Mahmood Ahmad
Tahir Heart Institute
author@example.com

Protocol: CT.gov Enrollment-Size Gap

This protocol groups eligible older closed interventional ClinicalTrials.gov studies into enrollment-size buckets using recorded registry enrollment counts. Primary outputs compare two-year no-results rates, ghost-protocol rates, and fully visible shares across size buckets, with secondary contrasts by sponsor class and treatment-purpose studies. The aim is to test whether public visibility changes with visible trial scale rather than treating all older studies as exchangeable. Because enrollment is a registry field that can be missing or estimated, the project describes recorded scale rather than adjudicated final participant counts.

Outside Notes

Type: protocol
Primary estimand: 2-year no-results rate across enrollment-size buckets among eligible older CT.gov studies
App: CT.gov Enrollment-Size Gap dashboard
Code: https://github.com/mahmood726-cyber/ctgov-enrollment-size-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.