Evidence map›Paper›PMID 37132028›Full record

ArticleProceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine2024

Automated closed-loop stimulation to inhibit neurogenic bladder overactivity.

Steve Majerus, Carvell Nguyen, Steven Brose, Gregory Nemunaitis, Margot Damaser, Dennis J Bourbeau

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

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  9. Optimization of activity-driven event detection for long-term ambulatory urodynamics.Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine · 2024
    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

6 authors at 5 institutions in 1 country.

Steve MajerusAdvanced Platform Technology Center, Louis Stokes Cleveland VA Medical Center, Cleveland, OH, USA.
Carvell NguyenDivision of Urology, MetroHealth Medical Center, Cleveland, OH, USA.
Steven BroseCleveland FES Center, Syracuse VA Medical Center, Syracuse, NY, USA.
Gregory NemunaitisPhysical Medicine and Rehabilitation, Cleveland Clinic, Cleveland, OH, USA.
Margot DamaserAdvanced Platform Technology Center, Louis Stokes Cleveland VA Medical Center, Cleveland, OH, USA.
Dennis J BourbeauCleveland FES Center, Louis Stokes Cleveland Department of Veterans Affairs Medical Center, Physical Medicine and Rehabilitation, MetroHealth Medical Center, Cleveland, OH, USA.ORCID 0000-0003-1348-4713
Cleveland Clinic Lerner College of Medicine · USCleveland Clinic · USCleveland FES Center · USMetroHealth · USSUNY Upstate Medical University · US

Funding

Triggered sacral neuromodulation to treat neurogenic detrusor overactivity based on algorithmic classification of bladder filling status from wireless pressure data.I01RX003687 · VA · LOUIS STOKES CLEVELAND VA MEDICAL CENTER · PI MAJERUS, STEVE · 2022 to 2025
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RRD VA I01 RX003687RRD VA IK6 RX003843
6 · The paper itself

Abstract

Individuals with spinal cord injury (SCI) usually develop neurogenic detrusor overactivity (NDO), resulting in bladder urgency and incontinence, and reduced quality of life. Electrical stimulation of the genital nerves (GNS) can inhibit uncontrolled bladder contractions in individuals with SCI. An automated closed-loop bladder neuromodulation system currently does not exist but could improve this approach. We have developed a custom algorithm to identify bladder contractions and trigger stimulation from bladder pressure data without need for abdominal pressure measurement. The goal of this pilot study was to test the feasibility of automated closed-loop GNS using our custom algorithm to identify and inhibit reflex bladder contractions in real time. Experiments were conducted in a single session in a urodynamics laboratory in four individuals with SCI and NDO. Each participant completed standard cystometrograms without and with GNS. Our custom algorithm monitored bladder vesical pressure and controlled when GNS was turned on and off. The custom algorithm detected bladder contractions in real time, successfully inhibiting a total of 56 contractions across all four subjects. There were eight false positives, six of those occurring in one subject. It took approximately 4.0 ± 2.6 s for the algorithm to detect the onset of a bladder contraction and trigger stimulation. The algorithm maintained stimulation for approximately 3.5 ± 1.7 s, which was enough to inhibit activity and relieve feelings of urgency. Automated closed-loop stimulation was well-tolerated and subjects reported that algorithm decisions generally matched with their perceptions of bladder activity. The custom algorithm automatically, successfully identified bladder contractions to trigger stimulation to inhibit bladder contractions acutely. Closed-loop neuromodulation using our custom algorithm is feasible, but further testing is needed refine this approach for use in a home environment.

Indexed as

AlgorithmsUrinary Bladder, NeurogenicUrinary Bladder, OveractiveAdultAutomationElectric Stimulation TherapyFemaleHumansMaleMiddle AgedMuscle ContractionSpinal Cord InjuriesUrinary BladderalgorithmBiomedical devicesbladderclosed-loop controlneuromodulationsensors/sensor applicationsspinal cord injury

Identifiers

PMID37132028
PMCPMC11650801
OpenAlexW4367834898

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.