Evidence map›Paper›PMID 42484052›Full record

ArticleInternational journal of urology : official journal of the Japanese Urological Association2026

Effects of Modifying Hinotori Surgical Robot System on the Learning Curve of Robot-Assisted Radical Prostatectomy.

Yoshie Mita, Jun Teishima, Hideto Ueki, Naoto Wakita, Yasuyoshi Okamura, Kotaro Suzuki, Yukari Bando, Takuto Hara, Tomoaki Terakawa, Koji Chiba and 1 more

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Article in International journal of urology : official journal of the Japanese Urological Association, 2026. 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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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

11 authors.

Yoshie MitaDivision of Urology, Department of Surgery, Kobe University, Graduate School of Medicine, Kobe, Japan.
Jun TeishimaDivision of Urology, Department of Surgery, Kobe University, Graduate School of Medicine, Kobe, Japan.ORCID https://orcid.org/0009-0004-7018-5095
Hideto UekiDivision of Urology, Department of Surgery, Kobe University, Graduate School of Medicine, Kobe, Japan.ORCID https://orcid.org/0000-0002-7742-4528
Naoto WakitaDivision of Urology, Department of Surgery, Kobe University, Graduate School of Medicine, Kobe, Japan.
Yasuyoshi OkamuraDivision of Urology, Department of Surgery, Kobe University, Graduate School of Medicine, Kobe, Japan.
Kotaro SuzukiDivision of Urology, Department of Surgery, Kobe University, Graduate School of Medicine, Kobe, Japan.ORCID https://orcid.org/0000-0003-4589-9251
Yukari BandoDivision of Urology, Department of Surgery, Kobe University, Graduate School of Medicine, Kobe, Japan.
Takuto HaraDivision of Urology, Department of Surgery, Kobe University, Graduate School of Medicine, Kobe, Japan.ORCID https://orcid.org/0000-0003-4524-2815
Tomoaki TerakawaDivision of Urology, Department of Surgery, Kobe University, Graduate School of Medicine, Kobe, Japan.ORCID https://orcid.org/0000-0002-4447-6516
Koji ChibaDivision of Urology, Department of Surgery, Kobe University, Graduate School of Medicine, Kobe, Japan.
Hideaki MiyakeDivision of Urology, Department of Surgery, Kobe University, Graduate School of Medicine, Kobe, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe hinotori Surgical Robot System (HSRS) is the first surgical robotic system developed in Japan and has recently become more widely used worldwide. A key advantage of HSRS is that it can be modified without changing the platform model itself. This study aimed to determine the effect of HSRS modification on the learning curve for robotic-assisted radical prostatectomy (RARP).

methodsBetween December 2020 and February 2025, 482 RARP procedures using HSRS were performed by 21 cockpit surgeons. Among these, 320 cases performed by 16 surgeons at our hospital and affiliated institutions were analyzed. According to the timing of HSRS modification, cases were divided into two groups: Group A (before modification) and Group B (after the latest modification, including reduced arm floating sensation, fewer emergency stops due to arm collision, and addition of a hand-switch clutch function). The K-value, defined as the slope of the linear regression line for chronological changes in cockpit time excluding lymph node dissection (LND), was calculated and compared between groups.

resultsOf the 320 cases (median age 70 years, range 45-81), 143 were in Group A and 177 in Group B. The median K-value in Group B (-0.27495; range -1.7421 to 0.1002) was significantly better than in Group A (0.0691; range -0.237 to 5.3544; p = 0.0277). In Group B, cockpit time excluding LND decreased with experience, and K-values were not associated with prior case number (p = 0.5018).

conclusionsHSRS modification was associated with a more favorable learning curve for cockpit time in RARP.

Indexed as

Learning CurveProstatectomyProstatic NeoplasmsRobotic Surgical ProceduresAgedAged, 80 and overEquipment DesignHumansJapanMaleMiddle AgedOperative TimeRetrospective Studieshinotori Surgical Robot Systemlearning curverobot‐assisted radical prostatectomysoftware modification

Identifiers

PMID42484052
PMCPMC13390307

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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.