Mahmood Ahmad
Tahir Heart Institute
author@example.com

CT.gov Overdue Results Clock

What does reporting debt look like once missing results are converted into time since due rather than a single binary flag? We analysed 249,507 eligible older closed interventional studies from the March 29, 2026 full-registry snapshot. We summarized current result-posting status, shares reported within 12, 24, 36, and 60 months, reporting-lag distributions for reported studies, and overdue years beyond the two-year mark for unresolved studies. Pre-FDAAA cohorts remain the deepest debt pool: 87.7 percent unresolved, median reported lag 2,247 days, and mean unresolved debt 18.6 years beyond the two-year mark. By sponsor class, OTHER_GOV is worst on unresolved older studies at 95.7 percent, while industry still combines a 58.1 percent unresolved rate with 9.35 mean overdue years beyond the two-year mark. The clock therefore separates ancient unresolved stock from newer cohorts that are still drifting into silence. These timing summaries use current registry status and do not infer when unpublished external papers may have appeared yet.

Outside Notes

Type: methods
Primary estimand: Unresolved share and overdue years beyond the two-year mark among eligible older CT.gov studies
App: CT.gov Overdue Results Clock dashboard
Data: 249,507 eligible older closed interventional studies with current reporting status and results-posting lag fields
Code: https://github.com/mahmood726-cyber/ctgov-overdue-results-clock
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.