Evidence map›Paper›PMID 42352411›Full record

ReviewCancers2026

Minimally Invasive Surgery in Gastric Cancer.

Jane Chungyoon Kim, Hyuk-Joon Lee

Abstract readReview
In one paragraph

Review in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Jane Chungyoon KimDepartment of Surgery, Seoul National University Hospital, Seoul 03080, Republic of Korea.
Hyuk-Joon LeeDepartment of Surgery, Seoul National University Hospital, Seoul 03080, Republic of Korea.ORCID 0000-0002-9530-647X

Funding

Ministry of Health and Welfare the National R&D Program for Cancer Control through the National Cancer Center ((RS-2026-25517509))
6 · The paper itself

Abstract

Minimally invasive gastrectomy has become an established surgical approach for gastric cancer, supported by randomized trials demonstrating oncologic outcomes comparable to open surgery. Initially applied mainly to early-stage disease, laparoscopic gastrectomy has gradually expanded to selected patients with advanced gastric cancer and to more complex procedures, including total gastrectomy. In parallel, robotic surgery and reduced-port techniques have further broadened the technical spectrum of minimally invasive gastric cancer surgery. This review summarizes current evidence on laparoscopic, robotic, and reduced-port gastrectomy, with emphasis on randomized trials, large-scale clinical studies, and recent guideline recommendations. Laparoscopic distal gastrectomy has shown robust oncologic equivalence in early and selected advanced gastric cancer, while evidence for laparoscopic total gastrectomy continues to grow, particularly in experienced centers. Robotic and reduced-port approaches appear feasible and safe in selected settings, although clear superiority over standard laparoscopy has not been established. As minimally invasive techniques are adopted more widely, careful consideration is needed during program development and expansion. Patient selection, surgeon experience, learning curve, institutional volume, standardized operative procedures, quality control, and multidisciplinary support are important factors for safe implementation. Future studies should focus not only on comparing surgical approaches, but also on defining how minimally invasive gastrectomy can be applied safely and consistently across diverse clinical settings.

Indexed as

centralizationgastric cancerlaparoscopic gastrectomylearning curveminimally invasive surgeryquality controlreduced-port surgeryrobotic gastrectomysurgical outcomes

Identifiers

PMID42352411
PMCPMC13297512

What OpenQuestion holds

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LicenceCC BY
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.