HbA1c change
Type 2 diabetes (adults); background therapy: basal insulin with or without non insulin drugs
In plain language
Across 2 trials with 2,126 participants, 0 of 2 treatments had a clearly better result than semaglutide injection on HbA1c change, and for 2 the evidence could not tell them apart from semaglutide injection. The most favorable estimate was for Insulin aspart (prandial): mean difference 0.29 percentage points (95% credible interval -0.71 to 1.19).
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
Effects compared with Semaglutide injection
| Treatment | Bayesian MD (95% CrI) | 95% prediction interval | Frequentist MD (95% CI) | Verdict |
|---|---|---|---|---|
| Insulin aspart (prandial) INS_ASPART | 0.29 (-0.71 to 1.19) | -1.20 to 1.67 | 0.30 (0.20 to 0.40) | Unclear |
| Insulin glargine INS_GLARGINE | 0.71 (-0.33 to 1.65) | -0.82 to 2.08 | 0.72 (0.57 to 0.87) | Unclear |
Ranking
League table
| Row versus column | SEMA_SC | INS_ASPART | INS_GLARGINE |
|---|---|---|---|
| SEMA_SC | SEMA_SC | -0.29 -1.19 to 0.71 | -0.71 -1.65 to 0.33 |
| INS_ASPART | 0.29 -0.71 to 1.19 | INS_ASPART | -0.42 -1.74 to 1.02 |
| INS_GLARGINE | 0.71 -0.33 to 1.65 | 0.42 -1.02 to 1.74 | INS_GLARGINE |
Heterogeneity, fit and convergence
Bayesian random effects (primary)
Frequentist check (netmeta)
Inconsistency
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
Fewer than ten trial comparisons, too few to judge funnel plot asymmetry.
Baseline characteristics of the trials
| Trial | Baseline 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 |
|---|---|---|---|---|---|---|
| SUSTAIN 11 S000363 | 8.55 | S2 | 13.4 | 19.55 | 61.15 | 52 |
| NCT05514535 S001161 | 7.9 | S2 | 12.4 | 9.61 | 61.1 | 40 |
Comparability of the trials
- FlagBaseline, Baseline HbA1c: design means range from 7.9 (INS_GLARGINE vs SEMA_SC) to 8.5 (INS_ASPART vs SEMA_SC) percent; threshold 0.5
- FlagHeterogeneity, tau above threshold: tau 0.33 exceeds the outcome threshold 0.3; the flags of this network are candidate explanations
- NoteOutcome assessment, time point: selected time points span 40 to 52 weeks
| Trial | time weeks | analysis set | definition | instrument | adjudicated | proportion method | intercurrent events (discontinuation) | intercurrent events (rescue) | blinding | funding | start year | Eligibility |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SUSTAIN 11 | 52 | full_analysis | not stated | not stated | not stated | not stated | not stated | not stated | open_label | industry | 2018 | adults; HbA1c above 7.5 to 10.0 percent on insulin glargine plus metformin |
| NCT05514535 | 40 | full_analysis | not stated | not stated | not stated | not stated | not stated | not stated | open_label | industry | 2022 | adults with T2D, BMI 25 or more, HbA1c 7 to 10 percent, basal insulin up to 40 U/day plus metformin with or without SGLT2i |
Trial data
| Trial | Arm | Treatment | Week | Data | Value | SE | Events / N | Flags | Source |
|---|---|---|---|---|---|---|---|---|---|
| SUSTAIN 11 | A1 | SEMA_SC | 52 | arm, change | -1.500 | 0.035 | 795 | registry:outcomes | |
| SUSTAIN 11 | A2 | INS_ASPART | 52 | arm, change | -1.200 | 0.036 | 783 | registry:outcomes | |
| NCT05514535 | A1 | SEMA_SC | 40 | arm, change | -1.370 | 0.051 | 276 | registry:outcomes | |
| NCT05514535 | A2 | INS_GLARGINE | 40 | arm, change | -0.650 | 0.056 | 272 | registry: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.