Mahmood Ahmad
Tahir Heart Institute
author@example.com

Protocol: CT.gov Condition Hiddenness Map

This protocol assigns each eligible older closed interventional study to one dominant keyword-based condition family using registry condition strings and titles. Primary outputs compare condition-family ghost-protocol rates, two-year no-results rates, and full-visibility shares. A secondary stock view ranks the largest named families by the number of eligible older studies they contain. Because the classification is keyword-based and single-label, the project is designed as a high-level map rather than a formal ontology.

Outside Notes

Type: protocol
Primary estimand: Ghost-protocol rate by keyword-classified condition family among eligible older closed interventional studies
App: CT.gov Condition Hiddenness Map dashboard
Code: https://github.com/mahmood726-cyber/ctgov-condition-hiddenness-map
Date: 2026-03-29
Validation: FULL REGISTRY RUN

References

1. ClinicalTrials.gov API v2. National Library of Medicine. Accessed March 29, 2026.
2. Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement. BMJ. 2021;372:n71.
3. Borenstein M, Hedges LV, Higgins JPT, Rothstein HR. Introduction to Meta-Analysis. 2nd ed. Wiley; 2021.

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.