Last reviewed · How we verify

NCT05145712

Quantitative Bowel Readiness Assessment System in Predicting the Missed Detection Rate of Adenomas

Status unknown NA Last updated 6 December 2021
What this trial tests

NA trial testing Bowel readiness in Self Control in 263 participants. Status unknown.

Timeline
21 July 2021
Primary endpoint
30 January 2022
20 March 2022

Quick facts

Lead sponsorRenmin Hospital of Wuhan University
PhaseNA
StatusStatus unknown
Study typeINTERVENTIONAL
Allocationna
Designsingle group
Maskingnone
Primary purposediagnostic
Enrollment263
Start date21 July 2021
Primary completion30 January 2022
Estimated completion20 March 2022
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

Renmin Hospital of Wuhan University

Who can join

45 and older, any sex, with Self Control or Prospective. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

To verify the correlation between the proposed artificial intelligence based bowel preparation assessment system and the missed detection rate of adenomas, and to evaluate whether the system can effectively assist doctors in identifying patients who need to be re-examined by colonoscopy due to poor intestinal cleanliness.

Publications & conference data

1 peer-reviewed publication reference this trial (live from Europe PMC):

  1. Validation of artificial intelligence-based bowel preparation assessment in screening colonoscopy (with video).
    Yao L, Xiong H, Li Q, Wang W, et al · · 2024 · cited 11× · PMID 38636818 · DOI 10.1016/j.gie.2024.04.015

Verify or expand the search:

Other Renmin Hospital of Wuhan University trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT05145712.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing