Evidence map›Paper›PMID 40637381›Full record

ArticleJournal of surgical oncology2025

Risk of Open Conversion During Robotic Gastrectomy for Gastric Cancer: Optimizing Patient Selection.

Courtney Chen, Tiffany Lim, Annie Yang, Ian Lau, Kelly Mahuron, Ryuhei Aoyama, Michael Sullivan, Bradford Kim, Aaron Lewis, Laleh Melstrom and 3 more

Abstract read
In one paragraph

Article in Journal of surgical oncology, 2025. 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

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

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

13 authors.

Courtney ChenDivision of Surgical Oncology, Department of Surgery, City of Hope Comprehensive Cancer Center, Duarte, California, USA.
Tiffany LimDepartment of Surgery, Cedars Sinai Medical Center, Los Angeles, California, USA.
Annie YangDivision of Surgical Oncology, Department of Surgery, City of Hope Comprehensive Cancer Center, Duarte, California, USA.
Ian LauBrown University, Providence, Rhode Island, USA.
Kelly MahuronDivision of Surgical Oncology, Department of Surgery, City of Hope Comprehensive Cancer Center, Duarte, California, USA.
Ryuhei AoyamaDivision of Surgical Oncology, Department of Surgery, City of Hope Comprehensive Cancer Center, Duarte, California, USA.
Michael SullivanDepartment of Anesthesiology, City of Hope National Medical Center, Duarte, California, USA.
Bradford KimDivision of Surgical Oncology, Department of Surgery, City of Hope Comprehensive Cancer Center, Duarte, California, USA.
Aaron LewisDivision of Surgical Oncology, Department of Surgery, City of Hope Comprehensive Cancer Center, Duarte, California, USA.
Laleh MelstromDivision of Surgical Oncology, Department of Surgery, City of Hope Comprehensive Cancer Center, Duarte, California, USA.ORCID https://orcid.org/0000-0001-6279-7981
I Benjamin PazDivision of Surgical Oncology, Department of Surgery, City of Hope Comprehensive Cancer Center, Duarte, California, USA.
Yuman FongDivision of Surgical Oncology, Department of Surgery, City of Hope Comprehensive Cancer Center, Duarte, California, USA.ORCID https://orcid.org/0000-0002-8934-9959
Yanghee WooDivision of Surgical Oncology, Department of Surgery, City of Hope Comprehensive Cancer Center, Duarte, California, USA.

Funding

This study was supported by Capital Group, Daphne Tong.
6 · The paper itself

Abstract

BACKGROUND AND

objectivesRobotic surgery for gastric adenocarcinoma (GC) shows recovery benefits compared to open and laparoscopic approaches. While open conversion (OC) is associated with poorer outcomes, factors influencing robotic gastrectomy (RG) OC are obscure. We identified preoperative and intraoperative risk factors for OC and associated outcomes.

methodsWe performed a retrospective analysis of RG using a prospectively maintained GC database from a high-volume comprehensive US cancer center between January 2010 and October 2022. RG standardization began in July 2015, with ongoing expansion of patient selection criteria. Patients who underwent radical resection with biopsy-proved GC were included in the analysis if the operation was initiated robotically. Preoperative documentation of likely to convert to open procedures was identified.

resultsOf 289 gastrectomy cases, 133 (46.0%) were RG. Before RG standardization, OC rate was 42.1% (n = 8/19); then decreased to 15.8% (n = 18/114). Factors causing unplanned OC included instability upon insufflation (7.7%), difficult esophagojejunostomy (23.1%), bulky nodes (26.9%), and tumor invasion/fibrosis (38.5%). On multivariate analysis, Preoperative EUS (OR 0.78) decreased OC likelihood, whereas prior abdominal surgeries (OR 1.31) increased OC likelihood (p < 0.05). D2 lymphadenectomy and neoadjuvant treatment did not increase OC likelihood.

conclusionsPre-operatively identifiable OC factors can guide RG patient selection. Yet, certain intraoperative findings challenge RG and require improved preoperative planning.

Indexed as

AdenocarcinomaConversion to Open SurgeryGastrectomyPatient SelectionRobotic Surgical ProceduresStomach NeoplasmsAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedRetrospective StudiesRisk Factorsadvanced gastric cancerendoscopic ultrasoundopen conversionrobotic gastrectomy

Identifiers

PMID40637381
PMCPMC12455542

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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.