LivingGLP1
Descriptive only

Serious adverse events

Chronic kidney disease with diabetes

longest follow-upRecorded harmsEach dose separatelyHazard ratio (from event counts)Separate part 4 of a disconnected network
1
Randomized trials
2
Treatments
88
Participants
2
Events

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.
DAPAGLIFLOZINPEGLOX_SC_0p2MG_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
S00300924completersnot statednot statednot statednot statednot statednot statedopen_labelindustry2023age 18 or more; HbA1c 7.0 to 10.0 percent; eGFR 30 to 90; UACR above 30 to 5000 mg/g

Trial data

What each trial contributes. Arm rows give the arm value with its standard error, or events over participants; contrast rows give the hazard ratio (from event counts) on the analysis scale (log) against the trial's first row. Flags mark converted, combined or approximated inputs.
Trial data entering this analysis
TrialArmTreatmentWeekDataValueSEEvents / NFlagsSource
S003009A1PEGLOX_SC_0p2MG_QW24arm, events1 / 44R0011381:Table 4
S003009A2DAPAGLIFLOZIN24arm, events1 / 44R0011381:Table 4

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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