Evidence map›Paper›PMID 38962625›Full record

ArticleCureus2024

Robot-Assisted Partial Cystectomy Using the "Double Bipolar Method".

Shieru Hamasaki, Go Kaneko, Akira Yabuno, Yu Miyama, Shinnosuke Hiruta, Masayuki Hagiwara, Suguru Shirotake, Masanori Yasuda, Masafumi Oyama

Abstract readCase Reports
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

9 authors.

Shieru HamasakiUro-Oncology, Saitama Medical University International Medical Center, Hidaka, JPN.
Go KanekoUro-Oncology, Saitama Medical University International Medical Center, Hidaka, JPN.
Akira YabunoGynecologic Oncology, Saitama Medical University International Medical Center, Hidaka, JPN.
Yu MiyamaPathology, Saitama Medical University International Medical Center, Hidaka, JPN.
Shinnosuke HirutaUro-Oncology, Saitama Medical University International Medical Center, Hidaka, JPN.
Masayuki HagiwaraUro-Oncology, Saitama Medical University International Medical Center, Hidaka, JPN.
Suguru ShirotakeUro-Oncology, Saitama Medical University International Medical Center, Hidaka, JPN.
Masanori YasudaPathology, Saitama Medical University International Medical Center, Hidaka, JPN.
Masafumi OyamaUro-Oncology, Saitama Medical University International Medical Center, Hidaka, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The "double bipolar method" (DBM) in robotic surgery has been widely used in Japanese general surgery and gynecology; however, it is not commonly used in the field of urology. A 55-year-old female was diagnosed with stage IA endometrial cancer. A 2-cm cystic lesion was incidentally observed at the dome of the bladder on magnetic resonance imaging. A simultaneous robot-assisted total hysterectomy and partial cystectomy using the da Vinci Xi system was planned. The gynecological procedure was first performed with the DBM, and the DBM was also used in the partial cystectomy without additional instruments to reduce surgical costs. Maryland bipolar forceps was used to excise the peritoneum, fat, and bladder wall without bleeding, enabling delicate and precise resection using the forceps' tips. Robot-assisted partial cystectomy using the DBM was feasible. When performing combined surgeries with other departments, if the DBM is already being utilized, it is worthwhile to attempt to decrease surgical cost.

Indexed as

adult urachal cystda vinci robotdouble bipolar methodpartial cystectomyrobotrobot assisted surgeryrobot-assisted surgeryurachal remnant

Identifiers

PMID38962625
PMCPMC11221892

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.