LivingGLP1
Descriptive only

CDR-SB change

Alzheimer disease

weeks 36 to 64 (target week 52)Not stated by the trialsEach dose separatelyMean difference
1
Randomized trials
2
Treatments
0
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.
LIRA_SC_1p8MG_QDPLACEBO
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
ELAD52modified_ittchange in CDR sum of boxes from baselineCDR-SBnot statednot statednot statednot stateddouble_blindmixed2014age 50 or older; MMSE 15 or higher; CDR global 0.5 to 2; no diabetes treatment

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
ELADA1PLACEBO52contrast, mdR0011033:Results
ELADA2LIRA_SC_1p8MG_QD52contrast, md-0.0600.258R0011033: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.

Open in the NMA lab