Evidence map›Paper›PMID 39485578›Full record

ArticleJournal of robotic surgery2024

Learning curve of multiple surgeons for robot-assisted radical prostatectomy using the cumulative sum method: a retrospective single-institution study.

Takashi Nagai, Toshiki Etani, Nobuhiko Shimizu, Masakazu Gonda, Maria Aoki, Toshiharu Morikawa, Shoichiro Iwatsuki, Kazumi Taguchi, Taku Naiki, Kentaro Mizuno and 5 more

Abstract read
PubMed Publisher
In one paragraph

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. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Effects of Modifying Hinotori Surgical Robot System on the Learning Curve of Robot-Assisted Radical Prostatectomy.International journal of urology : official journal of the Japanese Urological Association · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
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

15 authors.

Takashi NagaiDepartment of Nephro-Urology, Nagoya City University Graduate School of Medical Sciences, Kawasumi 1, Mizuho-Cho, Mizuho-Ku, Nagoya, 4678601, Japan.ORCID http://orcid.org/0000-0002-9635-4553
Toshiki EtaniDepartment of Nephro-Urology, Nagoya City University Graduate School of Medical Sciences, Kawasumi 1, Mizuho-Cho, Mizuho-Ku, Nagoya, 4678601, Japan. uroetani@med.nagoya-cu.ac.jp.
Nobuhiko ShimizuDepartment of Nephro-Urology, Nagoya City University Graduate School of Medical Sciences, Kawasumi 1, Mizuho-Cho, Mizuho-Ku, Nagoya, 4678601, Japan.
Masakazu GondaDepartment of Urology, Nagoya City University Midori Municipal Hospital, Nagoya, Japan.
Maria AokiDepartment of Urology, Nagoya City University West Medical Center, Nagoya, Japan.
Toshiharu MorikawaDepartment of Urology, Komono Kosei Hospital, Komono-Cho, Japan.
Shoichiro IwatsukiDepartment of Nephro-Urology, Nagoya City University Graduate School of Medical Sciences, Kawasumi 1, Mizuho-Cho, Mizuho-Ku, Nagoya, 4678601, Japan.
Kazumi TaguchiDepartment of Urology, Nagoya City University East Medical Center, Nagoya, Japan.
Taku NaikiDepartment of Urology, Nagoya City University West Medical Center, Nagoya, Japan.
Kentaro MizunoDepartment of Nephro-Urology, Nagoya City University Graduate School of Medical Sciences, Kawasumi 1, Mizuho-Cho, Mizuho-Ku, Nagoya, 4678601, Japan.
Ryosuke AndoDepartment of Urology, Inabe General Hospital, Inabe, Japan.
Atsushi OkadaDepartment of Nephro-Urology, Nagoya City University Graduate School of Medical Sciences, Kawasumi 1, Mizuho-Cho, Mizuho-Ku, Nagoya, 4678601, Japan.
Noriyasu KawaiDepartment of Urology, Nagoya City University Midori Municipal Hospital, Nagoya, Japan.
Keiichi TozawaDepartment of Nephro-Urology, Nagoya City University Graduate School of Medical Sciences, Kawasumi 1, Mizuho-Cho, Mizuho-Ku, Nagoya, 4678601, Japan.
Takahiro YasuiDepartment of Nephro-Urology, Nagoya City University Graduate School of Medical Sciences, Kawasumi 1, Mizuho-Cho, Mizuho-Ku, Nagoya, 4678601, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PC) is common among men and has become a significant societal issue. Localized PC has a good prognosis with appropriate treatment. Prostatectomy, particularly robot-assisted radical prostatectomy (RARP), has become a common treatment since the da Vinci prostatectomy was approved by the FDA in 2001. The current study aimed to assess the learning curve for RARP, focusing on anastomosis time, using the cumulative sum (CUSUM) method. Data were collected from Nagoya City University Hospital between May 2011 and December 2018 and included 469 surgeries performed by experienced surgeons. Our findings indicated that, on average, 11 patients were required to complete the initial phase and 24 patients were required to complete the consolidation phase of anastomosis. Additionally, for complete resection of pT2c cases, 16 cases were required for the initial phase and 27 cases were required for the consolidation phase. The CUSUM method proved useful for visualizing trends in surgical proficiency, although the study noted potential confounding biases and limitations in evaluating surgical proficiency based solely on surgical time or positive surgical margins.

Indexed as

Learning CurveProstatectomyProstatic NeoplasmsRobotic Surgical ProceduresSurgeonsAgedAnastomosis, SurgicalClinical CompetenceHumansMaleMargins of ExcisionMiddle AgedOperative TimeRetrospective StudiesEducationLaparoscopic surgeryLearning curveProstate cancerRobot

Identifiers

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Textmetadata
Read underepoch 390

Registered trials

None linked

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.