Mahmood Ahmad
Tahir Heart Institute
author@example.com

Protocol: CT.gov Stopped-Trial Disclosure Gap

This protocol groups eligible older closed interventional ClinicalTrials.gov studies by final status and then isolates stopped studies for a termination-reason audit. Primary outputs compare two-year no-results rates, ghost-protocol rates, and fully visible shares across completed, terminated, withdrawn, and suspended studies, with a secondary contrast for missing versus recorded stop reasons. The aim is to test whether stopping a trial corresponds to a sharply different public record. Because final status and reason fields are registry entries, the analysis measures documented registry status rather than independently verified operational history.

Outside Notes

Type: protocol
Primary estimand: 2-year no-results rate across final-status groups among eligible older CT.gov studies
App: CT.gov Stopped-Trial Disclosure Gap dashboard
Code: https://github.com/mahmood726-cyber/ctgov-stopped-trial-disclosure-gap
Date: 2026-03-29
Validation: FULL REGISTRY RUN

References

1. ClinicalTrials.gov API v2. National Library of Medicine. Accessed March 29, 2026.
2. Zarin DA, Tse T, Williams RJ, Carr S. Trial reporting in ClinicalTrials.gov. N Engl J Med. 2016;375(20):1998-2004.
3. DeVito NJ, Bacon S, Goldacre B. Compliance with legal requirement to report clinical trial results on ClinicalTrials.gov: a cohort study. Lancet. 2020;395(10221):361-369.

AI Disclosure

This work represents a compiler-generated evidence micro-publication built from structured registry data and deterministic summary code. AI was used as a constrained coding and drafting assistant for interface generation, packaging, and prose refinement, not as an autonomous author. The analytical choices, interpretation, and final outputs were reviewed by the author, who takes responsibility for the content.