Evidence map›Paper›PMID 42577245›Full record

ReviewVideoGIE : an official video journal of the American Society for Gastrointestinal Endoscopy2026

Hybrid endoscopic submucosal dissection-endoscopic mucosal resection of large polyps at the ileocecal valve.

Taylor Bowler, Rahul Karna, Abubaker Abdalla, Nabeel Azeem

Abstract readReview
In one paragraph

Review in VideoGIE : an official video journal of the American Society for Gastrointestinal Endoscopy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

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

4 authors.

Taylor BowlerDepartment of Internal Medicine, University of Minnesota Medical Center, Minneapolis, Minnesota, USA.
Rahul KarnaDivision of Gastroenterology, Hepatology and Nutrition, University of Minnesota Medical Center, Minneapolis, Minnesota, USA.
Abubaker AbdallaDivision of Gastroenterology, Hepatology and Nutrition, University of Minnesota Medical Center, Minneapolis, Minnesota, USA.
Nabeel AzeemDivision of Gastroenterology, Hepatology and Nutrition, University of Minnesota Medical Center, Minneapolis, Minnesota, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Endoscopic resection of polyps at the ileocecal valve (ICV) remains challenging. Herein, we present a review of the current literature and a case series with video of hybrid endoscopic submucosal dissection-endoscopic mucosal resection (ESD-EMR) for the management of polyps at the ICV. Methods: This article and accompanying video outline the technique of hybrid ESD-EMR. This technique was ultimately used for the management of ICV polyps in 10 patients at a single-center institution. Results: As outlined in the video, endoscopic submucosal dissection was first performed to create a "trench" for the snare to anchor into the lesion and ensure negative margins at the ileal aspect of the lesion. Endoscopic mucosal resection was then performed in a piecemeal or en bloc fashion to complete resection of the polyp. Technical success of the procedure was 100%. Adverse events were noted in 20% of cases, consisting of 1 case of postpolypectomy syndrome (American Society for Gastrointestinal Endoscopy [ASGE] grade I) and 1 case of early bleeding (ASGE grade IIIa). One patient had residual disease on follow-up that was easily managed endoscopically. No patients required surgical referral after endoscopic resection. Conclusion: We conclude that hybrid ESD-EMR may be an effective resection strategy for the management of large polyps at the ICV.

Identifiers

PMID42577245
PMCPMC13453776

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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.