Step 1 of 4 · Demo
Variable Assessment
This demo shows five variables from a hypothetical PRO-ACT registry external comparator analysis. Two variables are fully assessed across all three frameworks; the others are at various stages to illustrate the workflow.
| # | Trial Variable | RWD Variable | Category | Score | Progress | Verdict |
|---|
Step 2 of 4
Pocock's Criteria
The first two variables have pre-filled Pocock evaluations. Select each to explore the ratings and notes.
Reference: Pocock SJ. The combination of randomized and historical controls in clinical trials. J Chronic Dis. 1976;29(3):175-88.
Step 3 of 4
FDA Guidance Assessment
Variables 1 and 3 have FDA evaluations loaded. Note how Variable 3 (VC% Predicted) shows several "Not Aligned" ratings due to measurement and completeness issues.
Reference: US FDA. "Considerations for the Design and Conduct of Externally Controlled Trials." February 2023. View guidance ↗
Step 4 of 4
Gray et al. Framework
Variables 1 and 2 have full Gray et al. evaluations. Variable 1 shows an "Adequate with Limitations" on confounders due to missing FVC% data.
Reference: Gray CM et al. A Framework for Methodological Choice and Evidence Assessment. Drug Saf. 2020;43(7):623-633.
Export & Summary · Demo
Assessment Report
Download the synthetic demo data as CSV or JSON to explore the export format.
About This Demo
Demo Walkthrough
This demo illustrates a hypothetical assessment of the PRO-ACT Registry as an external comparator for a Phase 3 ALS trial. Five candidate variables are evaluated across Pocock, FDA, and Gray et al. frameworks.
The data is entirely synthetic and illustrative. It is designed to demonstrate the range of outcomes the tool can surface — from Strong Potential (ALSFRS-R Total Score) to Limited Potential (Vital Capacity % Predicted).
Go to the Report tab to see the composite verdict bars for all five variables side-by-side.
Go to Pocock's Criteria, select "Riluzole Use at Baseline", and rate the seven criteria to see the verdict ring animate.
Go to Report and click Full Report (CSV) to download the synthetic data in the export format.
Click Use Real Tool in the banner above to open index.html with a clean, empty workspace for your own study.
In Development
OMOP Data Scan
Coming Soon
The OMOP Data Scan will scan OMOP CDM–formatted data using pre-specified concept codes, enabling automated data characterization.
BETA · IN DEVELOPMENT