LivingGLP1
Network meta-analysis

HbA1c below 7 percent

Type 2 diabetes (adults); background therapy: basal insulin with or without non insulin drugs

weeks 36 to 64 (target week 52)Hypothetical (as if everyone stayed on treatment)Doses of a drug pooledOdds ratioSeparate part 2 of a disconnected network
2
Randomized trials
3
Treatments
1,009
Participants
684
Events

In plain language

Across 2 trials with 1,009 participants, 2 of 2 treatments had a clearly better result than placebo on HbA1c below 7 percent. The most favorable estimate was for Tirzepatide injection: odds ratio 30.41 (95% credible interval 3.66 to 92.93).

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.
ORFO_POPLACEBOTIRZ_SC
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.
0.51245102050100← favors referencefavors treatment →Tirzepatide injectionOrforglipron tablet
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
Tirzepatide injection
TIRZ_SC
30.41 (3.66 to 92.93)1.85 to 16835.42 (19.27 to 65.11)Better
Orforglipron tablet
ORFO_PO
7.11 (1.20 to 23.45)0.63 to 44.157.68 (4.93 to 11.98)Better

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 columnPLACEBOTIRZ_SCORFO_PO
PLACEBOPLACEBO0.03
0.01 to 0.27
0.14
0.04 to 0.83
TIRZ_SC30.41
3.66 to 92.93
TIRZ_SC4.33
0.46 to 27.29
ORFO_PO7.11
1.20 to 23.45
0.23
0.04 to 2.19
ORFO_PO

Heterogeneity, fit and convergence

Bayesian random effects (primary)

Heterogeneity (tau)
0.412 (95% CrI 0.096 to 1.886), log scale
Residual deviance
4.0 for 4 data points
DIC
8.0 (pD 4.0)
Largest R-hat
1.001
Smallest ESS
bulk 2,860, tail 2,035
Divergent transitions
0
Convergence
All criteria met
Priors
PR02 N(0, 5^2); PR05 N(0, 2.5^2); PR09 log normal(-1.77, 1.52^2) on tau^2 (Biological markers (dichotomised), pharm vs placebo control)

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 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
ACHIEVE-5
S001044
8.5S215
SURPASS-5
S001608
8.32S213.3

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.
  • FlagOutcome assessment, analysis set: confounded with design: modified_itt 1, randomized 1
  • NoteData handling, input conversions: arms_combined 2, count_from_percent 4
Comparability items per trial
Trialtime weeksanalysis setdefinitioninstrumentadjudicatedproportion methodintercurrent events (discontinuation)intercurrent events (rescue)blindingfundingstart yearEligibility
ACHIEVE-540randomizednot statednot statednot statednot_statedhypotheticalhypotheticaldouble_blindindustry2023adults with T2D on insulin glargine with or without metformin or SGLT2 inhibitor
SURPASS-540modified_ittnot statednot statednot statednot_statedhypotheticalhypotheticaldouble_blindindustry2019HbA1c 7.0 to 10.5 percent; BMI 23 or higher; insulin glargine above 0.25 U/kg or 20 U daily with or without metformin

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
ACHIEVE-5A1PLACEBO40arm, responders33 / 141count_from_percentregistry:outcomes
ACHIEVE-5A2+A3+A4ORFO_PO40arm, responders284 / 405count_from_percent;arms_combinedregistry:outcomes
SURPASS-5A1+A2+A3TIRZ_SC40arm, responders327 / 345count_from_percent;arms_combinedregistry:outcomes
SURPASS-5A4PLACEBO40arm, responders40 / 118count_from_percentregistry:outcomes

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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