Evidence map›Paper›PMID 40932819›Full record

ReviewEndoscopy international open2025

Artificial Intelligence-Assisted Colonoscopy With or Without Mucosal Exposure Device for Detection of Colorectal Adenomas: A Meta-Analysis.

Azizullah Beran, Tarek Nayfeh, Daryl Ramai, Almaza Albakri, Nasir Saleem, Marco Spadaccini, Cesare Hassan, Alessandro Repici, John J Guardiola, Douglas K Rex

Abstract readReview
In one paragraph

Review in Endoscopy international open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Azizullah BeranDivision of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN, USA.ORCID 0000-0002-4161-942X
Tarek NayfehEvidence-based Practice Center, Mayo Clinic, Rochester, MN, USA.
Daryl RamaiDivision of Gastroenterology, Hepatology and Endoscopy, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Almaza AlbakriDepartment of Medicine, Cleveland Clinic Foundation, Cleveland, OH, USA.
Nasir SaleemDivision of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN, USA.
Marco SpadacciniDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.ORCID 0000-0002-2939-6876
Cesare HassanDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.ORCID 0000-0001-7167-1459
Alessandro RepiciDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
John J GuardiolaDivision of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN, USA.ORCID 0000-0002-4934-8628
Douglas K RexDivision of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and study aims: Artificial intelligence (AI) and mucosal exposure devices like Endocuff have independently improved the adenoma detection rate (ADR) during colonoscopy. This meta-analysis evaluated the combined effect of Endocuff and AI versus AI alone on colorectal neoplasia detection rates. Methods: We searched PubMed, Embase, and Web of Science for randomized controlled trials (RCTs) comparing the impact of Endocuff+AI versus AI alone on colorectal neoplasia detection. Primary outcome was ADR; secondary outcomes included advanced adenoma detection rate (AADR), sessile serrated lesion detection rate (SSLDR), cecal intubation time, and withdrawal time. Pooled risk ratios (RRs) and mean differences (MDs) with 95% confidence intervals (CIs) were calculated using a random-effects model. Results: Three RCTs with 2404 subjects were included (n = 1198 Endocuff+AI vs. n = 1206 AI alone). ADR was significantly higher in the Endocuff+AI group than in the AI alone group (54% vs. 48%, respectively) (RR 1.12, 95% CI 1.03-1.21, Conclusions: Endocuff combined with AI was superior to AI alone in improving the adenoma detection rate without increasing intubation or withdrawal times.

Indexed as

CRC screeningEndoscopy Lower GI TractPolyps / adenomas / ...Quality and logistical aspectsQuality management

Identifiers

PMID40932819
PMCPMC12417794

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.