Evidence map›Paper›PMID 37985489›Full record

ArticleSurgical endoscopy2024

A novel twin-grasper assisted mucosal inverted closure technique for closing large artificial gastric mucosal defects.

Qinbo Cai, Huanjie Chen, Haobin Hou, Wenqing Dong, Lele Zhang, Minxuan Shen, Shaoxiong Yi, Rongman Xie, Xun Hou, Wentong Lan and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Surgical endoscopy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

12 authors at 1 institution in 1 country.

Qinbo Cai *Center for Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Huanjie Chen *Center for Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Haobin Hou *Center for Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Wenqing DongCenter for Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Lele ZhangCenter for Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Minxuan ShenCenter for Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Shaoxiong YiCenter for Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Rongman XieCenter for Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Xun HouCenter for Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Wentong LanDepartment of Endoscopy, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China. lanwt3@mail.sysu.edu.cn.
Yulong HeCenter for Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China. heyulong@mail.sysu.edu.cn.
Dongjie YangCenter for Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China. ydongj@mail.sysu.edu.cn.ORCID 0000-0003-2606-2106
Sun Yat-sen University · CN

Funding

Special Funds for the Basic Research and Development Program in the Central Non-profit Research Institutesof China 2021-JKCS-004the China Postdoctoral Science Foundation 2022M713583the China Postdoctoral Science Foundation 2022T150756the GuangDong Basic and Applied Basic Research Foundation 2021A1515110495the Guangdong Provincial Key Laboratory of Digestive Cancer Research 2021B1212040006the National Natural Science Foundation of China 82172637
6 · The paper itself

Abstract

backgroundLarge artificial gastric mucosal defects are always left unclosed for natural healing due to technique difficulties in closure. This study aims to evaluate the feasibility and safety of a new Twin-grasper Assisted Mucosal Inverted Closure (TAMIC) technique in closing large artificial gastric mucosal defects.

methodsEndoscopic submucosal dissection (ESD) was performed in fifteen pigs to create large gastric mucosal defects. The mucosal defects were then either left unclosed or closed with metallic clips using TAMIC technique. Successful closure rate and the wound outcomes were assessed.

resultsTwo mucosal defects with size of about 4.0 cm were left unclosed and healed two months after surgery. Thirteen large gastric mucosal defects were created by ESD with a medium size of 5.9 cm and were successfully closed with the TAMIC technique (100%), even in a mucosal defect with a width up to 8.5 cm. The mean closure time was 59.0 min. Wounds in eight stomachs remained completely closed 1 week after surgery (61.5%), while closure in the other five stomachs had partial wound dehiscence (38.5%). Four weeks later, all the closed defects healed well and 61.5% of the wounds still remained completely closed during healing. There was no delayed perforation or bleeding after surgery. In addition, there was less granulation in the submucosal layer of the closed wound sites than those under natural healing.

conclusionsThe present study suggests that TAMIC is feasible and safe in closing large artificial gastric mucosal defects and could improve mucosal recovery compared to natural healing process.

Indexed as

Endoscopic Mucosal ResectionWound Closure TechniquesAnimalsGastric MucosaPostoperative ComplicationsSurgical InstrumentsSwineTreatment OutcomeClosure techniqueEndoscopic submucosal dissectionLarge gastric mucosal defectsWound healing

Identifiers

PMID37985489
PMCPMC10776692
OpenAlexW4388819266

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.