Evidence map›Paper›PMID 40336731›Full record

ArticleIJU case reports2025

Initial Case Report of Robot-Assisted Radical Cystectomy With Intracorporeal Neobladder Using hinotori Surgical Robot System.

Hiromitsu Watanabe, Kyohei Watanabe, Yuto Matsushita, Keita Tamura, Daisuke Motoyama, Atsushi Otsuka, Teruo Inamoto, Hideaki Miyake

Abstract read
In one paragraph

Article in IJU case reports, 2025. 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

8 authors.

Hiromitsu WatanabeDepartment of Urology Hamamatsu University School of Medicine Hamamatsu Japan.ORCID https://orcid.org/0000-0001-5186-7139
Kyohei WatanabeDepartment of Urology Hamamatsu University School of Medicine Hamamatsu Japan.
Yuto MatsushitaDepartment of Urology Hamamatsu University School of Medicine Hamamatsu Japan.ORCID https://orcid.org/0000-0002-8159-9793
Keita TamuraDepartment of Urology Hamamatsu University School of Medicine Hamamatsu Japan.
Daisuke MotoyamaDepartment of Urology Hamamatsu University School of Medicine Hamamatsu Japan.ORCID https://orcid.org/0000-0002-5315-3874
Atsushi OtsukaDepartment of Urology Hamamatsu University School of Medicine Hamamatsu Japan.
Teruo InamotoDepartment of Urology Hamamatsu University School of Medicine Hamamatsu Japan.
Hideaki MiyakeDepartment of Urology Kobe University Graduate School of Medicine Kobe Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Robot-assisted radical cystectomy (RARC) is becoming the standard treatment for bladder cancer patients. While this surgery using da Vinci has been widely reported, this report describes the initial experience of RARC with intracorporeal neobladder using the hinotori surgical robot system. Case Presentation: The patient was a 73-year-old man with muscle-invasive bladder cancer who underwent neoadjuvant chemotherapy followed by RARC with intracorporeal neobladder using hinotori. Surgery was successfully performed with a total operative time of 430 min, time using the robotic system of 375 min, and no intraoperative complications or need for blood transfusion. Postoperative recovery was favorable, with the patient discharged on day 12, and satisfactory continence was achieved. Conclusions: This is the initial case report of RARC with intracorporeal neobladder using hinotori, providing a potentially comparable alternative to conventional surgical systems for RARC.

Indexed as

bladder cancerhinotori surgical systemrobot‐assisted radical cystectomy

Identifiers

PMID40336731
PMCPMC12055226

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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.