Evidence map›Paper›PMID 41689721›Full record

ArticleJournal of robotic surgery2026

The road to 100: single center experience with the first 100 consecutive robotic kidney transplants.

Phillipe Abreu, Haaris Kadri, Rossana Maffei, Keith Hansen, Dor Yoeli, Marissa Di Napoli, Cassidy Yoshida, Ivan Rodriguez, Shannon Lyons, Sixto Giusti and 9 more

Abstract read
PubMed Publisher
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 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.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

19 authors.

Phillipe Abreu *Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO, USA. dr.phillipeabreu@gmail.com.
Haaris Kadri *School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Rossana MaffeiDepartment of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Keith HansenDepartment of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Dor YoeliDepartment of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Marissa Di NapoliDepartment of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Cassidy YoshidaSchool of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Ivan RodriguezDepartment of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Shannon LyonsDepartment of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Sixto GiustiDepartment of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Terri MontagueDepartment of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
James CooperDepartment of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Rashikh ChoudhuryDepartment of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Kendra ConzenDepartment of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Megan AdamsDepartment of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Peter KennealeyDepartment of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Thomas BakDepartment of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Trevor NydamDepartment of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Thomas PshakDepartment of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kidney transplant benefits those with renal failure and has been shown to be advantageous compared to dialysis. Robotic kidney transplantation is a relatively recent advancement that allows for the procedure to be done with smaller incisions, less blood loss, and potentially superior perioperative outcomes for the patient. In this study, we outline a single-center experience with robotic kidney transplant over 4 years. An analysis of the first 100 robotic kidney transplant performed at a single institution was done. The procedures were done using the Da Vinci Xi robotic interface. Patient records were analyzed through the local electronic medical record. Of 100 total cases, the majority of recipients were male, White, and met BMI criteria for obesity. Most grafts had standard anatomy (one artery, vein, and ureter), with exactly 50% being from living donors. Case volume increased from 2 cases in 2021 to 43 in 2025. Operative, warm ischemia, and anastomosis time all trended downwards over the course of the experience, as did length of stay. Robotic kidney transplant was seen to increase access to kidney transplant, especially for those with a BMI ≥ 40. In our experience, the development of a robotic kidney transplant program was made possible due to institutional support, a consistent OR time and staff, and improving patient outcomes. As our program expands, we will continue to provide this treatment for all those whom it may benefit, especially those who would be unlikely to get kidney transplant otherwise, such as patients with high BMI.

Indexed as

Kidney TransplantationRobotic Surgical ProceduresAdultAgedBody Mass IndexFemaleHumansLength of StayMaleMiddle AgedOperative TimeRetrospective StudiesTreatment OutcomeImplementationKidney transplantRobotic kidney transplantRobotic surgery

Identifiers

PMID41689721

What OpenQuestion holds

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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.