Mahmood Ahmad
Tahir Heart Institute
author@example.com

CT.gov Country Ghost Watchlist

Which country-linked CT.gov portfolios remain most ghosted above expectation once the series shifts from adjusted no-results stock to excess ghost protocols? We analysed 249,507 eligible older closed interventional studies from the March 29, 2026 full-registry snapshot and exploded named-country links. Using the wave-nine country watchlist, we ranked country-linked portfolios by excess ghost stock, raw ghost counts, black-box stock, and black-box rates. France carried the largest country-linked ghost excess at 1,157 studies, followed by China at 1,007, Egypt at 955, and South Korea at 871. South Korea and China also stood out on black-box intensity, while France remained the largest Western ghost-stock portfolio on count. The deeper-silence geography therefore mixes very large European stock with sharper Asian and Middle Eastern ghost tails once stock-heavy Western systems, East Asian portfolios, and Egyptian-linked studies are read in the same frame together carefully. Country-linked ghost tables count country-linked studies rather than assigning each multinational record to one exclusive national portfolio.

Outside Notes

Type: methods
Primary estimand: Excess ghost-protocol stock across country-linked study portfolios
App: CT.gov Country Ghost Watchlist dashboard
Data: 249,507 eligible older closed interventional studies exploded into named-country links and ranked by ghost excess
Code: https://github.com/mahmood726-cyber/ctgov-country-ghost-watchlist
Version: 1.0.0
Validation: FULL REGISTRY RUN

References

1. ClinicalTrials.gov API v2. National Library of Medicine. Accessed March 29, 2026.
2. 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.
3. Zarin DA, Tse T, Williams RJ, Carr S. Trial reporting in ClinicalTrials.gov. N Engl J Med. 2016;375(20):1998-2004.

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.