HbA1c change
Children and adolescents with type 2 diabetes
In plain language
Across 2 trials with 150 participants, 0 of 2 treatments had a clearly better result than standard care or no added treatment on HbA1c change, and for 2 the evidence could not tell them apart from standard care or no added treatment. The most favorable estimate was for Liraglutide injection: mean difference 0.41 percentage points (95% credible interval -1.20 to 1.97).
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 Standard care or no added treatment
| Treatment | Bayesian MD (95% CrI) | 95% prediction interval | Frequentist MD (95% CI) | Verdict |
|---|---|---|---|---|
| Liraglutide injection LIRA_SC | 0.41 (-1.20 to 1.97) | -1.48 to 2.24 | 0.27 (-1.34 to 1.87) | Unclear |
| Metformin METFORMIN | 0.52 (-1.29 to 2.30) | -1.55 to 2.57 | 0.37 (-1.26 to 1.99) | Unclear |
Ranking
League table
| Row versus column | STANDARD_CARE | LIRA_SC | METFORMIN |
|---|---|---|---|
| STANDARD_CARE | STANDARD_CARE | -0.41 -1.97 to 1.20 | -0.52 -2.30 to 1.29 |
| LIRA_SC | 0.41 -1.20 to 1.97 | LIRA_SC | -0.11 -1.15 to 0.93 |
| METFORMIN | 0.52 -1.29 to 2.30 | 0.11 -0.93 to 1.15 | METFORMIN |
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 | 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 |
|---|---|---|---|---|
| NCT02960659 S001259 | 6.84 | 0 | 15.34 | 12 |
| S003436 S003436 | 8 | 100 region: all sites in Asia | 10.5 | 24 |
Comparability of the trials
- FlagBaseline, Baseline HbA1c: design means range from 6.8 (LIRA_SC vs STANDARD_CARE) to 8.0 (LIRA_SC vs METFORMIN) percent; threshold 0.5
- FlagBaseline, Asian ancestry or region: design means range from 0.0 (LIRA_SC vs STANDARD_CARE) to 100.0 (LIRA_SC vs METFORMIN) percent Asian; threshold 30
- FlagOutcome assessment, analysis set: confounded with design: completers 1, per_protocol 1
- 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 12 to 24 weeks
| Trial | time weeks | analysis set | definition | instrument | adjudicated | proportion method | intercurrent events (discontinuation) | intercurrent events (rescue) | blinding | funding | start year | Eligibility |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| NCT02960659 | 12 | per_protocol | not stated | not stated | not stated | not stated | not stated | not stated | open_label | non_industry | 2017 | age 12 to 25 years; HbA1c 9 percent or less; diabetes 5 years or less; Tanner 4 to 5; African American |
| S003436 | 24 | completers | not stated | not stated | not stated | not stated | not stated | not stated | open_label | non_industry | 2023 | age 3 to 16 years; type 2 diabetes; prior lifestyle, alpha glucosidase inhibitor or metformin up to 750 mg/day |
Trial data
| Trial | Arm | Treatment | Week | Data | Value | SE | Events / N | Flags | Source |
|---|---|---|---|---|---|---|---|---|---|
| NCT02960659 | A1 | STANDARD_CARE | 12 | arm, final | 6.460 | 0.357 | R0019860:Table 1 | ||
| NCT02960659 | A2 | LIRA_SC | 12 | arm, final | 6.725 | 0.738 | R0019860:Table 1 | ||
| S003436 | A1 | METFORMIN | 24 | arm, final | 7.200 | 0.092 | 75 | R0054221:Results | |
| S003436 | A2 | LIRA_SC | 24 | arm, final | 7.100 | 0.104 | 75 | R0054221:Results |
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.