LivingGLP1
Network meta-analysis

Weight loss of 5 percent or more

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

weeks 40 to 104 (target week 68)Hypothetical (as if everyone stayed on treatment)Doses of a drug pooledOdds ratio
3
Randomized trials
5
Treatments
1,074
Participants
274
Events

In plain language

Across 3 trials with 1,074 participants, 1 of 4 treatments had a clearly better result than placebo on weight loss of 5 percent or more, and for 3 the evidence could not tell them apart from placebo. The most favorable estimate was for Semaglutide tablet: odds ratio 6.07 (95% credible interval 1.90 to 15.40).

Higher 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_SCLIRA_SCPLACEBOSEMA_POSITAGLIPTIN
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

Odds ratio. Higher values favor the treatment.
0.20.250.512451020← favors referencefavors treatment →Semaglutide tabletLiraglutide injectionDulaglutide injectionSitagliptin
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 OR (95% CrI)95% prediction intervalFrequentist OR (95% CI)Verdict
Semaglutide tablet
SEMA_PO
6.07 (1.90 to 15.40)1.25 to 20.867.11 (3.49 to 14.47)Better
Liraglutide injection
LIRA_SC
2.28 (0.68 to 6.16)0.46 to 8.832.58 (1.25 to 5.31)Unclear
Dulaglutide injection
DULA_SC
2.11 (0.32 to 9.15)0.25 to 11.112.87 (0.80 to 10.26)Unclear
Sitagliptin
SITAGLIPTIN
1.02 (0.19 to 4.13)0.15 to 5.421.25 (0.40 to 3.94)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: odds ratio 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 columnPLACEBOSEMA_POLIRA_SCDULA_SCSITAGLIPTIN
PLACEBOPLACEBO0.16
0.06 to 0.53
0.44
0.16 to 1.48
0.47
0.11 to 3.16
0.98
0.24 to 5.17
SEMA_PO6.07
1.90 to 15.40
SEMA_PO2.68
0.95 to 6.81
2.86
0.83 to 12.97
5.93
1.84 to 20.29
LIRA_SC2.28
0.68 to 6.16
0.37
0.15 to 1.05
LIRA_SC1.08
0.23 to 6.33
2.22
0.54 to 10.69
DULA_SC2.11
0.32 to 9.15
0.35
0.08 to 1.21
0.93
0.16 to 4.26
DULA_SC2.06
0.31 to 12.51
SITAGLIPTIN1.02
0.19 to 4.13
0.17
0.05 to 0.54
0.45
0.09 to 1.87
0.49
0.08 to 3.19
SITAGLIPTIN

Heterogeneity, fit and convergence

Bayesian random effects (primary)

Heterogeneity (tau)
0.274 (95% CrI 0.057 to 1.145), log scale
Residual deviance
6.9 for 7 data points
DIC
13.8 (pD 6.9)
Largest R-hat
1.002
Smallest ESS
bulk 2,177, tail 2,473
Divergent transitions
0
Convergence
All criteria met
Priors
PR02 N(0, 5^2); PR05 N(0, 2.5^2); PR09 log normal(-2.53, 1.58^2) on tau^2 (General physical health indicators, pharm vs pharm)

Frequentist check (netmeta)

Method
inverse variance, REML, OR
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 BMI or body weight (kg/m2)
effect modifier, prognostic factor; 3 of 3
Sex (percent female)
effect modifier, prognostic factor; 3 of 3
Treatment duration (weeks)
effect modifier; 3 of 3
Lifestyle co-intervention intensity (none standard intensive)
effect modifier, prognostic factor; 3 of 3
PIONEER 4
S000133
32.944852not_reported
PIONEER 10
S000234
26.2625.7452not_reported
PIONEER 7
S001153
31.1943.45104not_reported

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, Baseline BMI or body weight: design means range from 26.3 (DULA_SC vs SEMA_PO) to 32.9 (LIRA_SC vs PLACEBO vs SEMA_PO) kg/m2; threshold 3
  • FlagBaseline, Sex: design means range from 25.7 (DULA_SC vs SEMA_PO) to 48.0 (LIRA_SC vs PLACEBO vs SEMA_PO) percent female; threshold 15
  • FlagBaseline, Treatment duration: design means range from 52.0 (DULA_SC vs SEMA_PO) to 104.0 (SEMA_PO vs SITAGLIPTIN) weeks; threshold 26
  • FlagRisk of bias, blinding: confounded with design: double_blind 1, open_label 1, single_blind 1
  • NoteOutcome assessment, analysis set: mixed: full_analysis 2, randomized 1
  • NoteOutcome assessment, definition: mixed: HbA1c below 7.0 percent 1, not stated 2
  • NoteOutcome assessment, proportion method: mixed: not stated 2, observed 1
  • NoteOutcome assessment, intercurrent events (discontinuation): mixed: hypothetical 2, not stated 1
  • NoteOutcome assessment, intercurrent events (rescue): mixed: hypothetical 2, not stated 1
  • NoteData handling, input conversions: arms_combined 1, count_from_percent 3
Comparability items per trial
Trialtime weeksanalysis setdefinitioninstrumentadjudicatedproportion methodintercurrent events (discontinuation)intercurrent events (rescue)blindingfundingstart yearEligibility
PIONEER 452full_analysisnot statednot statednot statedobservedhypotheticalhypotheticaldouble_blindindustry2016Age 18 or older; T2D on metformin with or without SGLT2i; HbA1c 7.0 to 9.5 percent; eGFR 60 or more
PIONEER 1052full_analysisHbA1c below 7.0 percentnot statednot statednot statedhypotheticalhypotheticalsingle_blindindustry2017Japanese adults 20 or older; T2D; HbA1c 7.0 to 10.5 percent on one oral glucose lowering drug
PIONEER 752randomizednot statednot statednot statednot statednot statednot statedopen_labelindustry2016age 18 or more; HbA1c 7.5 to 9.5 percent; one or two oral glucose lowering drugs

Trial data

What each trial contributes. Arm rows give the arm value with its standard error, or events over participants; contrast rows give the odds ratio 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
PIONEER 4A1SEMA_PO52arm, responders110 / 223count_from_percentR0015836:Figure 3C
PIONEER 4A2LIRA_SC52arm, responders60 / 230count_from_percentR0015836:Figure 3C
PIONEER 4A3PLACEBO52arm, responders10 / 83count_from_percentR0015836:Figure 3C
PIONEER 10A1+A2+A3SEMA_PO52arm, responders53 / 331arms_combinedR0018421:Table 4
PIONEER 10A4DULA_SC52arm, responders4 / 56R0018421:Table 4
PIONEER 7A3SEMA_PO52arm, responders30 / 79R0023369:Table 3
PIONEER 7A4SITAGLIPTIN52arm, responders7 / 72R0023369:Table 3

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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