Evidence map›Paper›PMID 39075312›Full record

ArticleSurgical endoscopy2024

From the simulation lab to the operating room: simulation performance predicts intraoperative performance in robotic gastrojejunostomy.

Andres A Abreu, Emile Farah, Amudhan Kannan, Sofia Garces-Palacios, Samy Castillo-Flores, Benjamin Rail, Daniel J Scott, Ganesh Sankaranarayanan, Angela Guzzetta, Herbert J Zeh and 1 more

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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 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

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

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

11 authors.

Andres A AbreuDepartment of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Emile FarahDepartment of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Amudhan KannanDepartment of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Sofia Garces-PalaciosDepartment of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Samy Castillo-FloresDepartment of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Benjamin RailDepartment of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Daniel J ScottDepartment of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Ganesh SankaranarayananDepartment of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Angela GuzzettaDepartment of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Herbert J ZehDepartment of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Patricio M PolancoDepartment of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA. Patricio.polanco@gmail.com.ORCID 0000-0002-1719-1208

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSimulation and video-based assessment (VBA) offer residents the opportunity to develop operative skills while ensuring patient safety. This study aims to determine whether simulation training can predict residents' operative performance, focusing on the gastrojejunal (GJ) anastomosis during robotic pancreatoduodenectomy.

methodsTwenty-seven general surgery residents completed simulated robotic GJ drills and subsequently performed GJs in the operating room (OR). Both simulated and intraoperative performances were video recorded and retrospectively assessed by two blinded graders using the Objective Structural Assessment of Technical Skills (OSATS) scale, time to completion, and occurrence of errors. Intraoperative GJ OSATS scores were compared in cases with and without Clinically Relevant Delayed Gastric Emptying (CRDGE). Statistical analysis was performed using Spearman's rho, Chi-square, and Kruskal-Wallis tests.

resultsFor simulated GJs, the median OSATS score was 29 (IQR 27-33), time to completion was 30 min (IQR 27-35), and 11 cases had at least one error. Intraoperative GJs had a median OSATS of 30 (IQR 27-31), time to completion of 41 min (IQR 36-51), and errors occurred in nine cases. The OSATS score on the simulated GJs demonstrated a significant positive correlation to the OSATS score on the operative GJs (r = 0.74; p < 0.001) and less time to completion (r =  - 0.68; p < 0.001). A shorter simulated GJ completion time significantly correlated with a higher intraoperative OSATS score (r =  - 0.52; p < 0.01). Residents with at least one error in the simulated GJs had lower OSATS scores and higher times intraoperatively. Those cases with CRDGE had significantly lower intraoperative OSATS scores than those without CRDGE.

conclusionPerformance on a simulated robotic GJ environment is a robust predictor of OR GJ performance, demonstrating predictive validity. VBA of residents' operative GJ performance is associated with the presentation of CRDGE. Simulation-based training may be crucial to optimizing surgical outcomes before operating on patients.

Indexed as

Clinical CompetenceGastric BypassInternship and ResidencyPancreaticoduodenectomyRobotic Surgical ProceduresSimulation TrainingFemaleGeneral SurgeryHumansMaleOperating RoomsRetrospective StudiesCurriculum developmentRobotic surgerySimulationSurgical skills

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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.