Evidence map›Paper›PMID 39243070›Full record

ArticleWorld journal of surgical oncology2024

Successful modified CLEAN-NET with semicircular seromuscular layer incision for a gastric GIST near the cardia: a case report and video demonstration.

Hitoshi Hara, Seito Shimizu, Yasuhide Muto, Tomoki Kido, Ryohei Miyata, Moe Tokuda, Kyuichiro Takahashi, Tomohiro Maesono, Takahiro Ajihara, Aki Yagi and 2 more

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In one paragraph

Article in World journal of surgical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. Article
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.

Hitoshi HaraDepartment of Surgery, Social Welfare Organization Saiseikai Imperial Gift Foundation, Inc., Saiseikai Kazo Hospital, 1680 Kamitakayanagi, Kazo-city, Saitama, 347-0101, Japan. hhara@saikazo.org.
Seito ShimizuDepartment of Surgery, Social Welfare Organization Saiseikai Imperial Gift Foundation, Inc., Saiseikai Kazo Hospital, 1680 Kamitakayanagi, Kazo-city, Saitama, 347-0101, Japan.
Yasuhide MutoDepartment of Surgery, Social Welfare Organization Saiseikai Imperial Gift Foundation, Inc., Saiseikai Kazo Hospital, 1680 Kamitakayanagi, Kazo-city, Saitama, 347-0101, Japan.
Tomoki KidoDepartment of Surgery, Social Welfare Organization Saiseikai Imperial Gift Foundation, Inc., Saiseikai Kazo Hospital, 1680 Kamitakayanagi, Kazo-city, Saitama, 347-0101, Japan.
Ryohei MiyataDepartment of Surgery, Social Welfare Organization Saiseikai Imperial Gift Foundation, Inc., Saiseikai Kazo Hospital, 1680 Kamitakayanagi, Kazo-city, Saitama, 347-0101, Japan.
Moe TokudaDepartment of Gastroenterology, Social Welfare Organization Saiseikai Imperial Gift Foundation, Inc., Saiseikai Kazo Hospital, Kazo, Saitama, Japan.
Kyuichiro TakahashiDepartment of Gastroenterology, Social Welfare Organization Saiseikai Imperial Gift Foundation, Inc., Saiseikai Kazo Hospital, Kazo, Saitama, Japan.
Tomohiro MaesonoDepartment of Gastroenterology, Social Welfare Organization Saiseikai Imperial Gift Foundation, Inc., Saiseikai Kazo Hospital, Kazo, Saitama, Japan.
Takahiro AjiharaDepartment of Gastroenterology, Social Welfare Organization Saiseikai Imperial Gift Foundation, Inc., Saiseikai Kazo Hospital, Kazo, Saitama, Japan.
Aki YagiDepartment of Gastroenterology, Social Welfare Organization Saiseikai Imperial Gift Foundation, Inc., Saiseikai Kazo Hospital, Kazo, Saitama, Japan.
Takuma NaritomiDepartment of Gastroenterology, Social Welfare Organization Saiseikai Imperial Gift Foundation, Inc., Saiseikai Kazo Hospital, Kazo, Saitama, Japan.
Michio ItabashiDepartment of Surgery, Social Welfare Organization Saiseikai Imperial Gift Foundation, Inc., Saiseikai Kazo Hospital, 1680 Kamitakayanagi, Kazo-city, Saitama, 347-0101, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe combination of laparoscopic and endoscopic approaches to neoplasia with a non-exposure technique (CLEAN-NET) is a laparoscopic and endoscopic cooperative surgery (LECS). It combines laparoscopic gastric resection and endoscopic techniques for local resection of gastric tumors, such as gastrointestinal stromal tumors (GIST), with minimal surgical margins. A conventional CLEAN-NET surgical procedure is complex, requiring careful techniques to preserve the cardia, particularly in case of nearby lesions. We describe the case of a patient who underwent a modified CLEAN-NET approach with a semi-circular seromuscular layer incision surrounding the base of the tumor, different from a circular shape seromuscular layer in the conventional CLEAN-NET: around the tumor to preserve mucosal continuity, which acts as a barrier to avoid intraoperative tumor dissemination. CASE PRESENTATION: A 43-year-old woman was referred to our hospital because of a gastric submucosal tumor near the cardia, detected on medical examination. The patient was diagnosed with gastric GIST based on the results of endoscopic ultrasound-guided fine-needle aspiration. Modified CLEAN-NET was performed with a semicircular incision of the seromuscular layer on the opposite side of the cardia, making the surgical procedure simple and minimizing partial resection of the gastric wall, including the tumor, while preserving the cardia. The operative time was 147 min, preoperative blood loss volume was 3 mL, and postoperative hospital stay was 9 days. The resected specimen revealed a minimal resection of the gastric wall, including the tumor. The cardia and gastric nerves were preserved, and the postoperative food intake was good.

conclusionsThe modified CLEAN-NET with semicircular seromuscular layer dissection is a simple and reliable surgical procedure for GIST near the cardia.

Indexed as

CardiaGastrectomyGastrointestinal Stromal TumorsLaparoscopyStomach NeoplasmsAdultEndoscopic Ultrasound-Guided Fine Needle AspirationFemaleGastroscopyHumansPrognosisCase reportCombination of laparoscopic and endoscopic approaches to neoplasia with a non-exposure technique (CLEAN-NET)Gastrointestinal stromal tumor (GIST)Laparoscopic and endoscopic cooperative surgery (LECS)StomachSubmucosal tumor

Identifiers

PMID39243070
PMCPMC11380435

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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.