LivingGLP1
Network meta-analysis

Vomiting

Children and adolescents with type 2 diabetes

longest follow-upRecorded harmsDoses of a drug pooledHazard ratio (from event counts)
5
Randomized trials
6
Treatments
420
Participants
49
Events

In plain language

Across 5 trials with 420 participants, 0 of 5 treatments had a clearly better result than placebo on vomiting, and for 5 the evidence could not tell them apart from placebo. The most favorable estimate was for Standard care or no added treatment: hazard ratio (from event counts) 0.15 (95% credible interval 0.00 to 2.94).

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_SCLIRA_SCLIXI_SCPLACEBOSTANDARD_CARE
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 Placebo

Hazard ratio (from event counts). Lower values favor the treatment.
0.010.020.050.10.20.250.51245102050100← favors treatmentfavors reference →Standard care or no added treatm…Lixisenatide injectionLiraglutide injectionDulaglutide injectionExenatide extended release injec…
Versus Placebo, log scale. 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 Placebo
TreatmentBayesian HR (95% CrI)95% prediction intervalFrequentist HR (95% CI)Verdict
Standard care or no added treatment
STANDARD_CARE
0.15 (0.00 to 2.94)0.00 to 3.58Unclear
Lixisenatide injection
LIXI_SC
3.33 (0.17 to 127)0.13 to 159Unclear
Liraglutide injection
LIRA_SC
3.47 (0.88 to 14.40)0.54 to 22.77Unclear
Dulaglutide injection
DULA_SC
3.97 (0.80 to 23.92)0.51 to 34.90Unclear
Exenatide extended release injection
EXENER_SC
4.36 (0.30 to 131)0.24 to 154Unclear

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: hazard ratio (from event counts) 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 columnPLACEBOSTANDARD_CARELIXI_SCLIRA_SCDULA_SCEXENER_SC
PLACEBOPLACEBO6.72
0.34 to 293
0.30
0.01 to 5.92
0.29
0.07 to 1.14
0.25
0.04 to 1.25
0.23
0.01 to 3.28
STANDARD_CARE0.15
0.00 to 2.94
STANDARD_CARE0.04
0.00 to 2.81
0.04
0.00 to 0.76
0.04
0.00 to 1.12
0.03
0.00 to 1.98
LIXI_SC3.33
0.17 to 127
25.15
0.36 to 4308
LIXI_SC0.97
0.04 to 46.67
0.83
0.03 to 43.62
0.75
0.01 to 71.31
LIRA_SC3.47
0.88 to 14.40
22.61
1.32 to 1228
1.03
0.02 to 26.13
LIRA_SC0.85
0.09 to 7.58
0.80
0.02 to 16.64
DULA_SC3.97
0.80 to 23.92
27.68
0.90 to 1771
1.20
0.02 to 39.08
1.18
0.13 to 10.61
DULA_SC0.91
0.02 to 22.52
EXENER_SC4.36
0.30 to 131
32.77
0.50 to 4679
1.33
0.01 to 108
1.25
0.06 to 48.99
1.10
0.04 to 44.36
EXENER_SC

Heterogeneity, fit and convergence

Bayesian random effects (primary)

Heterogeneity (tau)
0.376 (95% CrI 0.087 to 1.414), log scale
Residual deviance
9.3 for 10 data points
DIC
16.4 (pD 7.2)
Largest R-hat
1.001
Smallest ESS
bulk 4,702, tail 4,023
Divergent transitions
0
Convergence
All criteria met
Priors
PR02 N(0, 5^2); PR05 N(0, 2.5^2); PR09 log normal(-1.87, 1.52^2) on tau^2 (Adverse events, pharm vs placebo control)

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.

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
TrialSex (percent female)
effect modifier, prognostic factor; 5 of 5
Ellipse™
S000357
61.48
NCT01554618
S000457
58.43
AWARD-PEDS
S000604
71.43
NCT02803918
S000673
69.55
NCT02960659
S001259
56.16

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.
  • FlagBaseline, Sex: design means range from 56.2 (LIRA_SC vs STANDARD_CARE) to 71.4 (DULA_SC vs PLACEBO) percent female; threshold 15
  • NoteData handling, input conversions: arms_combined 1, nonserious_only 6
  • NoteOutcome assessment, time point: selected time points span 6.43 to 53 weeks
  • NoteOutcome assessment, definition: mixed: hypoglycemia adverse event, threshold not defined 1, not stated 4
  • NoteRisk of bias, blinding: mixed: double_blind 4, open_label 1
  • NoteRisk of bias, funding: mixed: industry 4, non_industry 1
Comparability items per trial
Trialtime weeksanalysis setdefinitioninstrumentadjudicatedproportion methodintercurrent events (discontinuation)intercurrent events (rescue)blindingfundingstart yearEligibility
Ellipse™53safetynot statednot statednot statednot statednot statednot stateddouble_blindindustry2012age 10 to under 17; BMI above 85th percentile; HbA1c 7.0 to 11.0 (6.5 to 11.0 if treated)
NCT0155461824safetynot statednot statednot statednot statednot statednot stateddouble_blindindustry2011age 10 to below 18; HbA1c 6.5 to 11.0 (12.0 if insulin or sulfonylurea)
AWARD-PEDS26safetynot statednot statednot statednot statednot statednot stateddouble_blindindustry2016children and adolescents with type 2 diabetes
NCT028039186.43safetynot statednot statednot statednot statednot statednot stateddouble_blindindustry2017Age 10 to 17; T2D on metformin and/or basal insulin; HbA1c above 6.5 to 11 percent; BMI above 85th percentile
NCT0296065912safetyhypoglycemia adverse event, threshold not definednot statednot statednot statednot statednot statedopen_labelnon_industry2017age 12 to 25 years; HbA1c 9 percent or less; diabetes 5 years or less; Tanner 4 to 5; African American

Trial data

What each trial contributes. Arm rows give the arm value with its standard error, or events over participants; contrast rows give the hazard ratio (from event counts) on the analysis scale (log) against the trial's first row. Flags mark converted, combined or approximated inputs.
Trial data entering this analysis
TrialArmTreatmentWeekDataValueSEEvents / NFlagsSource
Ellipse™A1LIRA_SC53arm, events17 / 66nonserious_onlyregistry:adverse_events
Ellipse™A2PLACEBO53arm, events6 / 69nonserious_onlyregistry:adverse_events
NCT01554618A1EXENER_SC24arm, events3 / 59R0017380:Table 2
NCT01554618A2PLACEBO24arm, events0 / 24R0017380:Table 2
AWARD-PEDSA1PLACEBO26arm, events2 / 51nonserious_onlyregistry:adverse_events
AWARD-PEDSA2+A3DULA_SC26arm, events16 / 103nonserious_only;arms_combinedregistry:adverse_events
NCT02803918A1LIXI_SC6.43arm, events2 / 18R0009184:Table 4
NCT02803918A2PLACEBO6.43arm, events0 / 5R0009184:Table 4
NCT02960659A1STANDARD_CARE12arm, events0 / 14nonserious_onlyregistry:adverse_events
NCT02960659A2LIRA_SC12arm, events3 / 11nonserious_onlyregistry:adverse_events

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.

Open in the NMA lab