Evidence map›Paper›PMID 40968213›Full record

ArticleSurgical endoscopy2025

Dual-function robotic gripper for traction and closure in gastric endoscopic submucosal dissection: an in vivo porcine model study (with video).

Sang Hyun Kim, Ye Chan Seo, Bora Keum, Han Jo Jeon, Jae Min Lee, Hyuk Soon Choi, Eun Sun Kim, Yoon Tae Jeen, Hong Sik Lee, Joo Ha Hwang and 1 more

Abstract readVideo-Audio MediaComparative Study
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In one paragraph

Article in Surgical endoscopy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. [Current Status of Robotic Therapeutic Endoscopic Platforms].The Korean journal of gastroenterology = Taehan Sohwagi Hakhoe chi · 2026
    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

11 authors.

Sang Hyun Kim *Division of Gastroenterology and Hepatology, Department of Internal Medicine, Korea University College of Medicine, 73 Goryeodae-Ro, Seongbuk Gu, Seoul, 02841, South Korea.
Ye Chan Seo *Department of Mechanical Engineering, Korea University, Seoul, South Korea.
Bora KeumDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Korea University College of Medicine, 73 Goryeodae-Ro, Seongbuk Gu, Seoul, 02841, South Korea. borakeum@hanmail.net.
Han Jo JeonDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Korea University College of Medicine, 73 Goryeodae-Ro, Seongbuk Gu, Seoul, 02841, South Korea.
Jae Min LeeDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Korea University College of Medicine, 73 Goryeodae-Ro, Seongbuk Gu, Seoul, 02841, South Korea.
Hyuk Soon ChoiDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Korea University College of Medicine, 73 Goryeodae-Ro, Seongbuk Gu, Seoul, 02841, South Korea.
Eun Sun KimDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Korea University College of Medicine, 73 Goryeodae-Ro, Seongbuk Gu, Seoul, 02841, South Korea.
Yoon Tae JeenDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Korea University College of Medicine, 73 Goryeodae-Ro, Seongbuk Gu, Seoul, 02841, South Korea.
Hong Sik LeeDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Korea University College of Medicine, 73 Goryeodae-Ro, Seongbuk Gu, Seoul, 02841, South Korea.
Joo Ha HwangDivision of Gastroenterology and Hepatology, Stanford University, Stanford, CA, USA.
Hoon Jai ChunDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Korea University College of Medicine, 73 Goryeodae-Ro, Seongbuk Gu, Seoul, 02841, South Korea.

Funding

Korea Health Industry Development Institute HI22C0935Korea Medical Device Development Fund RS-2023-00228946Ministry of SMEs and Startups RS-2023-00321839
6 · The paper itself

Abstract

objectivesEndoscopic submucosal dissection (ESD) is a technically complex procedure associated with prolonged operative duration and a heightened risk of complications. To enhance procedural efficiency and safety, various adjunctive techniques have been introduced, particularly for tissue traction and mucosal defect closure. This study aimed to assess the feasibility and efficacy of a novel robotic dual-function gripper capable of performing both tissue traction and defect approximation in an in vivo model.

methodsA dual-function robotic gripper was developed to facilitate submucosal dissection and post-ESD closure. Comparative experiments were conducted using robot-assisted ESD (RESD) and conventional ESD (CESD) on 24 gastric lesions created in six live pigs. In the RESD group, mucosal defects were closed using the robotic gripper in combination with through-the-scope (TTS) clips, whereas closure in the CESD group was performed using standard TTS clips alone. Primary outcomes included total procedure time, dissection speed, blind dissection rate, and success rate of defect closure. Endoscopic and histological evaluations were conducted on postoperative day 14.

resultsAll lesions were resected without adverse events. Specimen sizes were comparable between groups (928.1 ± 74.5 mm

conclusionThe robotic dual-function gripper significantly enhanced technical performance and mucosal healing in gastric ESD within a porcine model, suggesting its potential as an effective adjunct for gastric therapeutic endoscopy.

Indexed as

Endoscopic Mucosal ResectionGastric MucosaGastroscopyRobotic Surgical ProceduresStomach NeoplasmsTractionWound Closure TechniquesAnimalsDisease Models, AnimalEquipment DesignFeasibility StudiesModels, AnimalOperative TimeSwineClosureESDRobotTraction

Identifiers

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Textmetadata
Read underepoch 390

Registered trials

None linked

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.