Evidence map›Paper›PMID 33175862›Full record

ArticlePloS one2020

Novel measurement tool and model for aberrant urinary stream in 3D printed urethras derived from human tissue.

Andrew J Cohen, German Patino, Mehran Mirramezani, Sudarshan Srirangapatanam, Anas Tresh, Bhagat Cheema, Jenny Tai, Dylan Romero, Anthony Enriquez, Laurence S Baskin and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 34% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
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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

12 authors at 4 institutions in 2 countries.

Andrew J CohenBrady Urological Institute, Johns Hopkins Bayview Medical Center, Baltimore, MD, United States of America.
German PatinoHospital Universitario San Ignacio, Bogota, Colombia, United States of America.
Mehran MirramezaniUniversity of California, Berkeley, Department of Mechanical Engineering, Berkeley, CA, United States of America.
Sudarshan SrirangapatanamDepartment of Urology, University of California San Francisco, San Francisco, CA, United States of America.ORCID 0000-0002-9179-3573
Anas TreshDepartment of Urology, University of California San Francisco, San Francisco, CA, United States of America.
Bhagat CheemaDepartment of Urology, University of California San Francisco, San Francisco, CA, United States of America.
Jenny TaiMakers Lab Library, University of California San Francisco, San Francisco, CA, United States of America.
Dylan RomeroMakers Lab Library, University of California San Francisco, San Francisco, CA, United States of America.
Anthony EnriquezDepartment of Urology, University of California San Francisco, San Francisco, CA, United States of America.ORCID 0000-0002-0638-4100
Laurence S BaskinDepartment of Urology, University of California San Francisco, San Francisco, CA, United States of America.
Shawn C ShaddenUniversity of California, Berkeley, Department of Mechanical Engineering, Berkeley, CA, United States of America.
Benjamin N BreyerDepartment of Urology, University of California San Francisco, San Francisco, CA, United States of America.
University of California, San Francisco · USUniversity of California, Berkeley · USHospital Universitario San Ignacio · COJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn estimated 10% of male adults have split or dribbled stream leading to poor hygiene, embarrassment, and inconvenience. There is no current metric that measures male stream deviation.

objectiveTo develop a novel method to measure spray in normal and abnormal anatomical conformations. DESIGN, SETTING, AND

participantsWe developed a novel platform to reliably describe spray. We used cadaveric tissues and 3D Printed models to study the impact of meatal shape on the urinary stream. Cadaveric penile tissue and 3D printed models were affixed to a fluid pump and used to simulate micturition. Dye captured on fabric allowed for spray detection. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Spray pattern area, deviation from normal location, and flowrates were recorded. Computational fluid dynamic models were created to study fluid vorticity. RESULTS AND LIMITATIONS: Obstructions at the penile tip worsened spray dynamics and reduced flow. Ventral meatotomy improved flowrate (p<0.05) and reduced spray (p<0.05) compared to tips obstructed ventrally, dorsally or in the fossa navicularis. 3D models do not fully reproduce parameters of their parent cadaver material. The average flowrate from 3D model was 10ml/sec less than that of the penis from which it was derived (p = 0.03). Nonetheless, as in cadavers, increasing obstruction in 3D models leads to the same pattern of reduced flowrate and worse spray. Dynamic modeling revealed increasing distal obstruction was correlated to higher relative vorticity observed at the urethral tip.

conclusionsWe developed a robust method to measure urine spray in a research setting. Dynamic 3D printed models hold promise as a methodology to study common pathologies in the urethra and corrective surgeries on the urine stream that would not be feasible in patients. These novel methods require further validation, but offer promise as a research and clinical tool.

Indexed as

Models, BiologicalPrinting, Three-DimensionalCadaverHumansHydrodynamicsUrethraUrination

Identifiers

PMID33175862
PMCPMC7657556
OpenAlexW3105289772

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.