Evidence map›Paper›PMID 36818765›Full record

ArticleJSLS : Journal of the Society of Laparoendoscopic Surgeons

Robotic Assisted Transplant Nephrectomy: Case Series and Training Model for Improving Adoption.

Michael McCabe, Thomas Osinski, Randeep Kashyap, Jeremy Taylor, Nathan Schuler, Lauren Shepard, Ahmed Ghazi, Katie Helbig, M Katherine Dokus, Amit Nair and 3 more

Open access · bronzeAbstract readCase Reports
In one paragraph

Article in JSLS : Journal of the Society of Laparoendoscopic Surgeons. 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
1.3field-weighted citation impact, top 19% of its field
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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. [Experience summary of robot-assisted laparoscopic transplant nephrectomy].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2025
    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

13 authors at 2 institutions in 1 country.

Michael McCabeUniversity of Rochester School of Medicine and Dentistry, Rochester, NY.
Thomas OsinskiDepartment of Urology, University of Rochester Medical Center, Rochester, NY.
Randeep KashyapDepartment of Abdominal Transplantation, University of Rochester Medical Center, Rochester, NY.
Jeremy TaylorDepartment of Medicine - Nephrology, University of Rochester Medical Center, Rochester, NY.
Nathan SchulerSimulation Innovation Lab, University of Rochester Medical Center, Rochester, NY.
Lauren ShepardDepartment of Urology, University of Rochester Medical Center, Rochester, NY.
Ahmed GhaziDepartment of Urology, University of Rochester Medical Center, Rochester, NY.
Katie HelbigDepartment of Urology, University of Rochester Medical Center, Rochester, NY.
M Katherine DokusDepartment of Abdominal Transplantation, University of Rochester Medical Center, Rochester, NY.
Amit NairDepartment of Abdominal Transplantation, University of Rochester Medical Center, Rochester, NY.
Karen Pineda-SolisDepartment of Abdominal Transplantation, University of Rochester Medical Center, Rochester, NY.
Mark OrloffDepartment of Abdominal Transplantation, University of Rochester Medical Center, Rochester, NY.
Guan WuDepartment of Urology, University of Rochester Medical Center, Rochester, NY.
University of Rochester Medical Center · USUniversity of Rochester · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Open transplant nephrectomy for failed renal allograft is an invasive procedure associated with significant perioperative morbidity and mortality. Minimally invasive surgical approaches have improved a variety of patient outcomes for many surgeries. Thus, robotic assisted transplant nephrectomy (RATN) potentially offers significant patient benefit. Although previously reported, there remains a paucity of data on RATN outcomes and techniques. Methods: Four perfused, high-fidelity hydrogel models were created using previously described techniques and used for simulated RATN. Subsequently performed institutional cases were included for analysis. Intra- and postoperative variables along with patient demographics were retrospectively obtained through parsing of patient records. Results: Simulated nephrectomy time was 67.33 minutes (35.75 - 98.91). Five patients underwent RATN. There were four male and one female patients. The average age was 47 years. The most common indication was abdominal pain secondary to rejection (3/5). Mean blood loss was 188 mL; mean operative time was 243 minutes, and mean length of stay was 4.5 days. Intraoperatively there were two incidences of small cystotomies. One patient was readmitted within 30 days for intraabdominal abscess. Conclusion: This study adds to the growing literature around RATN, demonstrating the feasibility of the technique and reporting good outcomes for this cohort.

Indexed as

Kidney NeoplasmsKidney TransplantationLaparoscopyRobotic Surgical ProceduresFemaleHumansMaleMiddle AgedNephrectomyRetrospective StudiesMinimally invasive surgical proceduresNephrectomyRenal transplantationRobotic-assisted surgery

Identifiers

PMID36818765
PMCPMC9913067
OpenAlexW4321122003

What OpenQuestion holds

Textmetadata
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.