Evidence map›Paper›PMID 39759990›Full record

ArticleAnnals of gastroenterological surgery2025

Robotic right-sided colon cancer surgery: Dissecting the outermost layer of the autonomic nerve along the superior mesenteric artery.

Dai Shida, Yuka Ahiko, Naoki Sakuyama, Satoko Monma, Shigehiro Kojima

Abstract read
In one paragraph

Article in Annals of gastroenterological surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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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

5 authors.

Dai ShidaDivision of Frontier Surgery, The Institute of Medical Science The University of Tokyo Bunkyō Japan.ORCID https://orcid.org/0000-0003-3294-1924
Yuka AhikoDivision of Frontier Surgery, The Institute of Medical Science The University of Tokyo Bunkyō Japan.
Naoki SakuyamaDivision of Frontier Surgery, The Institute of Medical Science The University of Tokyo Bunkyō Japan.
Satoko MonmaDivision of Frontier Surgery, The Institute of Medical Science The University of Tokyo Bunkyō Japan.
Shigehiro KojimaDivision of Frontier Surgery, The Institute of Medical Science The University of Tokyo Bunkyō Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In right-sided colon cancer surgery, lymph node dissection around the superior mesenteric artery is necessary but technically challenging. Here we introduce the concept of "outermost layer-oriented robotic surgery" to improve the safety, efficacy, and reproducibility of superior mesenteric artery nodal dissection. In this procedure, the thin, loose connective tissue layer between the autonomic nerve sheath of the superior mesenteric artery and adipose tissue bearing lymph nodes, termed "the outermost layer of the autonomic nerve," is dissected. The procedure exposes the outermost layer of the nerve plexus covering the surface of the superior mesenteric artery with a width of approximately 1 cm, enabling direct visualization of the anatomy of the main arteries and, if they exist, jejunal veins which cross the superior mesenteric artery ventrally. This allows for sufficient dissection of main lymph nodes at the roots of the ileocolic artery, right colic artery, and middle colic artery and minimizes the risk of unforeseen bleeding. Thirty-nine patients underwent robotic right hemicolectomy with this procedure. No intraoperative complications were observed. The median number of dissected lymph nodes was 50, including 16 main lymph nodes. The median operative time was 284 min, blood loss was 50 mL, and the median postoperative hospital stay was 8 days. Postoperative complications included two cases of Clavien-Dindo classification grade II, with no cases of grade III or higher. Chylous leakage as well as intractable diarrhea were not observed in any case. These findings demonstrate that the procedure can achieve safe and reliable lymph node clearance.

Indexed as

colon canceroutermost layerright hemicolectomy

Identifiers

PMID39759990
PMCPMC11693560

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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.