Evidence map›Paper›PMID 41049817›Full record

ArticleAsian journal of urology2025

Experimental evaluation of the optimum applied pressure and number of cuffs for artificial sphincter in fluid flow control in an

Pourya Shokri, Seyed Amir Mohsen Ziaee, Nasrin Borumandnia, Shahin Tabatabaei

Abstract read
In one paragraph

Article in Asian journal of urology, 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

4 authors.

Pourya ShokriUrology and Nephrology Research Center, Research Institute of Urology and Nephrology, Shahid Labbafinejad Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Seyed Amir Mohsen ZiaeeUrology and Nephrology Research Center, Research Institute of Urology and Nephrology, Shahid Labbafinejad Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Nasrin BorumandniaUrology and Nephrology Research Center, Research Institute of Urology and Nephrology, Shahid Labbafinejad Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shahin TabatabaeiTabaLife Clinic, Newton, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of this study was to find the optimal force that should be applied to control urine leakage using a non-hydraulic cuff design, and to investigate the relationship between the number of cuffs used in urinary control and the change in demand force. Method: In this study, five sheep bladders were used to design and build a biomechanical evaluation system. The biomechanical system included the bladder, pressure gauge, pressure regulator system of the bladder, and force application system by the cuff. In this study, we increased the fluid pressure inside the bladder from 0 cmH Results: The study revealed that a mean tensile force of 2.81 (standard deviation 0.23) N for a single cuff and 1.63 (standard deviation 0.16) N for double cuffs with symmetrical pressure effectively prevented bladder fluid leakage in the pressure range from 75 cmH Conclusion: Using double cuffs with symmetrical pressure had a greater effect compared with a single cuff with the same tensile force. Although multiple cuffs with varying tensile forces were not found to be useful in controlling urine leakage in this study, it is suggested that applying variable forces alternately and rotationally among several cuffs may reduce long-term risks such as atrophy and necrosis. Future

Indexed as

Artificial urinary sphincterCalibrationEx vivo studyUrethral cuff

Identifiers

PMID41049817
PMCPMC12490666

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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.