Evidence map›Paper›PMID 38443502›Full record

ArticleSurgical endoscopy2024

Da Vinci robot-assisted endoscopic full-thickness gastric resection with regional lymph node dissection using a 3D near-infrared video system: a single-center 5-year clinical outcome.

Ah Young Lee, Min Chan Kim, Sungwoo Cho, In Kyung Yoo, Yoo Min Kim, Tae Hee Lee, Jun-Young Seo, Seong Hwan Kim, Joo Young Cho

Abstract readCase Reports
PubMed Publisher
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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

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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 at 6 institutions in 1 country.

Ah Young LeeDivision of Gastroenterology, Department of Internal Medicine, CHA Gangnam Medical Center, College of Medicine, CHA University, 566, Nonhyeon-ro, Gangnam-gu, Seoul, Republic of Korea.
Min Chan KimDepartment of Surgery, College of Medicine, Dong-A University, Busan, Korea.
Sungwoo ChoDivision of Gastroenterology, Department of Internal Medicine, CHA Gangnam Medical Center, College of Medicine, CHA University, 566, Nonhyeon-ro, Gangnam-gu, Seoul, Republic of Korea.
In Kyung YooDigestive Disease Center, CHA Bundang Medical Center, College of Medicine, CHA University, Bundang, Korea.
Yoo Min KimDepartment of Surgery, Severance Hospital, Seoul, Korea.
Tae Hee LeeInstitute for Digestive Research, Soonchunhyang University Seoul Hospital, Seoul, Korea.
Jun-Young SeoDivision of Gastroenterology, Department of Internal Medicine, Bundang Jesaeng General Hospital, Gyeonggi-do, Korea.
Seong Hwan KimDivision of Gastroenterology, Department of Internal Medicine, CHA Gangnam Medical Center, College of Medicine, CHA University, 566, Nonhyeon-ro, Gangnam-gu, Seoul, Republic of Korea.
Joo Young ChoDivision of Gastroenterology, Department of Internal Medicine, CHA Gangnam Medical Center, College of Medicine, CHA University, 566, Nonhyeon-ro, Gangnam-gu, Seoul, Republic of Korea. cjy6695@naver.com.ORCID 0000-0001-9085-0313
CHA University · KRBundang Jesaeng Hospital · KRCHA University Bundang Medical Center · KRDong-A University · KRSeverance Hospital · KRSoonchunhyang University Hospital Seoul · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEndoscopic full-thickness gastric resection (EFTGR) with regional lymph node dissection (LND) has been used for early gastric cancer (EGC) exceeding the indications for endoscopic submucosal dissection (ESD). The extent of the dissected lymph nodes is crucial. A 3D near-infrared (NIR) video robot system significantly enhances visualization of the lymphatic system. However, this system has not been used in EFTGR with LND. Thus, this study assessed the benefits of the 3D NIR video robot system in a clinical setting.

methodsBetween February 2015 and September 2018, 24 patients with EGC exceeding the indications for ESD were treated with EFTGR and LND using a 3D NIR video system with the da Vinci surgical robot. Indocyanine green (ICG) was injected endoscopically around the tumor, and basin node (BN) dissection around the nodes was examined using the 3D NIR video system of the da Vinci Si surgical robot. Subsequently, robot-assisted EFTGR was performed. The primary outcome was the 5-year survival rate.

resultDuring a 5-year follow-up of all 24 patients, an 80-year-old patient with an ulcer and T2 invasion was lost to follow-up. Among the remaining 23 patients, no mortality or recurrence was observed.

conclusionNo metastasis or mortality occurred using the da Vinci robot-assisted EFTGR with LLND and a 3D NIR video system for patients who required radical gastrectomy for EGC in over 5 years. Hence, this may be a safe and effective method for radical gastrectomy; further studies are required confirming its effectiveness.

Indexed as

Endoscopic Mucosal ResectionRoboticsStomach NeoplasmsAged, 80 and overGastrectomyGastric MucosaHumansLymph Node ExcisionLymph NodesRetrospective Studies3D near-infrared video robot systemEarly gastric cancerEndoscopic full-thickness gastric resectionEndoscopic submucosal dissectionLymph node dissection

Identifiers

PMID38443502
OpenAlexW4392448597

What OpenQuestion holds

Textmetadata
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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.