Evidence map›Paper›PMID 40080316›Full record

ArticleJournal of robotic surgery2025

Evaluating the impact of a navigation system on the initial cases of robotic gastrectomy for gastric cancer.

Jae Hun Chung, Dongwon Lim, Si-Hak Lee, Sun-Hwi Hwang

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of robotic surgery, 2025. 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

4 authors.

Jae Hun ChungDivision of Gastrointestinal Surgery, Department of Surgery, Pusan National University Yangsan Hospital, 20 Geumo-ro, Mulgeum-eup, Yangsan, Kyungsangnam-do, 50612, Korea.ORCID http://orcid.org/0000-0002-7821-5445
Dongwon LimSchool of Medicine, Pusan National University, Yangsan, Korea.ORCID http://orcid.org/0000-0001-9961-6937
Si-Hak LeeDivision of Gastrointestinal Surgery, Department of Surgery, Pusan National University Yangsan Hospital, 20 Geumo-ro, Mulgeum-eup, Yangsan, Kyungsangnam-do, 50612, Korea.ORCID http://orcid.org/0000-0002-1923-4777
Sun-Hwi HwangDivision of Gastrointestinal Surgery, Department of Surgery, Pusan National University Yangsan Hospital, 20 Geumo-ro, Mulgeum-eup, Yangsan, Kyungsangnam-do, 50612, Korea. hwangsh@pusan.ac.kr.ORCID http://orcid.org/0000-0001-8058-0524

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic gastrectomy for gastric cancer presents challenges for novice surgeons owing to the lack of tactile feedback, particularly during complex procedures, such as lymph node dissection. To address these issues, a vascular navigation system was developed to enhance procedural safety and efficiency by providing three-dimensional vascular and anatomical guidance. We retrospectively analyzed 49 patients who underwent robotic distal gastrectomy at Pusan National University Yangsan Hospital. Patients were divided into two groups: those without navigation support (noRUS) and those with a vascular navigation system (RUS). We compared the dissection time, number of lymph nodes (LNs) retrieved, C-reactive protein level on postoperative day 3 (CRPD3), and postoperative recovery status. Univariate and multivariate linear regression analyses were performed. The RUS group demonstrated significantly shorter dissection times (179.85 ± 6.88 vs. 204.87 ± 9.60 min, p = 0.0478) and higher LN retrieval (41.81 ± 2.77 vs. 30.96 ± 2.31, p = 0.0048). The CRPD3, a marker of surgical trauma, was significantly lower in the RUS group (8.27 ± 0.85 vs. 11.68 ± 1.13 mg/dL, p = 0.0184). Moreover, no significant differences were observed in the complication rates or postoperative recovery. The vascular navigation system significantly improved surgical efficiency and LN retrieval and reduced surgical trauma during robotic gastrectomy. This study is the first to evaluate the impact of the navigation system on novice surgeons, highlighting its potential to overcome the learning curve earlier and improve patient outcomes.

Indexed as

GastrectomyRobotic Surgical ProceduresStomach NeoplasmsSurgery, Computer-AssistedAdultAgedC-Reactive ProteinFemaleHumansLymph Node ExcisionMaleMiddle AgedOperative TimeRetrospective StudiesC-Reactive ProteinGastric cancerLearning curveLymph node dissectionRobotic gastrectomyVascular navigation

Identifiers

What OpenQuestion holds

Textmetadata
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.