Mahmood Ahmad
Tahir Heart Institute
author@example.com

Protocol: CT.gov Risk-Adjusted Hiddenness

This protocol fits study-mix-adjusted models for missing results and ghost protocols among eligible older closed interventional ClinicalTrials.gov studies. The models use phase, purpose, allocation, status, enrollment, arm count, intervention count, geography scale, outcome density, and study age, while excluding sponsor and geography identities from the adjustment set. Primary outputs compare observed versus expected missing-results counts and excess rate points across sponsor classes, U.S.-presence buckets, and large lead sponsors. The aim is to distinguish raw backlog from residual hiddenness that remains after visible study mix is taken into account.

Outside Notes

Type: protocol
Primary estimand: Excess missing-results stock over model-expected missing-results counts among eligible older CT.gov studies
App: CT.gov Risk-Adjusted Hiddenness dashboard
Code: https://github.com/mahmood726-cyber/ctgov-risk-adjusted-hiddenness
Date: 2026-03-29
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.