Evidence map›Paper›PMID 36528131›Full record

Trial reportGastroenterology2023

Computer-aided Detection of Polyps Does Not Improve Colonoscopist Performance in a Pragmatic Implementation Trial.

Uri Ladabaum, John Shepard, Yingjie Weng, Manisha Desai, Sara J Singer, Ajitha Mannalithara

Registry-linked trialAbstract readPragmatic Clinical TrialLetter
In one paragraph

Trial report in Gastroenterology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05888623 (Computer Assisted Detection of Neoplasia During Colonoscopy Evaluation), which is not on this map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05888623 completednot on this map

Computer Assisted Detection of Neoplasia During Colonoscopy Evaluation (CADeNCE)

TypeobservationalSponsorVA Puget Sound Health Care SystemRan2022 to 2023Enrolled334,200ConditionsColorectal NeoplasmsArmsComputer Assisted Detection
3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Quality indicators for colonoscopy.Gastrointestinal endoscopy · 2024
    Guideline
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Effectiveness of AI-enhanced colonoscopy: A case-control study using real world evidence in a young screening age population.Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Observational
  13. Observational
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. [Role of Artificial Intelligence in Improving Quality of Colonoscopy].The Korean journal of gastroenterology = Taehan Sohwagi Hakhoe chi · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Uri LadabaumDivision of Gastroenterology and Hepatology, Department of Medicine, Stanford University School of Medicine, Stanford, California. Electronic address: uri.ladabaum@stanford.edu.
John ShepardCritical Care Quality and Strategic Initiatives, Stanford Health Care, Stanford, California.
Yingjie WengQuantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, California.
Manisha DesaiQuantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, California.
Sara J SingerDepartment of Medicine, Stanford University School of Medicine, Stanford University Graduate School of Business, Stanford, California.
Ajitha MannalitharaDivision of Gastroenterology and Hepatology, Department of Medicine, Stanford University School of Medicine, Stanford, California.

Funding

Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
NCATS NIH HHS UL1 TR003142
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Colonic PolypsColonography, Computed TomographicColonoscopyComputersHumansRadiographic Image Interpretation, Computer-AssistedSensitivity and Specificity

Identifiers

PMID36528131
PMCPMC11521095

What OpenQuestion holds

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Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.