically meaningful differences
were observed in weight loss, blood pressure reduction or hypoglycaemia risk. Albiglutide
had the lowest risk of nausea and diarrhoea and once-weekly exenatide the lowest risk of
vomiting.
Conclusions
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le RCTs demonstrate that all GLP-1RAs improve glycaemic control, reduce body weight, and
increase the risk of adverse gastrointestinal symptoms vs placebo. Although there are no
differences when short-acting agents are compared against each-other or when long-acting
agents are compared against each-other, dulaglutide, liraglutide, and once-weekly exenatide
are superior to EBID and lixisenatide at lowering HbA1c and FPG. There are no differences
in hypoglycaemia between these three agents whilst once-weekly exenatide has a lowest risk
of vomiting. These results, along with patient’s preferences and individualised targets, should
be considered in selecting a GLP-1RA.
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le Introduction
Type 2 diabetes (T2DM) is a chronic metabolic disorder characterised by complex
pathophysiology of progressive beta cell dysfunction and a varying degree of insulin
resistance. As the condition progresses, achieving and maintaining glycaemic control
becomes a challenge despite the availability and use of a number of classes of glucose
lowering therapies[1]. Current guidelines recommend a patient-centred approach when
choosing appropriate glucose lowering treatments, with a primary goal of achieving
individualised glycaemic target whilst minimising adverse effects, particularly weight gain
and hypoglycaemia [2].
Glucagon like peptide-1 receptor agonists (GLP-1RAs) are a class of therapeutic agent,
which provide significant improvement in HbA1c with an added benefit of promoting weight
loss and low risk of hypoglycaemia [3-6]. GLP-1 is a gut hormone produced by the small
intestine in response to oral ingestion of glucose, which promotes a glucoregulatory effect by
increasing insulin and suppressing glucagon secretion [7]. It also facilitates weight loss by
delaying gastric emptying and acting centrally on the satiety centre to reduce the food intake
[7]. Manipulating the molecular structure of GLP-1 alters its pharmacological properties and
produces biological effects that can be exploited clinically. GLP-1RAs are increasingly
classified by duration of action into long-acting (albiglutide, dulaglutide, once-weekly
exenatide, liraglutide, semaglutide, and taspoglutide) and short-acting (twice-daily exenatide
(EBID) and lixisenatide) agents [8].
To date, EBID, lixisenatide, liraglutide, albiglutide, dulaglutide, and once-weekly exenatide
are licensed by the US Food and Drug Administration (FDA) to be used in the management
of T2DM. The clinical trials and development of taspoglutide were discontinued in 2010 and
therefore it is not available in clinical practice while semaglutide in a once-weekly
subcutaneous formulation is in phase III clinical trials.
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le The American Diabetes Association (ADA)/European Association for the study of Diabetes
(EASD) guidelines recommend the use of GLP-1RAs as an adjunctive therapy to lifestyle
modification and metformin [9]. However, there are no specific recommendations on which
GLP-1RA to choose in clinical practice possibly due to limited availability of head to head
studies comparing the efficacy and safety of GLP-1RAs [10]. When direct comparisons are
limited, mixed-treatment comparison analysis (also known as network meta-analysis) is
regarded as the methodology of choice to compare several treatments [11, 12]. Using this
approach and available data, we therefore aimed to compare the clinical profiles of GLP-
1RAs.
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le Methods
Data Sources and Searches
This study was performed following a pre-specified protocol and PRISMA guidelines for
conducting and reporting of systematic reviews and meta-analysis [11, 13, 14]
(Supplementary Material). We searched PubMed, ISI Web of Science, and the Cochrane
Library for randomised clinical trials (RCTs) published from inception to June 3rd, 2016 and
comparing a GLP-1RA with placebo or another GLP-1RA (EBID, lixisenatide, liraglutide,
albiglutide, dulaglutide, once-weekly exenatide, semaglutide, and taspoglutide) in adults with
type 2 diabetes [15]. Only fully published RCTs were included (abstracts were excluded). We
sought additional studies by manually scanning reference lists of eligible studies and previous
systematic reviews and meta-analysis. Although the clinical trials and the development of
taspoglutide were discontinued in 2010, we included taspoglutide RCTs data as they
contribute to indirect estimations. No language restrictions were applied. Details on the
search strategy are provided in supplementary Figure S1.
Study Selection
Fully published RCTs in subjects with T2DM lasting between 24 and 32 weeks with data on
EBID 10µg, lixisenatide 20µg, liraglutide 1.8mg, albiglutide 50mg, dulaglutide 1.5mg, once-
weekly exenatide 2mg, semaglutide 1mg, and taspoglutide 20mg were included if they
reported data on HbA1c. RCTs including patients with chronic kidney disease were excluded.
Data extraction and Quality Assessment
Three authors (ZZH, DP, FZ) independently performed the literature search and extracted
study data using pre-defined forms. Extracted information included: first author name, trial
name/acronym, year of journal publication, background glucose-lowering therapies, GLP-
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le 1RA treatments, study duration, sample size, gender, age, diabetes duration, baseline HbA1c.
We collected data on arm-specific number of participants, mean difference and standard error
(or standard deviation) for continuous data (cardiometabolic outcomes: HbA1c, fasting
plasma glucose (FPG), body weight, total, low- and high-density lipoprotein cholesterol,
triglycerides, systolic and diastolic blood pressure, and heart rate) and on total number of
participants and participants with events for dichotomous data (safety outcomes: nausea,
vomiting, diarrhoea, all (total) hypoglycaemic events, and injection site reactions). Data were
extracted according to the intention to treat principle. When it was not possible to obtain
efficacy and safety information from the published report, we retrieved data from
ClinicalTrials.gov. In case of disagreement between the three reviewers on the eligibility of
an article or on extracted data, consensus was reached by re-evaluation of the article and
consultation with an independent reviewer. Study quality was assessed using the Cochrane
risk of bias tool [16].
Data Synthesis and Analysis
We performed a mixed-treatment comparison within a frequentist framework based on the
method of multivariate meta-analysis [17-19]. We used treatment-specific mean difference
from baseline and odds ratio (OR) as effect measure for continuous and dichotomous data,
respectively; we added 0.5 when studies reported zero events for safety outcomes. For each
outcome, we graphically summarised the evidence by using a network diagram [20] and
performed random-effects network meta-analyses assuming that all treatment contrast have
the same heterogeneity variance. We presented results against placebo and comparisons
across all GLP-1RAs in graphs and tables. For each outcome, we assessed consistency
between direct and indirect evidence by using the ‘design by treatment’ interaction model
[21]. Stata 14.1 (Stata Corp, College Station, TX, USA) was used for all analyses and results
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le are reported with 95% confidence intervals (CIs); a p-value <0.05 was deemed statistically
significant.
Results
Study characteristics
We identified 7697 records, of which thirty-four fulfilled the inclusion criteria
(Supplementary Figure S1). Included RCTs were published between 2004 and 2016; no
published data for semaglutide fulfilling inclusion criteria were available (Table 1) [22-55];
ten were ‘head-to-head’ comparisons. A total of 14464 participants (47.9% female; range
35.5-63.5) with T2DM were included in our analysis with a mean baseline age of 56.2 (range,
53.0-63.6) years, HbA1c of 8.2% (range, 7.6-9.0), and duration of diabetes of 8.1 (range, 1.5-
17.2) years. Background therapies were metformin, sulphonylurea, thiazolidinedione, and
insulin alone or any combination of these medications. Overall risk of bias for the individual
studies was variable, either low (69.6% for the six domains), high (9.8%) or unclear (20.6%)
(Table S1).
Mixed-treatment comparison
Estimates for cardiometabolic outcomes are shown in Figure 1, Table 2 and Table S2, and
results for safety outcomes in Figure 2, Table 3 and Table S3. Networks of comparisons are
depicted in Figure S2. For both cardiometabolic and safety outcomes, results are first
presented for against placebo. Then, when comparing GLP-1RAs with each other, results are
first reported comparing short-acting (EBID and lixisenatide) vs long-acting; then comparing
short-acting against each other; and lastly long-acting GLP-1RAs agents against each other.
Comparison vs Placebo for cardiometabolic outcomes
Glycaemic control
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le Compared to placebo, all GLP-1RA treatments improved both HbA1c and FPG. HbA1c
reduction ranged from 0.55% to 1.21%, the greatest being with dulaglutide (1.21%; 1.05,
1.36), followed by liraglutide (1.15%; 1.03, 1.27), once-weekly exenatide (1.08%; 0.89, 1.27),
taspoglutide (0.99%; 0.85, 1.14), albiglutide (0.94%; 0.64, 1.24), EBID (0.70%; 0.59, 0.81)
and lixisenatide (0.55%; 0.42, 0.68) (Figure 1, Table S2). Improvement in FPG followed the
same pattern as that of HbA1c, ranging from a maximum of 1.97mmol/L (1.49, 2.44) with
dulaglutide to a minimum of 0.73mmol/L (0.38, 1.08) with lixisenatide (Figure 1, Table S2).
Body weight
Data on body weight were available for 14054 participants. Compared to placebo, treatment
with GLP-1RAs was associated with significant weight loss, the greatest being with
liraglutide (1.96kg; 1.25, 2.67) followed by EBID (1.67kg; 1.05, 2.29), dulaglutide (1.57;
0.66, 2.48), taspoglutide (1.54kg; 0.66, 2.41), once-weekly exenatide (1.49kg; 0.40, 2.58),
and lixisenatide (0.78kg; 0.09, 1.48) (Figure 1, Table S2).
Blood pressure and lipid profile
Data for other cardiometabolic outcomes ranged from 4955 subjects for triglycerides to 7375
subjects for systolic blood pressure (SBP). Compared to placebo, treatment with liraglutide,
once-weekly exenatide, EBID and dulaglutide resulted in significant reduction in SBP of
4.04mmHg (2.90, 5.19), 3.64mmHg (2.13, 5.15), 3.43mmHg (2.17, 4.69) and 3.35mmHg
(2.10, 4.61), respectively; and in diastolic blood pressure (DBP) of 1.80 mmHg (1.00, 2.60)
for EBID, 1.16mmHg (0.17, 2.15) for once-weekly exenatide, 0.92mmHg (0.13, 1.71) for
liraglutide (Figure 1, Table S2).
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le With the exception of lixisenatide, treatment with all GLP-1RAs significantly raised heart
rate (HR) compared to placebo, ranging from a minimum of 1.07bpm (0.00, 2.15) with EBID
to a maximum of 3.28bpm (2.45, 4.11) with liraglutide (Figure 1, Table S2).
Compared to placebo, dulaglutide and liraglutide lowered triglycerides while albiglutide,
dulaglutide, once-weekly exenatide, and liraglutide lowered both total cholesterol and LDL-C
(Figure 1, Table S2). No clinically meaningful changes in HDL-C level were noted.
Comparison among GLP-1RAs for cardiometabolic outcomes
Glycaemic control
Compared to EBID, treatment with dulaglutide, liraglutide, once-weekly exenatide and
taspoglutide showed greater HbA1c reduction, with differences of 0.51% (95% CI: 0.34,
0.68), 0.45% (0.31, 0.59), 0.38% (0.21, 0.55), and 0.30% (0.13, 0.46) respectively while
albiglutide showed no difference. Corresponding FPG reductions were 1.04mmol/L (0.54,
1.53) for dulaglutide, 0.93mmol/L (0.56, 1.31) for liraglutide, 0.85mmol/L (0.41,1.28) for
once-weekly exenatide, and 0.75mmol/L (0.32,1.18) for taspoglutide; no significant
difference was found between albiglutide and EBID (Table 2).
When compared to lixisenatide, HbA1c differences were 0.66% (0.46, 0.86) with dulaglutide,
0.60% (0.43, 0.77) with liraglutide, 0.53% (0.31, 0.75) with once-weekly exenatide, 0.45%
(0.26, 0.64) with taspoglutide, and 0.39% (0.07, 0.72) with albiglutide. Corresponding FPG
reductions were 1.23mmol/L (0.65, 1.81) for dulaglutide, 1.13mmol/L (0.66, 1.60) for
liraglutide, 1.05mmol/L (0.47, 1.63) for once-weekly exenatide, and 0.95mmol/L (0.45, 1.45)
for taspoglutide; there was no significant difference between albiglutide and lixisenatide
(Table 2).
Amongst all GLP-1RAs comparisons, the largest reductions in HbA1c (0.66%; 0.46, 0.86)
and FPG (1.23mmol/L; 0.31, 1.87) were observed with dulaglutide vs lixisenatide. Within
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le short-acting agents, no significant differences were noted for both HbA1c and FPG; similarly,
no differences were observed for the same outcomes when long-acting agents were compared
against each other.
Body weight
Among all possible comparisons of GLP-1RAs, the only differences noted were reduction of
0.89kg (0.01, 1.76) with EBID vs lixisenatide and 1.17kg (0.19, 2.15) with liraglutide vs
lixisenatide (Table 2).
Blood pressure and lipid profile
For SBP, among all possible GLP-1RAs comparisons the only difference was between
liraglutide and taspoglutide (2.40mmHg; 0.21, 4.59 reduction in favour of liraglutide).
Regarding DBP, EBID lowered it to a significantly greater extent than taspoglutide
(1.41mmHg; 0.03, 2.78), dulaglutide (1.07mmHg; 0.15, 1.99) and liraglutide (0.88mmHg;
0.94, 1.72) while no differences were noted for DBP among long-acting GLP-1RAs (Table 2).
Compared to EBID, HR was 2.21bmp (1.05, 3.37), 2.18 bpm (0.92, 3.44), and 1.51bpm (0.41,
2.61) higher with liraglutide, once-weekly exenatide, and dulaglutide, respectively (Table 2).
Corresponding values vs lixisenatide were 3.48 (1.96, 5.01) increase for liraglutide, 3.45
(1.36, 5.55) for once-weekly exenatide, and 2.79 (1.25, 4.32) for dulaglutide. Among all
GLP-1RAs, the treatment with liraglutide resulted in the greatest increase in heart rate of
3.48bpm (1.96, 5.01) compared to lixisenatide. Within short-acting agents, no significant
differences were noted for HR; similarly, no differences were observed when long-acting
agents were compared against each other.
Only marginal differences were found for the lipid profile among all GLP-1RAs (Table 2).
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le The network meta-analytical comparisons between lixisenatide and other GLP-1RAs for SBP,
DBP, and lipid parameters was not possible from available published RCTs. Statistical
inconsistencies of the networks were not significant for all cardiometabolic outcomes.
Comparison vs Placebo for Safety outcomes
Hypoglycaemia
Total hypoglycaemic events were reported in 12761 subjects; all GLP-1RAs except
albiglutide significantly increased the risk of hypoglycaemia compared to placebo from a
minimum OR of 1.59 (1.10, 2.31) for lixisenatide to a maximum OR of 3.74 (1.51, 2.24) for
taspoglutide (Figure 2, Table S3); results were consistent after excluding studies reporting
background sulphonylurea and insulin therapy (Table S3).
Gastrointestinal side-effects
Data on treatment-associated nausea, vomiting and diarrhoea were available in 12258, 11835,
and 12064 subjects, respectively. Compared to placebo, all GLP-1RAs had significantly
higher risk of nausea (except albiglutide), vomiting, and diarrhoea (except taspoglutide and
lixisenatide). The highest risks were with taspoglutide for nausea (OR 8.28; 4.16, 16.13) and
vomiting (10.33; 4.42, 24.15) and with albiglutide for diarrhoea (3.25; 1.59, 6.64) (Table S3).
Other side effects
Imprecise estimates were found in the injection site reactions analyses, possibly due to
heterogeneous outcomes definitions across studies. Compared to placebo, available data
suggested an increased risk with lixisenatide and, particularly, taspoglutide (Table S3).
Comparison among GLP-1RAs for safety outcomes
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le Hypoglycaemia
Among all GLP-1RAs comparisons, the risk of hypo was not significantly different (Table 3).
Statistical inconsistency was found for hypoglycaemia only in the main analysis (p=0.044;
analysis excluding background sulphonylurea and insulin, p=0.118).
Gastrointestinal side-effects
Both EBID and lixisenatide increased the risk of nausea compared to albiglutide (OR 3.35
and 3.07, respectively) and once-weekly exenatide (OR 2.38 and 2.17, respectively) (Table 3).
No difference was found between EBID and lixisenatide. Among long-acting agents,
taspoglutide (OR 3.67), dulaglutide (OR 2.94), and liraglutide (OR 2.64) increased the risk of
nausea compared to once-weekly exenatide; a similarly pattern was found when these three
drugs were compared to albiglutide. The largest differences amongst all comparisons was
between taspoglutide vs albiglutide (OR 5.20; 1.71, 15.80).
The risk of vomiting was lower comparing once-weekly exenatide vs EBID (OR 0.52) and
higher comparing taspoglutide vs lixisenatide (OR 2.66). No difference was found between
EBID and lixisenatide. Among long-acting agents, taspoglutide (OR 4.64), dulaglutide (2.70),
and liraglutide (OR 2.39) had an increased risk of vomiting compared to once-weekly
exenatide and taspoglutide vs albiglutide (OR 3.83). The largest differences amongst all
comparisons was between taspoglutide vs once-weekly exenatide (OR 4.64; 1.68. 12.77).
The risk of diarrhoea was lower with EBID vs liraglutide (OR 0.67) and with lixisenatide vs
liraglutide (OR 0.45), dulaglutide (OR 0.42) and albiglutide (OR 0.40; 0.19, 0.87); no
significant differences were within short-acting and within long-acting agents (Table 3). The
largest differences amongst all comparisons was between albiglutide and lixisenatide (OR
2.50; 1.15, 5.26).
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le Discussion
GLP-1RAs are a class of therapeutic agents available for the management of hyperglycaemia
in people with type 2 diabetes. ADA/EASD treatment algorithm recommends the use of
GLP-1RAs as a second line therapy when glucose control on metformin alone is inadequate
[9]. However, no specific recommendations are made as to which GLP-1RAs should be
chosen. In individual RCTs, GLP-1RAs have been shown to improve glycaemic control with
weight loss compared to other conventional glucose lowering agents. However, there is
limited evidence from ‘head-to-head’ studies comparing the efficacy and safety of GLP-
1RAs. As a result, decision-makers have to rely mainly on anecdotal evidence and clinical
judgement in choosing a particular agent among all available GLP-RAs. To help clarify the
evidence, we have conducted a systematic review and mixed-treatment comparison meta-
analysis aiming to compare GLP-1RAs across a wide range of clinically relevant outcomes.
These results could provide unified hierarchies of evidence for GLP-1RAs in the holistic
management of hyperglycaemia in T2DM.
We presented efficacy and treatment-related adverse event results against placebo and
compared GLP-1RAs against each other to aid decision makers in selecting the appropriate
agent. When compared to placebo, all GLP-1RAs significantly improved both HbA1c and
FPG, the greatest reduction being with dulaglutide (1.2% and 1.97 mmol/L, respectively).
Compared to short-acting agents (EBID and lixisenatide), our results showed that the long-
acting agents dulaglutide, liraglutide, and once-weekly exenatide all resulted in significantly
greater HbA1c reduction. Treatment with dulaglutide was associated with the greatest HbA1c
reduction of 0.51% followed by liraglutide (0.45%) and once-weekly exenatide (0.38%) vs
EBID; the pattern of reduction for these three drugs was similar when compared against
lixisenatide. Likewise, there was a significant reduction in FPG with dulaglutide, liraglutide,
and once-weekly exenatide compared to EBID or lixisenatide. However, short-acting agents
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le (EBID and lixisenatide) were similar in terms of HbA1c and FPG lowering efficacy when
compared with each other; similarly, there were no differences for the same outcomes across
long-acting agents.
Previous studies have shown that GLP-1RAs are effective in reducing body weight and blood
pressure compared to placebo [56, 57]. Our results are in line with these observations as they
show a reduction of body weight and particularly of systolic blood pressure when compared
to placebo; however, we did not find clinically meaningful differences across all GLP-1RAs
for these two outcomes. Regarding lipid profiles, differences between each GLP-1RAs vs
placebo and across all GLP-1RAs were clinically marginal.
Notably, available data showed that twice-daily and once-weekly exenatide, liraglutide, and
dulaglutide significantly raised heart rate vs placebo from a minimum of 1.1bpm for EBID to
a maximum of 3.3bpm for liraglutide. The highest difference was found between liraglutide
and lixisenatide (3.5bpm) although no differences were noted within short-acting agents or
within long-acting agents.
Compared to placebo, taspoglutide was associated with the highest (4-times) and lixisenatide
with the lowest (1.6-times) risk of hypoglycaemia. However, no difference were noted among
all GLP-1RAs when compared against each other. Treatment-associated gastrointestinal
symptoms are well-recognised adverse effects of GLP-1RAs and are demonstrated to be
higher when compared to placebo or other common glucose lowering therapies [58]. While
our results have confirmed an increased risk of gastrointestinal side effects compared to
placebo, we also noted important differences among GLP-1RAs for nausea, vomiting and
diarrhoea. Albiglutide had the lowest risk of nausea (5-times lower than taspoglutide) and
diarrhoea (2.5-times lower than lixisenatide) and once-weekly exenatide of vomiting (5-times
lower than taspoglutide).
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le Overall, our findings showed that treatments with the long acting GLP-1RAs dulaglutide,
liraglutide, and once-weekly exenatide resulted in greater glycaemic efficacy but not
clinically meaningful differences in blood pressure, body weight, lipid profile, or risk of
hypoglycaemia when compared to short-acting agents. Across theses three long-acting agents,
however, once-weekly exenatide had the lowest risk of nausea and vomiting.
To the best of our knowledge, this is the first attempt to systematically compare all available
GLP-1RAs combining several clinically-meaningful efficacy and safety outcomes
simultaneously and comprehensively. We have pooled data from published RCTs with a
mixed-treatment comparison meta-analytical approach aiming to fulfil the gap in providing
decision-makers with evidence to choose the appropriate agents considering specific
advantages and disadvantages of each agent. We therefore collated data for multiple
outcomes relevant to clinical practice (i.e., HbA1c, FPG, body weight, blood pressure, lipid
profile, hypoglycaemia, and common gastrointestinal side-effects). However, we should also
acknowledge some shortcomings of this study. First, it should be noted that postprandial
glucose, along with FPG, contributes to the overall glycaemic control [59]. Although several
studies suggest short acting GLP-1RAs, lixisenatide and EBID, exert a greater effect of on
postprandial glucose [60-62], we could not assess the comparative efficacy of GLP-1RAs on
this outcome given its variable definition and very limited availability of these data across all
GLP-1RAs studies. Similarly, injection site reactions are common to these treatments. Direct
comparisons would suggest more injection site reactions with once-weekly exenatide,
albiglutide, and taspoglutide compared to exenatide and liraglutide due to the differences in
formulation and delivery technology [42-45, 54] but data were inconsistently reported in the
included RCTs limiting the possibility to combine and compare them analytically. Second,
some characteristics (population included, duration of follow-up, background therapies and
quality of studies) differ across included RCTs. Differences in background therapies are
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le particularly relevant as cardiometabolic effects of GLP-1RAs may differ when these agents
are added to metformin, insulin, thiazolidinedione, or sulphonylurea. Third, the search was
based only on published papers. Although the risk of publication bias should be lower for
RCTs compared to other study types, yet it is possible that some studies have been conducted
and not registered and/or reported (e.g. fully published SUSTAIN studies for semaglutide
fulfilling inclusion criteria were not reported at the time of literature search). Fourth, we used
“intermediate” surrogate biomarkers of vascular disease; future long-term head-to-head RCTs
would clarify whether these differences translate to different ‘hard’ outcomes. As of
September 30th 2016, three placebo-controlled studies assessing cardiovascular outcomes
have been published. Short acting GLP-1RA lixisenatide showed neutral effect on major
adverse cardiovascular events (cardiovascular death, nonfatal MI or nonfatal stroke) while
the long-acting GLP-1RAs, liraglutide and semaglutide, demonstrated 13% and 26% relative
risk reduction in the LEADER and SUSTAIN-6 study, respectively [63-65]. Other ongoing
studies EXSCEL (once-weekly exenatide) and REWIND (dulaglutide) are awaiting to be
reported. Fifth, although a number of potential sensitivity analyses are possible, we assessed
the risk of hypoglycaemia excluding studies with background SU and insulin as we deemed it
more clinically relevant. Lastly, this meta-analysis shares the same drawbacks common to
other network analyses [66].
In conclusion, although there are no differences when short-acting agents are compared
against each-other and when long-acting agents are compared against each-other, available
data indicate dulaglutide, liraglutide, and once-weekly exenatide are superior to EBID and
lixisenatide at lowering HbA1c and FPG. There are no differences in hypoglycaemia between
these three agents whilst once-weekly exenatide has a lowest risk of nausea and vomiting.
The choice among these agents should be tailored taking into account their differences in
safety and efficacy along with patient’s targets and needs.
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le AUTHOR CONTRIBUTION ZZH, FZ, MJD study idea and design
ZZH, DP, FZ literature search and data extraction
FZ data analysis
ZZH, DP, FZ, DW, KK, MJD study critical revision and manuscript draft
All authors provided final approval of the version to publish. ZZH is the study guarantor.
Statistical codes and datasets are available from the corresponding Author (ZZH).
ACKNOWLEDGMENTS
We acknowledge the support of the following institutes in this work: the National Institute
for Health Research, Collaboration for Leadership in Applied Health Research and Care -
East Midlands (NIHR CLARHC East Midlands); the National Institute for Health Research
(NIHR) Diet, Lifestyle & Physical Activity Biomedical Research Unit based at University
Hospitals of Leicester and Loughborough University. The views expressed are those of the
authors and not necessarily those of the NHS, the NIHR or the Department of Health.
CONFLICT OF INTEREST
KK has acted as a consultant and speaker for Novartis, Novo Nordisk, Sanofi-Aventis, Lilly
and Merck Sharp & Dohme. He has received grants in support of investigator and
investigator initiated trials from Novartis, Novo Nordisk, Sanofi-Aventis, Lilly, Pfizer,
Boehringer Ingelheim and Merck Sharp & Dohme. KK has received funds for research,
honoraria for speaking at meetings and has served on advisory boards for Lilly, Sanofi-
Aventis, Merck Sharp & Dohme and Novo Nordisk.
MJD has acted as consultant, advisory board member and speaker for Novo Nordisk, Sanofi-
Aventis, Lilly, Merck Sharp & Dohme, Boehringer Ingelheim, AstraZeneca and Janssen and
This article is protected by copyright. All rights reserved.
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le as a speaker for Mitsubishi Tanabe Pharma Corporation. She has received grants in support
of investigator and investigator initiated trials from Novo Nordisk, Sanofi-Aventis and Lilly.
DRW has received grant in support of investigator initiated studies and honoraria from
Sanofi-Aventis and Novo Nordisk. All other Authors have no conflict of interests to disclose.
Funding Source: FZ is a Clinical Research Fellow funded with an Educational Grant from
Sanofi-Aventis to the University of Leicester. The research was supported by the National
Institute for Health Research (NIHR) Diet, Lifestyle & Physical Activity Biomedical
Research Unit based at University Hospitals of Leicester and Loughborough University; and
the NIHR CLARHC East Midlands. The views expressed are those of the authors and not
necessarily those of the Sanofi-Aventis, NHS, the NIHR or the Department of Health.
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le References
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le in Patie A Rand [63] and Acu 2257 [64] Outcom [65] Patients [66] network
Figure
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le Table 1: Baseline characteristics of the included studies
Drugs Year Study First Author Background Therapy Study duration
(weeks) Total
participants (N) Females
(%) Age^ (years)
HbA1c^ (%)
Diabetes duration^ (years)
Short‐acting GLP1‐RAs vs Placebo EBID, PLA 2004 NCT 00765817 Buse SU 30 259 42.9 59.0 8.4 12.0 EBID, PLA 2005 PMID 15855571 Kendall MET+SU 30 488 42.4 55.5 8.5 9.1 EBID, PLA 2005 PMID 15855572 DeFronzo MET 30 226 40.3 53.0 8.2 5.8 EBID, PLA 2008 NCT 00381342 Moretto Diet + PA 24 155 42.0 54.0 7.8 1.5 EBID, PLA 2010 PMID 20399326 Apovian Diet + PA 24 194 62.5 54.8 7.6 5.5 EBID, PLA 2010 PMID 20977576 Liutkus TZD±MET 26 165 40.6 54.7 8.2 6.3 LIXI, PLA 2012 GetGoal‐L‐Asia Seino Basal ± SU 24 311 52.1 58.3 8.5 13.9 LIXI, PLA 2013 GetGoal‐Duo 1 Riddle Basal + MET ± TZD 24 446 50.0 56.0 7.6 9.2 LIXI, PLA 2013 GetGoal‐L Riddle Basal ± MET 24 495 46.3 57.0 8.4 12.5 LIXI, PLA 2013 GetGoal‐P Pinget PIO ± MET 24 484 47.7 55.8 8.1 8.1 LIXI, PLA 2014 GetGoal‐F1 Bolli MET 24 482 55.3 56.1 8.1 6.0 LIXI, PLA 2014 GetGoal‐S Rosenstock SU ± MET 24 859 49.5 57.3 8.3 9.3 Long‐acting GLP1‐RAs vs Placebo LIR, PLA 2009 LEAD 1 SU Marre SU 26 348 48.8 55.3 8.5 6.5# LIR, PLA 2009 LEAD 2 Nauck MET 26 363 40.7 56.5 8.4 8.0 LIR, PLA 2009 LEAD 4 Met TZD Zinman MET ± ROS 26 355 43.5 55.0 8.5 9.0 LIR, PLA 2009 LEAD 5 Met + SU Russell‐Jones MET + SU 26 346 46.6 57.6 8.3 9.3 LIR, PLA 2015 MDI Liraglutide trial Lind MDI ± MET 24 124 35.5 63.6 9.0 17.2 LIR, PLA 2015 NCT 01617434 Ahmann Basal ± MET 26 450 43.2 58.4 8.3 ‐ DUL, PLA 2014 AWARD 5 Nauck MET 26 481 50.9 54.4 8.1 7.0 DUL, PLA 2016 AWARD 8 Dungan SU 24 299 55.9 57.8 8.4 7.6 TAS, PLA 2012 T‐Emerge 1 Raz Diet + PA 24 252 63.5 55.4 7.7 2.2 TAS, PLA 2012 T‐Emerge 3 Henry MET+TZD 24 207 48.3 55.0 8.1 7.9 TAS, PLA 2012 T‐Emerge 4 Bergenstal MET 24 277 48.0 56.3 8.0 5.6 TAS, PLA 2013 T‐Emerge 7 Hollander MET 24 292 59.2 53.5 7.6 5.1 Comparisons between GLP‐1RAs ALB*, LIR 2014 HARMONY 7 Pratley MET ± SU ± TZD 32 812 50.0 55.6 8.2 8.4 DUL, EBID, PLA 2014 AWARD 1 Wysham MET + PIO 26, 52~ 696 42.6 55.4 8.1 9.0 DUL, LIR 2014 AWARD 6 Dungan MET 26 599 52.0 56.7 8.1 7.2 EBID, EQW 2008 DURATION 1 Drucker Diet/PA/MET/SU/TZD 30 295 46.8 55.0 8.3 6.5 EBID, EQW 2011 DURATION 5 Belvins MET ± SU ± TZD 24 252 42.4 55.5 8.5 7.0 EBID, EQW 2013 NCT 00917267 Ji MET ± SU ± TZD 26 678 45.9 55.5 8.7 8.2 LIR, EBID 2009 LEAD 6 Buse MET ± SU 26 464 48.0 56.7 8.2 8.2 LIR, EQW 2013 DURATION 6 Buse MET ± SU ± PIO 26 911 45.5 57.0 8.5 8.5 LIXI, EBID 2013 GetGoal‐X Rosenstock MET 24 634 46.7 57.4 8.0 6.8 TAS, EBID 2013 T‐Emerge 2 Rosenstock MET ± TZD 24, 52~ 765 49.5 55.5 8.1 6.8
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le ^ When not reported for the overall population, values have been estimated as weighted means; ~ Shorter follow‐up data used; * 30 to 50mg; # median
ALB, albiglutide; DUL, dulaglutide; EBID, twice‐daily exenatide; EQW, once‐weekly exenatide; LIR, liraglutide; LIXI, lixisenatide; TAS, taspoglutide; PLA, placebo. OADs, oral glucose–lowering drugs; PA, physical activity; PIO, pioglitazone; ROS, rosiglitazone; INS, insulin therapy; Basal, basal insulin; MET, metformin; TZD, thiazolidinedione; SU, sulphonylurea; MDI, multiple daily injection; PMID, PubMed identification number
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le Table 2: Comparisons of GLP‐1 RAs for cardiometabolic outcomes
Total Cholesterol (mmol/l) LDL Cholesterol (mmol/l)
TAS TAS
LIXI ‐ LIXI ‐
LIR ‐ 0.09
(‐0.11,0.29) LIR ‐
0.04 (‐0.11,0.19)
EQW 0.02
(‐0.12,0.16) ‐
0.11 (‐0.10,0.32)
EQW 0.02
(‐0.08,0.12) ‐
0.05 (‐0.11,0.22)
EBID ‐0.14
(‐0.26,‐0.03) ‐0.13
(‐0.25,‐0.00) ‐
‐0.04 (‐0.22,0.15)
EBID ‐0.07
(‐0.16,0.01) ‐0.05
(‐0.15,0.04) ‐
‐0.02 (‐0.16,0.13)
DUL 0.15
(0.00,0.30) 0.01
(‐0.17,0.18) 0.03
(‐0.12,0.17) ‐
0.12 (‐0.10,0.33)
DUL 0.10
(‐0.01,0.21) 0.03
(‐0.10,0.15) 0.04
(‐0.06,0.15) ‐
0.08 (‐0.08,0.24)
ALB 0.06
(‐0.18,0.29) 0.21
(‐0.01,0.43) 0.07
(‐0.16,0.29) 0.08
(‐0.10,0.27) ‐
0.18 (‐0.09,0.44)
ALB 0.12
(‐0.05,0.28) 0.21
(0.06,0.37) 0.14
(‐0.02,0.30) 0.16
(0.03,0.29) ‐
0.20 (‐0.00,0.40)
HDL Cholesterol (mmol/l) Triglycerides (mmol/l)
TAS TAS
LIXI ‐ LIXI ‐
LIR ‐
‐0.02 (‐0.06,0.02)
LIR ‐ 0.17
(‐0.06,0.40)
EQW
0.01 (‐0.02,0.03)
‐ ‐0.01
(‐0.06,0.03) EQW
‐0.18 (‐0.35,‐0.00)
‐ ‐0.01
(‐0.21,0.20)
EBID
0.01 (‐0.01,0.02)
0.01 (‐0.01,0.03)
‐ ‐0.01
(‐0.05,0.03) EBID
‐0.00 (‐0.00,0.00)
‐0.18 (‐0.35,‐0.00)
‐ ‐0.01
(‐0.21,0.20)
DUL
‐0.01 (‐0.03,0.01)
‐0.01 (‐0.03,0.02)
‐0.00 (‐0.02,0.02)
‐ ‐0.02
(‐0.07,0.03) DUL
0.18 (0.03,0.34)
0.18 (0.03,0.34)
0.01 (‐0.16,0.18)
‐ 0.18
(‐0.06,0.41)
ALB ‐0.02
(‐0.05,0.01) ‐0.03
(‐0.06,0.00) ‐0.02
(‐0.06,0.01) ‐0.02
(‐0.04,0.00) ‐
‐0.04 (‐0.09,0.01)
ALB ‐0.08
(‐0.32,0.16) 0.10
(‐0.13,0.34) 0.10
(‐0.13,0.34) ‐0.07
(‐0.24,0.09) ‐
0.10 (‐0.19,0.38)
Systolic Blood Pressure (mmHg) Diastolic Blood Pressure (mmHg)
TAS TAS
LIXI ‐ LIXI ‐
LIR ‐ 2.40
(0.21,4.59) LIR ‐
0.53 (‐0.85,1.90)
EQW ‐0.40
(‐1.69,0.88) ‐
2.00 (‐0.40,4.39)
EQW 0.24
(‐0.60,1.08) ‐
0.77 (‐0.73,2.26)
EBID ‐0.21
(‐1.51,1.09) ‐0.61
(‐1.92,0.69) ‐
1.79 (‐0.47,4.04)
EBID 0.64
(‐0.20,1.48) 0.88
(0.04,1.72) ‐
1.41 (0.03,2.78)
DUL ‐0.08
(‐1.54,1.39) ‐0.29
(‐1.95,1.38) ‐0.69
(‐2.02,0.64) ‐
1.71 (‐0.54,3.96)
DUL ‐1.07
(‐1.99,‐0.15) ‐0.43
(‐1.48,0.63) ‐0.18
(‐1.01,0.64) ‐
0.34 (‐1.04,1.72)
ALB ‐ ‐ ‐ ‐ ‐ ‐ ALB ‐ ‐ ‐ ‐ ‐ ‐
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le Table 2 (cont’d): Comparisons of GLP‐1 RAs for cardiometabolic outcomes
Heart Rate (bpm) HbA1c (%) TAS TAS
LIXI ‐
LIXI ‐0.45
(‐0.64,‐0.26)
LIR ‐3.48
(‐5.01,‐1.96) ‐
LIR
0.60 (0.43,0.77)
0.15 (‐0.03,0.34)
EQW 0.03
(‐1.68,1.74) ‐3.45
(‐5.55,‐1.36) ‐
EQW
‐0.07 (‐0.26,0.12)
0.53 (0.31,0.75)
0.09 (‐0.14,0.32)
EBID 2.18
(0.92,3.44) 2.21
(1.05,3.37) ‐1.27
(‐2.95,0.40) ‐
EBID
‐0.38 (‐0.55,‐0.21)
‐0.45 (‐0.59,‐0.31)
0.15 (‐0.00,0.30)
‐0.30 (‐0.46,‐0.13)
DUL ‐1.51
(‐2.61,‐0.41) 0.67
(‐1.00,2.34) 0.70
(‐0.16,1.55) ‐2.79
(‐4.32,‐1.25) ‐ DUL
0.51 (0.34,0.68)
0.13 (‐0.10,0.35)
0.06 (‐0.11,0.23)
0.66 (0.46,0.86)
0.21 (0.00,0.42)
ALB ‐ ‐ ‐ ‐ ‐ ‐ ALB ‐0.27
(‐0.59,0.06) 0.24
(‐0.07,0.55) ‐0.14
(‐0.48,0.19) ‐0.21
(‐0.49,0.07) 0.39
(0.07,0.72) ‐0.06
(‐0.39,0.28)
Fasting Plasma Glucose (mmol/l) Body Weight (kg) TAS TAS
LIXI ‐0.95
(‐1.45,‐0.45)
LIXI
‐0.75 (‐1.86,0.36)
LIR 1.13
(0.66,1.60) 0.18
(‐0.30,0.66)
LIR
1.17 (0.19,2.15)
0.42 (‐0.69,1.53)
EQW ‐0.08
(‐0.58,0.41) 1.05
(0.47,1.63) 0.10
(‐0.49,0.68)
EQW
‐0.47 (‐1.59,0.65)
0.71 (‐0.55,1.97)
‐0.04 (‐1.40,1.32)
EBID ‐0.85
(‐1.28,‐0.41) ‐0.93
(‐1.31,‐0.56) 0.20
(‐0.22,0.61) ‐0.75
(‐1.18,‐0.32)
EBID
0.18 (‐0.80,1.16)
‐0.29 (‐1.12,0.54)
0.89 (0.01,1.76)
0.14 (‐0.87,1.14)
DUL 1.04
(0.54,1.53) 0.19
(‐0.44,0.81) 0.10
(‐0.39,0.60) 1.23
(0.65,1.81) 0.28
(‐0.31,0.87) DUL
‐0.10 (‐1.13,0.92)
0.07 (‐1.27,1.42)
‐0.39 (‐1.42,0.64)
0.78 (‐0.35,1.92)
0.03 (‐1.22,1.28)
ALB ‐0.56
(‐1.46,0.33) 0.47
(‐0.36,1.31) ‐0.38
(‐1.27,0.52) ‐0.46
(‐1.20,0.28) 0.67
(‐0.21,1.55) ‐0.28
(‐1.17,0.61) ALB
‐1.16 (‐3.21,0.89)
‐1.26 (‐3.22,0.69)
‐1.08 (‐3.18,1.01)
‐1.55 (‐3.32,0.22)
‐0.38 (‐2.40,1.65)
‐1.13 (‐3.22,0.96)
Data are reported as mean difference (95% confidence interval) and indicate column‐to‐row differences (i.e. compared with lixisenatide, taspoglutide reduces HbA1c by 0.45%). Statistically significant differences are in bold. HbA1c, glycated haemoglobin; ALB, albiglutide; DUL, dulaglutide; EBID, twice‐daily exenatide; EQW, once‐weekly exenatide; LIR, liraglutide; LIXI, lixisenatide; TAS, taspoglutide. P‐values indicate statistical inconsistency for the network
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Hypoglycaemia Nausea
TAS TAS
LIXI 2.35
(0.88,6.24) LIXI
1.70 (0.78,3.67)
LIR 0.93
(0.54,1.59) 2.19
(0.81,5.89) LIR
0.82 (0.48,1.39)
1.39 (0.61,3.14)
EQW 0.91
(0.52,1.58) 0.85
(0.43,1.66) 1.98
(0.68,5.83) EQW
2.64 (1.60,4.36)
2.17 (1.22,3.85)
3.67 (1.56,8.62)
EBID 0.75
(0.45,1.24) 0.68
(0.44,1.04) 0.63
(0.38,1.03) 1.48
(0.56,3.94) EBID
0.42 (0.28,0.64)
1.12 (0.74,1.70)
0.92 (0.60,1.40)
1.55 (0.73,3.33)
DUL 0.92
(0.50,1.67) 0.69
(0.33,1.42) 0.62
(0.34,1.13) 0.58
(0.29,1.16) 1.36
(0.46,4.02) DUL
0.80 (0.46,1.39)
0.34 (0.18,0.65)
0.90 (0.52,1.56)
0.74 (0.39,1.40)
1.25 (0.51,3.06)
ALB 2.07
(0.76,5.66) 1.90
(0.76,4.76) 1.42
(0.53,3.78) 1.29
(0.57,2.89) 1.20
(0.45,3.17) 2.81
(0.78,10.11) ALB
4.17 (1.64,10.60)
3.35 (1.41,7.93)
1.42 (0.57,3.50)
3.75 (1.76,7.96)
3.07 (1.22,7.69)
5.20 (1.71,15.80)
Vomiting Diarrhoea
TAS TAS
LIXI 2.66
(1.01,7.01) LIXI
1.03 (0.46,2.31)
LIR 0.73
(0.40,1.34) 1.94
(0.72,5.24) LIR
0.45 (0.28,0.73)
0.46 (0.20,1.07)
EQW 2.39
(1.44,3.95) 1.74
(0.92,3.31) 4.64
(1.68,12.77) EQW
1.49 (0.93,2.39)
0.67 (0.38,1.16)
0.69 (0.28,1.67)
EBID 0.52
(0.34,0.79) 1.23
(0.81,1.88) 0.90
(0.55,1.48) 2.39
(0.94,6.07) EBID
1.00 (0.66,1.52)
1.49 (1.01,2.20)
0.67 (0.45,1.01)
0.69 (0.31,1.56)
DUL 0.71
(0.41,1.21) 0.37
(0.19,0.70) 0.87
(0.50,1.52) 0.64
(0.31,1.29) 1.70
(0.59,4.87) DUL
0.62 (0.37,1.05)
0.62 (0.34,1.16)
0.93 (0.56,1.54)
0.42 (0.23,0.76)
0.43 (0.17,1.07)
ALB 2.26
(0.90,5.68) 1.60
(0.68,3.74) 0.83
(0.34,2.02) 1.97
(0.94,4.12) 1.44
(0.55,3.74) 3.83
(1.11,13.19) ALB
0.96 (0.44,2.10)
0.60 (0.29,1.22)
0.60 (0.28,1.29)
0.89 (0.49,1.63)
0.40 (0.19,0.87)
0.41 (0.15,1.16)
Injection Site Reaction
TAS
LIXI 9.59
(0.44,211.15)
LIR 8.52
(1.20,60.30) 81.64
(2.14,3109.93)
EQW 0.17
(0.04,0.68) 1.43
(0.32,6.39) 13.67
(0.44,420.21)
EBID 3.80
(1.81,7.99) 0.64
(0.13,3.01) 5.43
(1.43,20.61) 52.01
(1.81,1495.96)
DUL 2.52
(0.21,30.87) 9.60
(0.82,112.97) 1.61
(0.17,15.51) 13.68
(1.01,184.93) 131.18
(2.41,7148.37)
ALB 0.10
(0.01,1.47) 0.26
(0.03,2.08) 1.00
(0.14,7.07) 0.17
(0.04,0.66) 1.42
(0.13,15.54) 13.60
(0.28,666.59)
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Data are reported as odds ratio (95% confidence interval) and indicate column‐to‐row ratios [i.e. compared with albiglutide, lixisenatide is associated with an odds ratio of 3.07 of nausea; compared to albiglutide, lixisenatide is associated with an odds ratio of 0.40 of diarrhoea, or equivalently albiglutide increases the risk by an odds ratio of 2.50 (=1/0.40)]. Statistically significant differences are in bold. ALB, albiglutide; DUL, dulaglutide; EBID, twice‐daily exenatide; EQW, once‐weekly exenatide; LIR, liraglutide; LIXI, lixisenatide; TAS, taspoglutide P‐values indicate statistical inconsistency for the network
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