LivingGLP1
Network meta-analysis

HbA1c change

Type 2 diabetes (adults); background therapy: one or more non insulin glucose lowering drugs

weeks 64 to 130 (target week 104)Hypothetical (as if everyone stayed on treatment)Doses of a drug pooledMean difference
2
Randomized trials
3
Treatments
1,245
Participants
4
Trial arms

In plain language

Across 2 trials with 1,245 participants, 0 of 2 treatments had a clearly better result than insulin glargine on HbA1c change, and for 2 the evidence could not tell them apart from insulin glargine. The most favorable estimate was for Exenatide extended release injection: mean difference -0.20 percentage points (95% credible interval -1.19 to 0.86).

Lower values favor the treatment. "Clearly" means the 95% credible interval excludes no difference. These are averages across trials; they do not say how any one person will respond. Not medical advice.

Network of trials

Each circle is a treatment; each line joins treatments that were randomized against each other in at least one trial.
DULA_SCEXENER_SCINS_GLARGINE
Node area shows participants; line width shows trials comparing two treatments directly. Blue: GLP-1 receptor agonist containing treatments; grey: comparators. Hover over or tab to a node or line for details.

Effects compared with Insulin glargine

Mean difference in percentage points. Lower values favor the treatment.
-1.5-1-0.500.51← favors treatmentfavors reference →Exenatide extended release injec…Dulaglutide injection
Versus Insulin glargine. Blue: Bayesian random effects posterior median with 95% credible interval (thick) and 95% prediction interval (dashed). Amber diamond: frequentist estimate with 95% confidence interval. Hover over or tab to a row for its values.
Effects of each treatment versus Insulin glargine
TreatmentBayesian MD (95% CrI)95% prediction intervalFrequentist MD (95% CI)Verdict
Exenatide extended release injection
EXENER_SC
-0.20 (-1.19 to 0.86)-1.68 to 1.29-0.20 (-0.48 to 0.08)Unclear
Dulaglutide injection
DULA_SC
-0.17 (-1.12 to 0.86)-1.56 to 1.26-0.17 (-0.34 to -0.00)Unclear

Ranking

How likely each treatment is to be among the best. Rankings ignore the size of differences and their certainty, so read them with the effects above.

League table

Every treatment against every other: mean difference of the row treatment versus the column treatment, posterior median and 95% credible interval. Green: row clearly better; red: row clearly worse.
Every treatment in a row compared with every treatment in a column
Row versus columnINS_GLARGINEEXENER_SCDULA_SC
INS_GLARGINEINS_GLARGINE0.20
-0.86 to 1.19
0.17
-0.86 to 1.12
EXENER_SC-0.20
-1.19 to 0.86
EXENER_SC-0.03
-1.40 to 1.45
DULA_SC-0.17
-1.12 to 0.86
0.03
-1.45 to 1.40
DULA_SC

Heterogeneity, fit and convergence

Bayesian random effects (primary)

Heterogeneity (tau)
0.329 (95% CrI 0.018 to 1.077)
Residual deviance
3.9 for 4 data points
DIC
7.9 (pD 3.9)
Largest R-hat
1.002
Smallest ESS
bulk 2,477, tail 2,371
Divergent transitions
0
Convergence
All criteria met
Priors
PR01 N(0, 5^2); PR03 N(0, 2.5^2); PR07 half normal(0, 0.5^2) on tau

Frequentist check (netmeta)

Method
inverse variance, REML, MD
Tau
0.000
Q (total)
0.00 on 0 df
Q (between designs)
0.00

Inconsistency

Do trials comparing two treatments directly agree with the indirect evidence through other treatments?

No comparison here has both direct and indirect evidence, so inconsistency cannot be checked by node splitting; the between designs Q above is the global check.

Small study effects

A comparison adjusted funnel plot: each point is one trial comparison, centered on its own network estimate. Asymmetry can signal that small trials with unfavorable results are missing.

Fewer than ten trial comparisons, too few to judge funnel plot asymmetry.

Baseline characteristics of the trials

The baseline value of each effect modifier or prognostic factor that applies here, per trial: mean or percent over arms, weighted by the number randomized. A note under a value names a stand in (a median for a mean, 100 minus the male share, Asian subgroup rows, an all Asian site list); "not reported" means no source of the trial prints it.
Baseline effect modifiers and prognostic factors per trial
TrialBaseline HbA1c (percent)
effect modifier, prognostic factor; 2 of 2
Background glucose lowering therapy (stratum S0 to S4)
effect modifier, prognostic factor; 2 of 2
Diabetes duration (years)
effect modifier, prognostic factor; 2 of 2
Asian ancestry or region (percent Asian)
effect modifier, prognostic factor; 2 of 2
Age (years)
prognostic factor; 2 of 2
Treatment duration (weeks)
effect modifier; 2 of 2
AWARD-2
S001130
8.14S19.116.9156.6678
NCT00641056
S001768
8.3S18657.9584

Comparability of the trials

Checked across designs (the set of treatments each trial compares) for eligibility, outcome definition and assessment, and the baseline factors above. Flags point to possible intransitivity; notes describe variation that is not tied to design.
  • FlagHeterogeneity, tau above threshold: tau 0.33 exceeds the outcome threshold 0.3; the flags of this network are candidate explanations
  • NoteData handling, input conversions: arms_combined 1
  • NoteOutcome assessment, time point: selected time points span 78 to 84 weeks
Comparability items per trial
Trialtime weeksanalysis setdefinitioninstrumentadjudicatedproportion methodintercurrent events (discontinuation)intercurrent events (rescue)blindingfundingstart yearEligibility
AWARD-278modified_ittnot statednot statednot statednot statednot statedhypotheticalopen_labelindustry2010type 2 diabetes on metformin and glimepiride
NCT0064105684modified_ittnot statednot statednot statednot statednot statedhypotheticalopen_labelindustry2008age 18 or older; HbA1c 7.1 to 11.0 percent; BMI 25 to 45; metformin with or without sulfonylurea

Trial data

What each trial contributes. Arm rows give the arm value with its standard error, or events over participants; contrast rows give the mean difference on the analysis scale against the trial's first row. Flags mark converted, combined or approximated inputs.
Trial data entering this analysis
TrialArmTreatmentWeekDataValueSEEvents / NFlagsSource
AWARD-2A1+A2DULA_SC78arm, change-0.7590.050530arms_combinedregistry:outcomes
AWARD-2A3INS_GLARGINE78arm, change-0.5900.070259registry:outcomes
NCT00641056A1EXENER_SC84arm, change-1.2000.100233R0027747:Results
NCT00641056A2INS_GLARGINE84arm, change-1.0000.100223R0027747:Results

Rerun this analysis yourself

Remove treatments or trials and refit the frequentist and Bayesian models in your browser, with the same methods as the published analysis.

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