LivingGLP1
Descriptive only

SF-36 physical component summary change

Type 2 diabetes (adults)

weeks 20 to 130 (target week 52)Hypothetical (as if everyone stayed on treatment)Doses of a drug pooledMean difference
1
Randomized trials
2
Treatments
1,237
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.
INS_LISPROTIRZ_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.

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.
  • NoteData handling, input conversions: arms_combined 1
Comparability items per trial
Trialtime weeksanalysis setdefinitioninstrumentadjudicatedproportion methodintercurrent events (discontinuation)intercurrent events (rescue)blindingfundingstart yearEligibility
SURPASS-652modified_ittnot statedSF-36v2not statednot statedhypotheticalhypotheticalopen_labelindustry2020adults 18 or older; HbA1c 7.5 to 11 percent; BMI 23 to 45; basal insulin at least 30 U/day with or without up to 2 oral drugs

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
SURPASS-6A1+A2+A3TIRZ_SC52arm, change1.4560.269638arms_combinedregistry:outcomes
SURPASS-6A4INS_LISPRO52arm, change-0.6000.280599registry: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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