Mahmood Ahmad
Tahir Heart Institute
author@example.com

Protocol: CT.gov Condition Sponsor Repeaters

This protocol links eligible older closed interventional ClinicalTrials.gov studies to oncology, cardiovascular, and metabolic condition families and then ranks lead sponsors within each family. Primary outputs compare sponsor-level missing-results counts, no-results rates, ghost-protocol rates, and fully visible shares within each condition family. The aim is to test whether the backlog is driven by one stable sponsor list or whether disease-specific repeater institutions emerge once whole-registry pooling is removed. Because both condition families and sponsor names are derived from registry text, the analysis measures condition-linked registry visibility rather than adjudicated network authorship or off-platform dissemination.

Outside Notes

Type: protocol
Primary estimand: Sponsor-level 2-year no-results counts within selected disease families among eligible older CT.gov studies
App: CT.gov Condition Sponsor Repeaters dashboard
Code: https://github.com/mahmood726-cyber/ctgov-condition-sponsor-repeaters
Date: 2026-03-29
Validation: FULL REGISTRY RUN

References

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

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.