Evidence map›Paper›PMID 38978215›Full record

ArticleInvestigative and clinical urology2024

Verification of surgical factors affecting the efficiency of stone extraction with one-surgeon basketing technique using a f-URSL simulation model.

Ryusuke Deguchi, Shimpei Yamashita, Yuya Iwahashi, Hiroki Kawabata, Satoshi Muraoka, Takahito Wakamiya, Yasuo Kohjimoto, Isao Hara

Abstract read
In one paragraph

Article in Investigative and clinical urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Ryusuke DeguchiDepartment of Urology, Wakayama Medical University, Wakayama, Japan.ORCID 0000-0001-9573-8371
Shimpei YamashitaDepartment of Urology, Wakayama Medical University, Wakayama, Japan. keito608@wakayama-med.ac.jp.ORCID 0000-0001-7402-6164
Yuya IwahashiDepartment of Urology, Wakayama Medical University, Wakayama, Japan.ORCID 0000-0002-4201-1985
Hiroki KawabataDepartment of Urology, Wakayama Medical University, Wakayama, Japan.ORCID 0009-0001-1160-362X
Satoshi MuraokaDepartment of Urology, Wakayama Medical University, Wakayama, Japan.ORCID 0009-0002-4312-1147
Takahito WakamiyaDepartment of Urology, Wakayama Medical University, Wakayama, Japan.ORCID 0000-0001-9101-1749
Yasuo KohjimotoDepartment of Urology, Wakayama Medical University, Wakayama, Japan.ORCID 0000-0001-6103-6320
Isao HaraDepartment of Urology, Wakayama Medical University, Wakayama, Japan.ORCID 0000-0003-4542-4045

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeStone extraction is an important treatment option when performing flexible ureteroscopic lithotripsy (f-URSL) for upper urinary stones. We used a f-URSL simulator model to investigate surgical factors affecting the efficacy of stone extraction with the one-surgeon basketing technique. MATERIALS AND

methodsThis simulator-based study involved eight urologists and eight residents. These participants each performed two tasks, with Flexor (Cook Medical) and Navigator (Boston Scientific) ureteral access sheaths, with and without the M-arm (MC Medical) single-use basket holder, and with models representing both left and right kidneys. The two tasks were to touch each renal calix with the ureteroscope, and to extract stones. As outcomes, we recorded the number of times that the ureteroscope became stuck during insertion, the number of times a stone was dropped during removal, the number of times the basket forceps were opened and closed, and the time required to accomplish each task.

resultsThe ureteroscope became stuck significantly more often when Navigator was used compared with Flexor overall, and for both urologists and residents (all p<0.01). Stones were dropped significantly more often on the ipsilateral side (kidney on the same side as the operator's hand) than on the contralateral side overall (p=0.01), and the basket forceps were opened and closed significantly more often on the ipsilateral side than on the contralateral side both overall and by residents (all p<0.01).

conclusionsThe efficiency of stone extraction during f-URSL with the one-surgeon basketing technique was affected by differences in ureteral access sheath and the kidney side.

Indexed as

LithotripsyUreteroscopyClinical CompetenceHumansKidney CalculiModels, AnatomicSimulation TrainingUreteroscopesSimulation trainingUreteroscopyUrinary stone

Identifiers

PMID38978215
PMCPMC11231662

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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.