Evidence map›Paper›PMID 42271014›Full record

ArticleSurgical endoscopy2026

Evaluating robotic surgery skills decay and maintenance of proficiency in a high-fidelity simulated environment.

Ricardo E Nunez-Rocha, Samy Castillo-Flores, Andres A Abreu, Roberto Ramirez, Morgan Pettigrew, Sofia Garces-Palacios, Amr Al Abbas, Angela A Guzzetta, Daniel J Scott, Herbert J Zeh and 2 more

Abstract 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. 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

12 authors.

Ricardo E Nunez-RochaDepartment of Surgery, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX, 75390, USA.
Samy Castillo-FloresDepartment of Surgery, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX, 75390, USA.
Andres A AbreuDepartment of Surgery, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX, 75390, USA.
Roberto RamirezDepartment of Surgery, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX, 75390, USA.
Morgan PettigrewDepartment of Surgery, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX, 75390, USA.
Sofia Garces-PalaciosDepartment of Surgery, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX, 75390, USA.
Amr Al AbbasDepartment of Surgery, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX, 75390, USA.
Angela A GuzzettaDepartment of Surgery, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX, 75390, USA.
Daniel J ScottDepartment of Surgery, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX, 75390, USA.
Herbert J ZehDepartment of Surgery, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX, 75390, USA.
Ganesh SankaranarayananDepartment of Surgery, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX, 75390, USA.
Patricio M PolancoDepartment of Surgery, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX, 75390, USA. patricio.polanco@utsouthwestern.edu.ORCID http://orcid.org/0000-0002-1719-1208

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSkill retention and decay are critical in robotic surgical simulation training. While performance decay has been studied in virtual reality platforms, its effects in high-fidelity biotissue drills remain underexplored. We evaluated both the impact of training breaks and the benefits of continued practice beyond proficiency among general surgery residents performing simulated robotic bowel anastomoses.

methodsThis retrospective study analyzed 132 h of robotic simulation from 45 residents who reached proficiency (OSATS ≥ 28) on a high-fidelity bowel anastomosis drill. Two cohorts were included: a skill decay group (n = 30) who returned ≥ 1 month after achieving proficiency, and a continued training group (n = 15) who completed ≥ 3 additional sessions post-proficiency. OSATS scores and task times were compared between initial and follow-up sessions. Skill decay was defined as a ≥ 2-point OSATS drop or ≥ 6-min time increase. Statistical tests included paired comparisons, ROC analysis, and multivariable logistic regression.

resultsIn the skill decay group, the median interval was 91 days (IQR 63-134). Task time increased from 30.5 to 34.5 min (p = 0.03), while OSATS declined from 30 to 28 (p = 0.001). By 6 months, OSATS scores dropped 17.6% and time worsened 19.3%. ROC curves identified 84 days (AUC 0.76) for technical decay and 188 days (AUC 0.89) for efficiency loss. Higher baseline OSATS predicted decline (OR 2.72; p = 0.02). In the continued training group, OSATS improved from 29.5 to 34 (p < 0.001), and task time decreased from 30.5 to 25.5 min (p = 0.01).

conclusionRobotic simulation performance deteriorates within 3-6 months of inactivity. Conversely, continued deliberate practice beyond proficiency yields measurable gains. Structured refreshers near the 3-month mark and extended practice should be integrated into robotic curricula to sustain readiness.

Indexed as

Clinical CompetenceGeneral SurgeryInternship and ResidencyRobotic Surgical ProceduresAnastomosis, SurgicalFemaleHumansMaleRetention, PsychologyRetrospective StudiesOSATSProficiencyRobotic surgeryTechnical skill retentionTraining beyond proficiency

Identifiers

PMID42271014
PMCPMC13457490

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.