LivingGLP1
Descriptive only

Percent BMI change

Children and adolescents with obesity

weeks 40 to 104 (target week 68)Treatment policyEach dose separatelyMean difference
1
Randomized trials
2
Treatments
193
Participants
2
Trial arms

In plain language

No network meta-analysis was fitted here. The protocol requires at least two trials forming a connected network; this outcome has 1 trial. The trial data below are shown as reported.

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_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.

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.

No comparability concerns were found.

Comparability items per trial
Trialtime weeksanalysis setdefinitioninstrumentadjudicatedproportion methodintercurrent events (discontinuation)intercurrent events (rescue)blindingfundingstart yearEligibility
NCT0410218968full_analysisnot statednot statednot statednot statednot statednot stateddouble_blindindustry2019age 12 to under 18; BMI 95th percentile or more, or 85th with a comorbidity

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
NCT04102189A1SEMA_SC_2p4MG_QW68arm, percent_change-16.2001.127131registry:outcomes
NCT04102189A2PLACEBO68arm, percent_change-0.1001.09262registry:outcomes

Rerun this analysis yourself

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