LivingGLP1
Living systematic review and network meta-analysis

Which GLP-1 medicine works best, and for whom?

Semaglutide, tirzepatide, liraglutide, dulaglutide and every other GLP-1 receptor agonist containing medicine, compared across every randomized trial in diabetes, obesity, heart, kidney and liver disease. Updated as new trials are published, with every number traceable to its source.

Release of 2026-10-30: interim results from 511 adjudicated trials. Risk of bias and certainty ratings are still in progress.

596
Randomized trials
double extracted and adjudicated
289,449
Participants randomized
361
Treatments and doses
417
Fitted analyses
of 1,142 outcome networks
At a glance

Two headline results

The five medicines with the most favorable estimates for blood sugar in type 2 diabetes and for weight in obesity, with all doses of each medicine pooled. Every condition and outcome has its own page.

Start here

Choose a condition

All conditions
Living status

From search to synthesis

Search run 2026-10-14, search concepts 1.3.1, protocol version 0.23.4. Every step is public: open any number to see the records behind it.

  1. Step 1
    56,989
    deduplicated records from the bibliographic searches
  2. Step 2
    3,066
    trial registrations
  3. Step 3
    6,782
    records screened at full text
  4. Step 4
    596
    randomized trials double extracted and adjudicated

Records by automatic design class

Classification orders the screening work; it excludes nothing.

Latest search

SourceReportedRetrieved
PubMed29,57429,437
Europe PMC29,57229,582
ClinicalTrials.gov7,5713,066
OpenAlex66,44066,440

Protocol peer review

Accepted by all three language model reviewers in round 19; registered on 2026-10-13 and amended since. Every round and comment · all versions.

How it works

From every trial to one comparison

  1. 1. Search every week

    Bibliographic databases and trial registries are searched automatically; every record is deduplicated and linked to its trial.

  2. 2. Extract twice

    Two reviewers extract each trial independently from all its reports and registry postings; every disagreement is adjudicated and logged.

  3. 3. Compare fairly

    Bayesian network meta-analysis, checked with a frequentist model, compares all treatments at once while keeping each trial’s randomization.

  4. 4. Stay current

    Each release refits every analysis on all trials so far. Data, code and the protocol are public.

New to network meta-analysis?

Every page explains its numbers twice: once in plain language and once for researchers. The learning pages walk through reading a forest plot, a league table and a ranking, and the glossary defines every term.