Evidence map›Paper›PMID 39196300›Full record

ArticleJournal of robotic surgery2024

Standardization of robot-assisted radical nephroureterectomy via intraperitoneal approach: insights from a high-volume Japanese Center.

Shugo Yajima, Yasukazu Nakanishi, Kohei Hirose, Madoka Kataoka, Hitoshi Masuda

Abstract read
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Article in Journal of robotic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

5 authors.

Shugo YajimaDepartment of Urology, National Cancer Center Hospital East, 6-5-1 Kashiwa no ha, Kashiwa City, Chiba, 277-8577, Japan. shuyajim@east.ncc.go.jp.ORCID http://orcid.org/0000-0003-2300-8446
Yasukazu NakanishiDepartment of Urology, National Cancer Center Hospital East, 6-5-1 Kashiwa no ha, Kashiwa City, Chiba, 277-8577, Japan.
Kohei HiroseDepartment of Urology, National Cancer Center Hospital East, 6-5-1 Kashiwa no ha, Kashiwa City, Chiba, 277-8577, Japan.
Madoka KataokaDepartment of Urology, National Cancer Center Hospital East, 6-5-1 Kashiwa no ha, Kashiwa City, Chiba, 277-8577, Japan.
Hitoshi MasudaDepartment of Urology, National Cancer Center Hospital East, 6-5-1 Kashiwa no ha, Kashiwa City, Chiba, 277-8577, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present the trial-and-error process of standardizing robot-assisted radical nephroureterectomy (RANU) at a high-volume center in Japan. Our urology team performed 53 RANU cases using the Da Vinci Xi system, undergoing five major evolutionary stages. We performed RANU via transperitoneal approach in all cases and lymph-node dissection in selected cases. During the evolution, we adopted a lithotomy position and significantly modified port placement to facilitate lower ureter management. However, we ultimately arrived at a method that minimizes port and patient repositioning during lower ureter processing. By strategically placing ProGrasp™ forceps in the most caudal port, we effectively retracted the bladder and grasped the opened bladder wall during lower ureter manipulation. This approach also allowed us to perform pelvic, para-aortic, and renal portal lymph-node dissection without major changes in patient positioning or port placement. Nevertheless, we acknowledge that some variations in positioning and techniques may be necessary depending on specific case requirements.

Indexed as

Lymph Node ExcisionNephroureterectomyRobotic Surgical ProceduresAgedFemaleHospitals, High-VolumeHumansJapanMaleMiddle AgedPatient PositioningPeritoneumUreterMinimally invasive surgical proceduresNephroureterectomyRobot-assisted surgerySurgical protocolsUrologic surgical procedures

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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.