Evidence map›Paper›PMID 39661187›Full record

ArticleCanadian Urological Association journal = Journal de l'Association des urologues du Canada2025

Robotic-assisted partial nephrectomy using the Hugo

Adam Bobrowski, William Wu, Chelsea Angeles, Simon Czajkowski, Jason Y Lee

Abstract read
In one paragraph

Article in Canadian Urological Association journal = Journal de l'Association des urologues du Canada, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–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, 2 syntheses or guidelines pooled it.

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

5 authors.

Adam BobrowskiDivision of Urology, Department of Surgery, University of Toronto, Toronto, ON, Canada.
William WuDivision of Urology, University Health Network, Toronto, ON, Canada.
Chelsea AngelesDivision of Urology, University Health Network, Toronto, ON, Canada.
Simon CzajkowskiDivision of Urology, University Health Network, Toronto, ON, Canada.
Jason Y LeeDivision of Urology, Department of Surgery, University of Toronto, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRobotic-assisted surgery (RAS) is a vital modality in the armamentarium of minimally invasive surgeons. The Hugo™ RAS system (Medtronic

methodsWe conducted a retrospective review of patients who underwent a RAPNx with the Hugo™ RAS platform between April and December 2023 at the University Health Network in Toronto, ON. One surgeon performed all procedures using a three-arm transperitoneal approach. Anesthetic, operative, and pathologic reports were assessed to collect pre-, intra- and postoperative variables.

resultsEleven patients were included. The mean age was 51 years, 45.0% were female, and 63.6% had a right-sided mass. Mean tumor size was 2.9 cm. Mean warm ischemia time was 18.9 minutes (standard deviation [SD] 7.12) and mean estimated blood loss was 179 ml (SD 63.6). Mean robot docking time was 232 seconds (SD 106.5), mean total console time was 93 minutes (SD 21.4), and mean total operative time was 165.6 minutes (SD 34.1). There were no intraoperative complications. On pathology review, most tumors were a clear-cell variant (72.7%) and staged pT1a (81.8%). All margins were negative. One patient sustained a port site infection.

conclusionsThis is the first North American case series using the Hugo™ RAS platform for RAPNx. Our findings underscore that the platform is safe and effective for performing RAPNx with comparable outcomes to other robotic platforms.

Identifiers

PMID39661187
PMCPMC11973987

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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.