Evidence map›Paper›PMID 34129465›Full record

ArticleThe Canadian journal of urology2021

Overactive bladder phenotypes: development and preliminary data.

Jerry G Blaivas, Eric S W Li, Linda Dayan, Max E Edeson, Joel Mathew, Amy L O'Boyle, Beede L Amare, David C Chaikin, Jeffrey P Weiss, Karl J Kreder

Abstract readMulticenter Study
PubMed
In one paragraph

Article in The Canadian journal of urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Mobile health may improve evaluation of lower urinary tract symptoms.International braz j urol : official journal of the Brazilian Society of Urology
    Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Jerry G BlaivasIcahn School of Medicine at Mount Sinai, New York, New York, USA.
Eric S W Li
Linda Dayan
Max E Edeson
Joel Mathew
Amy L O'Boyle
Beede L Amare
David C Chaikin
Jeffrey P Weiss
Karl J Kreder

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe purpose of this study is to develop overactive bladder (OAB) phenotypes that can be used to develop diagnostic and treatment pathways and offer clues to the underlying etiologies of patients with OAB. MATERIALS AND

methodsThis is a retrospective, multicenter study of patients with lower urinary tract symptoms (LUTS). Evaluation included a 24-hour bladder diary (24HBD), the lower urinary tract symptoms score (LUTSS) questionnaire, uroflowmetry (Q), and post-void residual urine (PVR) measurement. Patients completed the 24HBD and LUTSS on a smartphone application or paper. Those with an OAB symptom sub-score (OABSS) ≥ 8 were included. An expert panel developed a phenotype classification system based on variables considered to be important for treatment.

resultsThe following variables were selected for inclusion in the phenotype modeling: 24-hour voided volume (24HV), maximum voided volume (MVV), Qmax and PVR. Subjects were divided into three phenotypes based on the 24HV: polyuria (24HV > 2.5 L), normal (24 HV 1-2.5 L), and oliguria (24HV < 1 L). Each phenotype was subdivided based on MVV, Qmax & PVR, resulting in 18 sub-types. Five hundred thirty-three patients, 348 men and 185 women, completed the LUTSS and 24HBD. OAB was present in 399 (75%) - 261 men and 138 women. The prevalence of the primary phenotypes was polyuria (25%), normal (63%), and oliguria (11%).

conclusionsClassification of OAB variants into phenotypes based on 24HV, MVV, Qmax, and PVR provides the substrate for further research into the diagnosis, etiology, treatment outcomes and development of granular diagnostic and treatment algorithms.

Indexed as

Lower Urinary Tract SymptomsUrinary Bladder, OveractiveFemaleHumansMalePhenotypePreliminary DataRetrospective Studies

Identifiers

PMID34129465

What OpenQuestion holds

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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.