LivingGLP1
Network meta-analysis

Percent body weight change after randomization in maintenance trials

Weight maintenance after a GLP-1 receptor agonist containing run in

weeks 20 to 104 (target week 52)Hypothetical (as if everyone stayed on treatment)Each dose separatelyMean difference
2
Randomized trials
3
Treatments
661
Participants
4
Trial arms

In plain language

Across 2 trials with 661 participants, 2 of 2 treatments had a clearly better result than placebo on percent body weight change after randomization in maintenance trials. The most favorable estimate was for tirzepatide subcutaneous once weekly, maximum tolerated dose: 10 or 15 mg: mean difference -21.13 percentage points (95% credible interval -27.39 to -11.94).

  • Tirzepatide subcutaneous once weekly, maximum tolerated dose: 10 or 15 mg: better than placebo but not among the most effective (certainty pending).
  • Semaglutide 2.4 mg subcutaneous once weekly: better than placebo but not among the most effective (certainty pending).

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.
PLACEBOSEMA_SC_2p4MG_QWTIRZ_SC_MTD_QW
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

Mean difference in percentage points. Lower values favor the treatment.
-30-25-20-15-10-50← favors treatmentfavors reference →Tirzepatide subcutaneous once we…Semaglutide 2.4 mg subcutaneous …
Versus Placebo. 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 MD (95% CrI)95% prediction intervalFrequentist MD (95% CI)VerdictConfidence
Tirzepatide subcutaneous once weekly, maximum tolerated dose: 10 or 15 mg
TIRZ_SC_MTD_QW
-21.13 (-27.39 to -11.94)-30.33 to -8.79-21.50 (-22.91 to -20.09)Betterpending
Semaglutide 2.4 mg subcutaneous once weekly
SEMA_SC_2p4MG_QW
-15.06 (-21.51 to -6.28)-24.23 to -2.99-15.30 (-16.50 to -14.10)Betterpending

Confidence in the results

How much each comparison can be trusted, rated with CINeMA in six domains and summarized with GRADE.
Confidence in each comparison with Placebo
ComparisonWithin study biasReporting biasIndirectnessImprecisionHeterogeneityIncoherenceConfidence
Semaglutide 2.4 mg subcutaneous once weekly versus Placebopendingnonependingnonenonesomepending
Tirzepatide subcutaneous once weekly, maximum tolerated dose: 10 or 15 mg versus Placebopendingnonependingnonenonesomepending
Every other comparison (1)
Confidence in the other comparisons
ComparisonWithin study biasReporting biasIndirectnessImprecisionHeterogeneityIncoherenceConfidence
Semaglutide 2.4 mg subcutaneous once weekly versus Tirzepatide subcutaneous once weekly, maximum tolerated dose: 10 or 15 mgpendingnonependingmajornonesomepending

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.

Rank probabilities

Probability of each rank for each treatment
TreatmentRank 1Rank 2Rank 3Mean rank
TIRZ_SC_MTD_QW92%8%1.1
SEMA_SC_2p4MG_QW8%91%1.9
PLACEBO100%3.0

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 columnPLACEBOTIRZ_SC_MTD_QWSEMA_SC_2p4MG_QW
PLACEBOPLACEBO21.13
11.94 to 27.39
15.06
6.28 to 21.51
TIRZ_SC_MTD_QW-21.13
-27.39 to -11.94
TIRZ_SC_MTD_QW-6.12
-15.84 to 4.94
SEMA_SC_2p4MG_QW-15.06
-21.51 to -6.28
6.12
-4.94 to 15.84
SEMA_SC_2p4MG_QW

Heterogeneity, fit and convergence

Bayesian random effects (primary)

Heterogeneity (tau)
2.337 (95% CrI 0.134 to 7.624)
Residual deviance
3.0 for 3 data points
DIC
6.0 (pD 3.0)
Largest R-hat
1.004
Smallest ESS
bulk 1,964, tail 2,303
Divergent transitions
0
Convergence
All criteria met
Priors
PR01 N(0, 35^2); PR03 N(0, 17.5^2); PR07 half normal(0, 3.5^2) 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 BMI or body weight (kg/m2)
effect modifier, prognostic factor; 2 of 2
STEP 4
S000521
34.37
SURMOUNT-4
S000242
30.5

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 30.5 (PLACEBO vs TIRZ_SC_MTD_QW) to 34.4 (PLACEBO vs SEMA_SC_2p4MG_QW) kg/m2; threshold 3
  • FlagOutcome assessment, analysis set: confounded with design: full_analysis 1, modified_itt 1
  • FlagOutcome assessment, definition: confounded with design: percent change in body weight from randomization (week 36) to week 88 1, percent change in body weight from randomization at week 20 to week 68 1
  • FlagOutcome assessment, intercurrent events (rescue): confounded with design: hypothetical 1, not stated 1
  • NoteOutcome assessment, time point: selected time points span 48 to 52 weeks
Comparability items per trial
Trialstart yeartime weeksanalysis setdefinitioninstrumentadjudicatedproportion methodintercurrent events (discontinuation)intercurrent events (rescue)blindingfundingEligibility
STEP 4201848full_analysispercent change in body weight from randomization at week 20 to week 68not statednot statednot statedhypotheticalhypotheticaldouble_blindindustryage 18 or more; BMI 30 or more, or 27 or more with comorbidity; no diabetes; reached 2.4 mg at week 20
SURMOUNT-4202152modified_ittpercent change in body weight from randomization (week 36) to week 88not statednot statednot statedhypotheticalnot stateddouble_blindindustryage 18 or more; BMI 30 or more, or 27 or more with weight related complication; no diabetes; MTD 10 or 15 mg reached by week 36

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
SURMOUNT-4A1TIRZ_SC_MTD_QW52arm, percent_change-6.7000.510332R0018941:Supplement eTable 3
SURMOUNT-4A2PLACEBO52arm, percent_change14.8000.510329R0018941:Supplement eTable 3
STEP 4A1SEMA_SC_2p4MG_QW48contrast, md-15.3000.612R0019147:Abstract
STEP 4A2PLACEBO48contrast, mdR0019147:Abstract

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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