Evidence map›Paper›PMID 40799891›Full record

ArticleCureus2025

Extraperitoneal Single-Port Robot-Assisted Radical Prostatectomy for a Massive Prostate: A Case Report.

Hiroki Ishikawa, Masaru Ishida, Tadatsugu Anno, Tansei Sanjo, Masashi Arai

Abstract readCase Reports
In one paragraph

Article in Cureus, 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

5 authors.

Hiroki IshikawaUrology, Saiseikai Yokohamashi Tobu Hospital, Yokohama, JPN.
Masaru IshidaUrology, Saiseikai Yokohamashi Tobu Hospital, Yokohama, JPN.
Tadatsugu AnnoUrology, Saiseikai Yokohamashi Tobu Hospital, Yokohama, JPN.
Tansei SanjoUrology, Saiseikai Yokohamashi Tobu Hospital, Yokohama, JPN.
Masashi AraiUrology, Saiseikai Yokohamashi Tobu Hospital, Yokohama, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extraperitoneal single-port robot-assisted radical prostatectomy (SP-RARP) using the da Vinci SP system (Intuitive Surgical, Sunnyvale, CA, US) offers a less invasive alternative to multi-port RARP. However, a significant limitation is the system's reduced instrument force, which makes retraction and manipulation of large, heavy organs particularly challenging. As a result, SP-RARP for prostates over 100 g has been considered difficult and is rarely reported. This case highlights the feasibility of extraperitoneal SP-RARP in a patient with a massive prostate by addressing and overcoming this technical limitation. We report the case of a 77-year-old man with bilateral ureteral stones, significant prostatic hypertrophy, and prostate adenocarcinoma (Gleason score 3+3), who underwent extraperitoneal SP-RARP due to urinary retention. The operation lasted 4 hours and 40 minutes, with an estimated blood loss of 450 mL through a 4.5 cm sub-umbilical incision. The prostate weighed 143 g. No intraoperative complications occurred, and the postoperative course was uneventful. SP-RARP for massive prostates (>100 g) remains technically challenging due to the limited retraction force of the single-port system, and successful extraperitoneal cases have not been previously documented. This report demonstrates that, with proper technique, extraperitoneal SP-RARP can be safely and effectively performed even in cases involving significantly enlarged prostates. These findings support the potential expansion of SP-RARP indications in select high-volume cases.

Indexed as

da vinci surgical systemprostate cancerrobotic-assisted surgeryrobotic prostatectomysingle-port robotic-assisted surgeries

Identifiers

PMID40799891
PMCPMC12341015

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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.