Evidence map›Paper›PMID 41712111›Full record

ArticleJournal of robotic surgery2026

Robotic training in transplant surgery fellowship: shaping the next generation of transplant surgeons.

Caleb Harsin, Amen Kiani, Neeta Vachharajani, Angela Hill, Meranda Scherer, Jesse T Davidson, Jason R Wellen, Jessica Lindemann, Majella B Doyle, William C Chapman and 1 more

Abstract read
In one paragraph

Article in Journal of robotic surgery, 2026. 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

11 authors.

Caleb HarsinSection of Abdominal Transplant, Department of General Surgery, Washington University in St. Louis, St. Louis, MO, 63110, USA.
Amen KianiSection of Abdominal Transplant, Department of General Surgery, Washington University in St. Louis, St. Louis, MO, 63110, USA.
Neeta VachharajaniSection of Abdominal Transplant, Department of General Surgery, Washington University in St. Louis, St. Louis, MO, 63110, USA.ORCID http://orcid.org/0009-0004-4115-2200
Angela HillSection of Abdominal Transplant, Department of General Surgery, Washington University in St. Louis, St. Louis, MO, 63110, USA.
Meranda SchererSection of Abdominal Transplant, Department of General Surgery, Washington University in St. Louis, St. Louis, MO, 63110, USA.
Jesse T DavidsonSection of Abdominal Transplant, Department of General Surgery, Washington University in St. Louis, St. Louis, MO, 63110, USA.
Jason R WellenSection of Abdominal Transplant, Department of General Surgery, Washington University in St. Louis, St. Louis, MO, 63110, USA.
Jessica LindemannSection of Abdominal Transplant, Department of General Surgery, Washington University in St. Louis, St. Louis, MO, 63110, USA.
Majella B DoyleSection of Abdominal Transplant, Department of General Surgery, Washington University in St. Louis, St. Louis, MO, 63110, USA.
William C ChapmanSection of Abdominal Transplant, Department of General Surgery, Washington University in St. Louis, St. Louis, MO, 63110, USA.ORCID http://orcid.org/0000-0002-0072-3239
Adeel S KhanSection of Abdominal Transplant, Department of General Surgery, Washington University in St. Louis, St. Louis, MO, 63110, USA. akhan24@wustl.edu.ORCID http://orcid.org/0000-0001-5073-4238

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The indications for robotic surgery in transplant and HPB procedures are rapidly expanding. However, there is growing concern about the adequacy of robotic training during fellowship in preparing trainees for the evolving demands of modern transplant surgery. This is a single center, retrospective review of the robotic experience of 9-abdominal transplant fellows (ASTS) over a 7-year period (2017–2024) at a high-volume center. A 10-question survey was administered to elicit fellow perspective on their training. The 9 fellows participated in 692 of the total 860 robotic cases (80%) performed on the transplant service during the study period. Case breakdown was 337 (49%) transplant and 355 (51%) HPB cases. Fellows performed 91% of the operations on the console and 9% as bedside assistant. All fellows believed that robotic fellowship training will improve a fellow’s job prospects, and 87% felt that indications for robotic approaches in transplant surgery will broaden significantly. Incorporating formal robotic training in transplant surgery fellowships enhances the fellowship experience by better preparing fellows for the challenges of modern transplant surgery.

Indexed as

Fellowships and ScholarshipsOrgan TransplantationRobotic Surgical ProceduresSurgeonsHumansRetrospective StudiesSurveys and QuestionnairesCurriculumEducationRoboticsSurgical simulationSurgical trainingTransplant fellowship

Identifiers

PMID41712111
PMCPMC12920301

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.