Mahmood Ahmad
Tahir Heart Institute
author@example.com

CT.gov Country Primary-Only Gap

Which country-linked CT.gov portfolios most often leave older study pages without the primary outcome description while keeping the broader detailed-description field? We analysed 249,507 eligible older closed interventional studies from the March 29, 2026 full-registry snapshot and exploded country links. We defined a primary-only gap as missing primary outcome description with detailed description still present, then ranked country-linked portfolios with at least 500 linked studies. The United States led the country-linked primary-only-gap stock table at 13,662 studies, followed by Canada at 2,381, France at 2,233, and Germany at 1,629. Iran had the highest large-country primary-only-gap rate at 18.4 percent, while India reached 15.1 percent and Canada 13.8 percent. Country-linked primary-only gaps show where the endpoint sentence disappears even though the broader study narrative remains visible in older registry records. Country-linked rows are non-exclusive because multinational studies can contribute to more than one national portfolio in registry link tables. They reflect registry link geography rather than jurisdiction.

Outside Notes

Type: methods
Primary estimand: Primary-only-gap stock among older studies missing the primary outcome description field while retaining the detailed description field
App: CT.gov Country Primary-Only Gap dashboard
Data: 249,507 eligible older closed interventional studies with primary-only-gap stock and rate summaries
Code: https://github.com/mahmood726-cyber/ctgov-country-primary-only-gap
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.