Evidence map›Paper›PMID 30110353›Full record

ArticlePloS one2018

Automated quantification of low amplitude rhythmic contractions (LARC) during real-world urodynamics identifies a potential detrusor overactivity subgroup.

Zachary E Cullingsworth, Brooks B Kelly, Nicholas A Deebel, Andrew F Colhoun, Anna S Nagle, Adam P Klausner, John E Speich

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. 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
2.1field-weighted citation impact, top 14% 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, 18 citations in OpenAlex.

  1. Article
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  4. Review
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  8. Article
  9. New Diagnostics for Male Lower Urinary Tract Symptoms.Current bladder dysfunction reports · 2019
    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

7 authors at 1 institution in 1 country.

Zachary E CullingsworthDepartment of Mechanical and Nuclear Engineering, Virginia Commonwealth University School of Engineering, Richmond, Virginia, United States of America.ORCID 0000-0002-4087-9764
Brooks B KellyDepartment of Surgery/Division of Urology, Virginia Commonwealth University School of Medicine, Richmond, Virginia, United States of America.
Nicholas A DeebelDepartment of Surgery/Division of Urology, Virginia Commonwealth University School of Medicine, Richmond, Virginia, United States of America.
Andrew F ColhounDepartment of Surgery/Division of Urology, Virginia Commonwealth University School of Medicine, Richmond, Virginia, United States of America.
Anna S NagleDepartment of Mechanical and Nuclear Engineering, Virginia Commonwealth University School of Engineering, Richmond, Virginia, United States of America.
Adam P KlausnerDepartment of Surgery/Division of Urology, Virginia Commonwealth University School of Medicine, Richmond, Virginia, United States of America.
John E SpeichDepartment of Mechanical and Nuclear Engineering, Virginia Commonwealth University School of Engineering, Richmond, Virginia, United States of America.
Virginia Commonwealth University · US

Funding

The Detrusor Tension Sensor: A Model for Novel Cystometrics in Overactive BladderR01DK101719 · NIDDK · VIRGINIA COMMONWEALTH UNIVERSITY · PI KLAUSNER, ADAM PHILIP, SPEICH, JOHN E · 2015 to 2023
$2.4M
NIDDK NIH HHS R01 DK101719
6 · The paper itself

Abstract

objectivesDetrusor overactivity (DO) is characterized by non-voiding detrusor smooth muscle contractions during the bladder filling phase and often contributes to overactive bladder. In some patients DO is observed as isolated or sporadic contractions, while in others DO is manifested as low amplitude rhythmic contractions (LARC). The aim of this study was to develop an objective method to quantify LARC frequencies and amplitudes in urodynamic studies (UDS) and identify a subgroup DO of patients with LARC.

methodsAn automated Fast Fourier Transform (FFT) algorithm was developed to analyze a 205-second region of interest of retrospectively collected "real-world" UDS ending 30 seconds before voiding. The algorithm was designed to identify the three largest rhythmic amplitude peaks in vesical pressure (Pves) in the 1.75-6 cycle/minute frequency range. These peak Pves amplitudes were analyzed to determine whether they were 1) significant (above baseline Pves activity) and 2) independent (distinct from any in abdominal pressure (Pabd) rhythm).

results95 UDS met criteria for inclusion and were analyzed with the FFT algorithm. During a blinded visual analysis, a neurourologist/urodynamicist identified 52/95 (55%) patients as having DO. The FFT algorithm identified significant and independent (S&I) LARC in 14/52 (27%) patients with DO and 0/43 patients (0%) without DO, resulting in 100% specificity and a significant association (Fischer's exact test, p<0.0001). The average slowest S&I LARC frequency in this DO subgroup was 3.20±0.34 cycles/min with an amplitude of 8.40±1.30 cm-H2O. This algorithm can analyze individual UDS in under 5 seconds, allowing real-time interpretation.

conclusionsAn FFT algorithm can be applied to "real-world" UDS to automatically characterize the frequency and amplitude of underlying LARC. This algorithm identified a potential subgroup of DO patients with LARC.

Indexed as

AlgorithmsAnimalsFemaleHumansMaleMiddle AgedMuscle ContractionMuscle, SmoothRetrospective StudiesUrinary Bladder, OveractiveUrodynamics

Identifiers

PMID30110353
PMCPMC6093663
OpenAlexW2885325155

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.