Independent observational research · GLP-3 is investigational and not FDA-approved
R3TA

Beyond the Clinical Studies, It's the Human Stories.

R3TA is an independent observational research platform built to collect, organize, and analyze the human stories behind GLP-3 — tracking changes in weight, appetite, body composition, energy, side effects, lifestyle and more.

Why now

GLP-3 could represent the next chapter in metabolic medicine.

24.2%

Mean weight reduction at 48 weeks reported in the published Phase 2 study.

28.3%

Average weight loss at 80 weeks at the 12 mg dose reported in the Phase 3 TRIUMPH-1 trial.

Q1 2027

The FDA submission Lilly has said it plans for GLP-3.

But averages aren’t individuals. Clinical trials tell us what happened in the trial. R3TA wants to understand the human stories behind those numbers.

The big question

What actually happens over 26 weeks?

  1. Day 1

    01

  2. Week 4

    02

  3. Week 8

    03

  4. Week 12

    04

  5. Week 24

    05

  6. Week 26

    06

At each stage, R3TA collects standardized self-reported measures across five areas of the human story.

Weight & body

Weight, waist circumference, body composition if available, clothing size and physical changes.

Hunger & food

Appetite, cravings, food noise, satiety, meal size and food preferences.

Daily life

Energy, sleep, mood, concentration, exercise and perceived quality of life.

Side effects

Nausea, constipation, diarrhoea, vomiting, reflux, fatigue, skin sensitivity and other reported events.

Treatment context

Duration, reported dose/titration history, previous GLP-1/GIP therapy and discontinuation — recording what someone reports, never recommending a regimen.

Contributors
Active contributors
Observations
Open cohorts
Published reports

Live counters from the R3TA database — never estimated. Cells under 5 contributors are suppressed in aggregate views.

Why R3TA exists

An observational registry, stated plainly.

What we do

We run a longitudinal observational registry. Contributors record their own measurements on a fixed cadence, and we structure, de-identify, and analyse those records — we never direct, supply, or prescribe anything.

What we measure

Weight, waist circumference, appetite and satiety, energy, sleep, activity, blood pressure, body composition, optional third-party labs, and every reported symptom or safety event.

Our goal

To turn scattered anecdote into structured evidence: transparent cohort definitions, declared evidence tiers, published attrition, and aggregates only once at least five contributors are represented.

Our hypothesis

That standardised, prospectively collected self-report — anchored to a fixed baseline and paired with source-verified measurements — can describe real-world trajectories that isolated testimonials cannot.

5 minutes. Once a week.
6 months of insight.

Join the research →

Your story becomes more valuable when it becomes data. Participation is voluntary, versioned, and revocable at any time.

  1. 01

    Create your research profile

    Tell R3TA about your starting point and relevant history.

  2. 02

    Establish your baseline

    Record weight, measurements, appetite, lifestyle, symptoms and other starting metrics.

  3. 03

    Check in weekly

    Complete a short standardized questionnaire about changes and stories — about five minutes.

  4. 04

    Watch your timeline develop

    See your own self-reported data plotted over time in your private R3TA dashboard.

  5. 05

    Contribute to the bigger picture

    De-identified, aggregated stories help reveal patterns across the research community. Consent is versioned (v1.0) and revocable at any time.

How tracking works

One baseline. A continuous thread of change.

R3TA tracks each contributor from a single anchored baseline and follows the change over weeks — not isolated snapshots. The curve below is compiled from real contributor stories; every point reports how many contributors it represents.

Longitudinal tracking

Mean change from baseline

Weight Waist

Computing aggregates…

Tracking method

Anchored, continuous, verifiable.

  • 01

    Anchor a baseline

    First measurement locks the reference point. Every later value is tracked as change from this anchor.

  • 02

    Record on cadence

    Weekly and monthly check-ins append to the same longitudinal thread — each timestamped and source-stamped.

  • 03

    Verify the source

    Self-reported entries are distinguished from device- and lab-verified values, so trust can be stratified.

  • 04

    Aggregate with privacy

    Cells under 5 contributors are suppressed. Published curves always report sample size per point.

Open the data explorer →

Cohort composition

Who the registry actually represents.

Computing aggregates…

Structured · Standardized · Source-stamped

What the registry collects

Every story carries a source, a collection method, and a verification state. Aggregate cells with fewer than 5 contributors are suppressed before publication.

Weekly check-ins

01

Weight, waist, energy, appetite, sleep, and GI tolerability — recorded on a fixed weekly cadence.

Monthly check-ins

02

Blood pressure, resting heart rate, and structured side-effect review every month.

Laboratory panel

03

Optional third-party lab documents every 8–12 weeks, stored with verification state.

Wearable device data

04

Steps, HRV, and sleep exports from contributor devices, flagged by source.

Demographics & baseline

05

Age band, sex, and activity level captured once at enrollment for cohort stratification.

Safety reports

06

Structured adverse-event reports, reviewed and counted in aggregate only.

Explore the data overview →

Clinical research vs R3TA

Different data. Different purpose.

Clinical trials
R3TA
Controlled environment
Observational environment
Defined enrollment criteria
Broader self-selected population
Investigator measured
Primarily self-reported
Controlled protocols
Records reported stories
Establish safety and efficacy
Identify real-world patterns
Scientific endpoints
Story-focused endpoints

Both can teach us something. R3TA never implies that its dataset proves GLP-3 is safe or effective — the compound remains investigational.

Evidence tiers

Transparent evidence, ranked.

Every R3TA report declares an evidence level so readers can judge the strength of a finding at a glance — from individual story through source-verified registry analysis to formally governed clinical studies.

E0

E0 — Anecdotal

Single unverified self-report with no standardized collection or follow-up.

Lowest tier. Illustrative only.

E1

E1 — Structured self-report

Standardized definitions, units, and cadence collected prospectively in the registry.

Usable for descriptive trends with stated limitations.

E2

E2 — Registry analysis

Pre-specified cohort analysis of longitudinal registry data with attrition and missing-data reporting.

Primary tier for R3TA research reports.

E3

E3 — Source-verified registry analysis

Registry analysis restricted to third-party laboratory or connected-device measurements.

Highest observational tier.

E4

E4 — Governed clinical study

Formally governed prospective study with protocol, principal investigator, and ethics oversight.

Highest R3TA evidence tier.

Laboratory markers · mean change, first to latest

Computing aggregates…

Read the evidence standards →
Scope & boundaries

Observe. Record. Never prescribe.

R3TA is strictly observational. We do not assign, recommend, or direct the use of any compound, and we do not provide medical advice. Interventional studies require a principal investigator, IRB approval, and regulatory oversight — separate from this registry.

Community

Why contributors take part.

Personal accounts from people who chose to record structured measurements for the registry. These are stories, not evidence of outcomes.

01
The biggest change wasn’t the scale.

Participant 1847

26 weeks recorded

02
I didn’t realize how much I thought about food until I stopped thinking about it.

Participant 2051

36 weeks recorded

03
My first month was completely different from my third.

Participant 1732

24 weeks recorded

Grow the registry

Invite a storyteller

Aggregate cohort charts stay suppressed until at least five contributors submit longitudinal measurements. Share a signup link with someone whose story could add to the picture.

Sign in to send tracked invites and see which ones get opened.

Contact

Send us a message.

Questions about the registry, participation, or data access? We typically respond within 24 hours.

Registry updates.

New cohorts, publications, and data releases from the R3TA registry.