Evidence map›Paper›PMID 39046550›Full record

ArticleWorld journal of urology2024

Novel anti-reflux ureteral skirt: proof of concept in a Yorkshire-Landrace pig model.

Yadong Lu, Jeremy Y J Tay, Kheng Sit Lim, Lay Guat Ng

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Article in World journal of 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

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

1 citing paper in PubMed.

  1. 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

4 authors.

Yadong LuDepartment of Urology, Singapore General Hospital, Singapore, 169608, Singapore. yadong.lu@yahoo.com.ORCID http://orcid.org/0000-0001-8695-9834
Jeremy Y J TayDepartment of Urology, Singapore General Hospital, Singapore, 169608, Singapore.
Kheng Sit LimDepartment of Urology, Singapore General Hospital, Singapore, 169608, Singapore.
Lay Guat NgDepartment of Urology, Singapore General Hospital, Singapore, 169608, Singapore.

Funding

SingHealth SIG-02-2021
6 · The paper itself

Abstract

introductionStents with anti-reflux properties have been previously described in various studies but not widely adopted. We designed, constructed and tested a novel umbrella-looking anti-reflux skirt on a double J stent at the level of the ureteral orifice in a previous ex-vivo study. This study serves as a proof of concept of testing this prototype in a porcine model.

methods3 Yorkshire-Landrace pigs were put under general anaesthesia. Conventional bilateral retrograde stenting with white-colored double-J stents were performed. Deployment of anti-reflux skirt was performed unilaterally. Capsaicin mixed with methylene blue and saline were instilled in the bladder. Both stents were removed and methylene blue stain were inspected to assess the level of reflux. Bilateral stenting was performed again and stents/skirt prototype were left in-situ for 1 week. The procedure was repeated on Day 7 to re-test the anti-reflux property of the prototype after ureteral dilatation.

resultsIntraluminal reflux was evident, with methylene blue stain seen on the inner surface of the stents. Extraluminal reflux was proved with blue stain seen on the outer surface of the stents, both in undilated and dilated ureters. Study also proved the anti-reflux property of the skirt as the blue stain didn't go beyond the skirt, whereas the contralateral stent was stained up to proximal ureter.

conclusionIn this porcine in-vivo study, we elucidated that reflux occurred were both intraluminal and extraluminally. As a proof of concept, it also showed the anti-reflux property of a novel ureteral skirt.

Indexed as

Proof of Concept StudyProsthesis DesignStentsUreterVesico-Ureteral RefluxAnimalsDisease Models, AnimalSus scrofaSwineAnti-refluxExtraluminalStentVesicoureteral reflux

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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.