Mahmood Ahmad
Tahir Heart Institute
author@example.com

Protocol: CT.gov Disease Geography Gap

This protocol links geography buckets to selected condition families and compares oncology, cardiovascular, and metabolic studies across U.S.-only, U.S.-plus-non-U.S., no-U.S., and no-country groups. Primary outputs compare two-year no-results rates, ghost-protocol rates, fully visible shares, and hiddenness scores across those buckets within each disease family. The aim is to test whether disease-specific visibility differences persist after geography structure is made explicit rather than folded into one pooled condition table. Because the buckets use recorded study locations, the analysis measures geography structure rather than verified recruitment shares, national burden, or sponsor domicile.

Outside Notes

Type: protocol
Primary estimand: 2-year no-results rate across geography buckets within selected disease families among eligible older CT.gov studies
App: CT.gov Disease Geography Gap dashboard
Code: https://github.com/mahmood726-cyber/ctgov-disease-geography-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.