Evidence map›Paper›PMID 42414770›Full record

ArticleSurgical endoscopy2026

Balancing the scales: predictors of performance and the long-term impact of a robotic surgery curriculum.

Colin M Johnson, Sarah B Hays, Jason L Schwarz, Kristine Kuchta, Aram Rojas, Syed A Mehdi, Sangrag Ganguli, Alessia Vallorani, Miral S Grandhi, Melissa E Hogg

Erratum issuedAbstract read
In one paragraph

Article in Surgical endoscopy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

10 authors.

Colin M Johnson *Department of Surgery, Rutgers New Jersey Medical School, Newark, NJ, USA. cmj150@njms.rutgers.edu.ORCID http://orcid.org/0009-0001-6150-6799
Sarah B Hays *Department of Surgery, University of Chicago, Chicago, IL, USA.
Jason L SchwarzDepartment of Surgery, University of Chicago, Chicago, IL, USA.
Kristine KuchtaDepartment of Surgery, Endeavor Health - Evanston Hospital, 2650 Ridge Ave, Chicago, IL, 60201, USA.
Aram RojasDepartment of Surgery, Endeavor Health - Evanston Hospital, 2650 Ridge Ave, Chicago, IL, 60201, USA.
Syed A MehdiDepartment of Surgery, Endeavor Health - Evanston Hospital, 2650 Ridge Ave, Chicago, IL, 60201, USA.
Sangrag GanguliDepartment of Surgery, University of Chicago, Chicago, IL, USA.
Alessia ValloraniDepartment of Surgery, Endeavor Health - Evanston Hospital, 2650 Ridge Ave, Chicago, IL, 60201, USA.ORCID http://orcid.org/0000-0002-7502-4790
Miral S GrandhiDepartment of Surgery, Endeavor Health - Evanston Hospital, 2650 Ridge Ave, Chicago, IL, 60201, USA.
Melissa E HoggDepartment of Surgery, University of Chicago, Chicago, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe expansion of robotic surgery has created interest in resident robotic curricula to develop competent robotic surgeons. While it has been demonstrated that curricula improve technical performance, less is known about resident factors that predispose poor baseline performance and whether structured training can reduce these disparities. Predictors of early underperformance were hypothesized to be attenuated after completion of a multimodal robotic curriculum.

methodsPGY-3 general surgery residents (2019-2023) completed a standardized 2-week curriculum. Training included periodic assessment tests, virtual reality (VR) simulation training, and procedure-based simulation with bio-tissue drills. Objective performance across the curriculum was evaluated, and resident-specific predictors of performance were examined. Performance was graded by an expert surgeon using OSATS (range 6-30). Perceived mental workload and stress were measured using the NASA Task Load Index, Borg Exertion Scale, and Edwards Arousal Rating.

resultsThirty-nine residents completed the curriculum. Residents were stratified by pre-test mOSATS; high (top 25%), mid (50%), and low (bottom 25%). Pre-test strata remained associated with VR post-test strata (50% of high performers and 55% of low performers remained in pre-test strata; p = 0.041). However, pre-test and post-test strata were not associated with final test performance after bio-tissue drills. Higher pre-curriculum comfort predicted high pre-test performance (p = 0.003). Low pre-test performance was associated with male sex (p = 0.010), less robotic experience (p = 0.025), and lower pre-curriculum comfort (p = 0.031). Anticipated career use of robotics predicted better initial bio-tissue drill performance (running hepaticojejunostomy p = 0.042; interrupted hepaticojejunostomy p = 0.024). Higher baseline stress correlated with worse final pancreatojejunostomy performance (Spearman ρ = -0.46; p = 0.004).

conclusionsResident characteristics influence early robotic simulation performance, but a structured curriculum mitigates baseline disparities such that initial performance and its predictors no longer influence final outcomes. These findings highlight the value of a robotic curriculum's ability to foster competency and optimize resident training.

Indexed as

Clinical CompetenceCurriculumGeneral SurgeryInternship and ResidencyRobotic Surgical ProceduresAdultFemaleHumansMaleSimulation TrainingOSATSResident educationRobotic surgery curriculumRobotic surgery trainingSimulation-based trainingVirtual reality simulation

Identifiers

PMID42414770
PMCPMC13457330

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Registered trials

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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.