Mahmood Ahmad
Tahir Heart Institute
author@example.com

CT.gov Country Overdue Debt

Which country-linked CT.gov portfolios carry the deepest unresolved overdue years once the two-year results deadline is converted into debt rather than counts? We analysed 249,507 eligible older closed interventional studies from the March 29, 2026 full-registry snapshot and exploded named-country links. We summed unresolved years beyond the two-year mark across country-linked portfolios with at least 500 linked studies, then compared that debt with missing-results stock and mean unresolved age. The United States carried the largest country-linked overdue-debt stock at 491,364 unresolved years, followed by Canada at 90,480, France at 89,004, and Germany at 77,270. Germany carried the heaviest large-country mean unresolved age at 9.4 years, while the United States remained singular on debt stock because of scale. The geography of chronic silence looks different from rate tables alone, combining very large North American and European portfolios with substantial unresolved stock. Country-linked overdue debt counts country-linked studies rather than assigning each multinational record to one national portfolio.

Outside Notes

Type: methods
Primary estimand: Total unresolved years beyond the two-year results mark across country-linked study portfolios with at least 500 studies
App: CT.gov Country Overdue Debt dashboard
Data: 249,507 eligible older closed interventional studies exploded into country-linked portfolios with overdue debt fields
Code: https://github.com/mahmood726-cyber/ctgov-country-overdue-debt
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.
