Mahmood Ahmad
Tahir Heart Institute
author@example.com

CT.gov Country Text Asymmetry

Which country-linked CT.gov portfolios show the biggest imbalance between missing detailed descriptions and missing primary-outcome-only text in older records? We analysed 249,507 eligible older closed interventional studies from the March 29, 2026 full-registry snapshot and exploded country links. We compared description-only gaps against primary-only gaps and defined net text asymmetry as description-only minus primary-only counts and rates. The United States led the country-linked text-asymmetry table at 9,667 net description-only gaps, followed by Germany at 3,909, Spain at 3,571, and France at 3,442. Slovakia had the highest large-country asymmetry rate at 40.9 percentage points, while Romania reached 39.3 points and Poland 36.6 points. Country-linked text asymmetry shows where the broad study narrative disappears much more often than the endpoint sentence across national registry portfolios. It separates portfolios where the larger study narrative disappears while the endpoint line survives. Country-linked rows are non-exclusive because multinational studies can contribute to more than one national portfolio in registry link tables.

Outside Notes

Type: methods
Primary estimand: Net description-vs-endpoint asymmetry among older studies, defined as description-only gaps minus primary-only gaps
App: CT.gov Country Text Asymmetry dashboard
Data: 249,507 eligible older closed interventional studies with description-only, primary-only, and net text-asymmetry summaries
Code: https://github.com/mahmood726-cyber/ctgov-country-text-asymmetry
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.