Evidence map›Paper›PMID 38197081›Full record

ArticleTranslational cancer research2023

Robot-assisted radical nephroureterectomy for upper urinary tract tumor: initial experience with the use of novel surgical robot system, hinotori.

Daisuke Motoyama, Yuto Matsushita, Hiromitsu Watanabe, Keita Tamura, Atsushi Otsuka, Masato Fujisawa, Hideaki Miyake

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
7.0field-weighted citation impact, top 2% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Daisuke MotoyamaDepartment of Urology, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Yuto MatsushitaDepartment of Urology, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Hiromitsu WatanabeDepartment of Urology, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Keita TamuraDepartment of Urology, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Atsushi OtsukaDepartment of Urology, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Masato FujisawaDivision of Urology, Kobe University Graduate School of Medicine, Kobe, Japan.
Hideaki MiyakeDepartment of Urology, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Hamamatsu University School of Medicine · JPKobe University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The hinotori surgical robot system is a promising robotic platform that has been recently introduced into routine clinical practice. The aim of this study was to report our initial experience of robot-assisted radical nephroureterectomy (RANU) using hinotori. Methods: This study included a total of eight patients with upper urinary tract tumor (UUTT) who underwent RANU using hinotori via the transperitoneal approach. In this series, nephrectomy was initially performed at the kidney direction stage followed by distal ureterectomy and bladder cuff excision at the bladder direction stage without repositioning of patient or port. Lymphadenectomy was performed at either stage. Results: Median age, body mass index, and tumor diameter were 76 years, 21.7 kg/m Conclusions: Despite being a small case series, this is the first study characterizing RANU using the hinotori surgical robot system. RANU was efficaciously and safely performed, resulting in the achievement of favorable perioperative findings.

Indexed as

Hinotoriperioperative outcomesrobot-assisted radical nephroureterectomy (RANU)

Identifiers

PMID38197081
PMCPMC10774064
OpenAlexW4390369147

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.