Evidence map›Paper›PMID 41809213›Full record

ArticleWorld journal of gastrointestinal pharmacology and therapeutics2026

Impact of Endocuff addition to real-time computer-aided detection of colorectal neoplasia in a randomised tandem colonoscopy trial.

Ioannis Stasinos, Theodoros Voulgaris, Ioannis A Kouimtsidis, Sofia A Zantza, Fwteini A Leventaki, Theodosios A Theodosopoulos, John Vlachogiannakos, Periklis A Apostolopoulos, Georgios P Karamanolis

Abstract read
In one paragraph

Article in World journal of gastrointestinal pharmacology and therapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Ioannis StasinosDepartment of Gastroenterology, 417 Army Equity Fund Hospital (NIMTS), Athens 11528, Attikí, Greece.
Theodoros VoulgarisDepartment of Endoscopy, 2 Academic Surgical Unit, National and Kapodistrian University of Athens, Aretaieion Hospital, Athens 11528, Attikí, Greece. thvoulgaris87@gmail.com.
Ioannis A KouimtsidisDepartment of Gastroenterology, NIMTS Medical Institution Military Shareholder Fund, Athens 11528, Attikí, Greece.
Sofia A ZantzaDepartment of Gastroenterology, NIMTS Medical Institution Military Shareholder Fund, Athens 11528, Attikí, Greece.
Fwteini A LeventakiDepartment of Gastroenterology, NIMTS Medical Institution Military Shareholder Fund, Athens 11528, Attikí, Greece.
Theodosios A TheodosopoulosDepartment of Endoscopy, 2 Academic Surgical Unit, National and Kapodistrian University of Athens, Aretaieion Hospital, Athens 11528, Attikí, Greece.
John VlachogiannakosDepartment of Gastroenterology, School of Medicine, National and Kapodistrian University of Athens, Athens 11527, Attikí, Greece.
Periklis A ApostolopoulosDepartment of Gastroenterology, NIMTS Medical Institution Military Shareholder Fund, Athens 11528, Attikí, Greece.
Georgios P KaramanolisDepartment of Endoscopy, 2 Academic Surgical Unit, National and Kapodistrian University of Athens, Aretaieion Hospital, Athens 11528, Attikí, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRisk of post colonoscopy colorectal cancer is related to adenoma miss rate (AMR) during colonoscopy. Artificial intelligence (AI) and Endocuff Vision are tools both used to increase adenoma detection rate (ADR).

aimTo assess whether the combination of AI and Endocuff vision, compared to using AI alone, increases the ADR.

methodsThis is a single-center randomized, tandem colonoscopy trial. Patients with a Boston Bowel Preparation score ≥ 6 with an indication of colorectal cancer screening (78, 91.8%) or polyp surveillance (7, 8.2%) were included from the study.

resultsEighty-five patients were included in total (male: 51; mean age: 63 ± 8 years old). In 39 patients, the initial colonoscopy was performed using AI alone, while in 45 patients, it was carried out with a combination of AI and Endocuff. Colonoscopies without Endocuff were associated with a numerically higher ADR (19/39, 48.7%

conclusionAdding Endocuff to AI-assisted colonoscopy, according to our results, does not lead to increased adenoma detection.

Indexed as

Adenoma detection rateAdenoma missing rateArtificial intelligenceEndocuff VisionScreening colonoscopy

Identifiers

PMID41809213
PMCPMC12968631

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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.