GRIDINT RESEARCH · DATA HUB
Clinical trials.
Phase-three interventional trials from ClinicalTrials.gov — 987 registered studies with their enrollment, sponsor, condition, and whether results were ever posted. The registry is the U.S. National Library of Medicine's; this catalog holds its phase-three slice as filed, updated by dated edition. Every NCT number opens the trial's own page. What was not posted is counted, not guessed.
A thousand gates, sized.
Plot it on any two axes.
The shape of the records.
Records by results posted?
SOURCE · ClinicalTrials.gov API v2 — completed Phase 3 sample · data cutoff 2026-08-26 · counted from the records
How this hub was made.
What this set is. A phase-three slice of the ClinicalTrials.gov registry — a separate pull from the report's, which is why the two do not hold the same trials; they converge to one fetch at the next edition, and until then each states its own vintage. 987 records. This pack states no retrieved date — when it was pulled is not recorded, and is not guessed at here.
Records are ClinicalTrials.gov's own (API v2), a defined sample of completed Phase 3 studies, stated as a sample and never as the registry. Every row keeps its NCT ID and links to the registry entry that owns it. Downloads are verification extracts.
The clinical trials exhibit page → · The institute's method →
Every edition, dated.
- Edition 1 published 2026-08-27 · data cutoff 2026-08-26 · first edition
A hub changes only as a new dated edition, on the institute's word — never on a schedule. Collection continues underneath; publication is deliberate.
Verify this hub.
Verification extracts — the working records with their receipts, attribution first, pointing at the origin. We never provide data; the source is the authority, this hub is the lens.
Cite this hub
GRIDINT Research (2026). Clinical trials data hub, edition 1 (data cutoff 2026-08-26). https://gridint.ai/data/clinical-trials
@misc{gridint_clinical_trials_2026,
title = {Clinical trials data hub, edition 1},
author = {{GRIDINT Research}},
year = {2026},
note = {Data cutoff 2026-08-26; source: ClinicalTrials.gov API v2 — completed Phase 3 sample},
url = {https://gridint.ai/data/clinical-trials}
}
In pandas
import pandas as pd
D = pd.read_json("https://gridint.ai/demo/clinical-trials/explorer-records.json")
records = pd.DataFrame(D["rows"].tolist(), columns=["nct_id", "enrollment", "results_status", "sponsor", "condition"])
The first row of that extract, as it stands: ["NCT00393952", 557, "No results posted", "SkyePharma AG", "Asthma"] — the values are the receipt, whatever a column is called.