Evidence map›Paper›PMID 42146846›Full record

ArticleIEEE journal of translational engineering in health and medicine2026

EasyVoid: A Handheld Coandă Effect Uroflowmeter for Accurate and Portable Measurement of Urinary Flow Dynamics.

Ray Chang, Yu-Chen Chen, Hao-Wei Chen, Ruei-Hong Zeng, Manu Prakash

Abstract read
In one paragraph

Article in IEEE journal of translational engineering in health and medicine, 2026. 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

5 authors.

Ray ChangDepartment of Mechanical EngineeringStanford University Stanford CA 94305 USA.ORCID 0000-0002-9502-3306
Yu-Chen ChenDepartment of UrologyKaohsiung Medical University Hospital, Kaohsiung Medical University Kaohsiung 80756 Taiwan.ORCID 0000-0002-2490-136X
Hao-Wei ChenDepartment of UrologyKaohsiung Medical University Hospital, Kaohsiung Medical University Kaohsiung 80756 Taiwan.ORCID 0000-0001-7924-8399
Ruei-Hong ZengKaohsiung Medical University Hospital Kaohsiung Taiwan.ORCID 0009-0007-9327-3911
Manu PrakashDepartment of BioengineeringStanford University Stanford CA 94305 USA.ORCID 0000-0002-8046-8388

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDiagnosis of lower urinary tract symptoms (LUTS) often relies on subjective questionnaires, conventional uroflowmetry or invasive urodynamic study, each with inherent limitations. METHODS AND PROCEDURES: This work presents EasyVoid, a novel handheld device that employs the Coandă effect to enable non-invasive and quantitative measurement of urinary flow. EasyVoid uses a passive fluidic mechanism in which the urinary stream adheres to a curved surface and transfers angular momentum to a helical rotor, allowing direct estimation of flow rate and volume without pressure sensors or weighing systems.

resultsEasyVoid simultaneously records key voiding parameters, including flow rate, flow pattern, voiding time, and voided volume, with high temporal precision. In controlled bench-top trials using simulated urine events, measurements obtained from EasyVoid showed strong agreement with standard uroflowmetry across multiple flow patterns.

conclusionThese results demonstrate the potential of EasyVoid for portable and quantitative assessment of urinary flow dynamics, offering a promising solution for remote urinary health monitoring.

Indexed as

FlowmetersRheologyUrinationUrodynamicsEquipment DesignHumansbladder healthCoandă effecthome monitoringportable designUroflowmetryurology

Identifiers

PMID42146846
PMCPMC13175600

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.