Evidence map›Paper›PMID 35464652›Full record

ArticleTherapeutic advances in urology

Development of a prediction model in female pure or predominant urge urinary incontinence: a retrospective cohort study.

Tess van Doorn, Sarah H M Reuvers, Monique J Roobol, Sebastiaan Remmers, Jan F M Verbeek, Jeroen R Scheepe, Josien H Wolterbeek, Deric K E van der Schoot, Daan Nieboer, Lisette A 't Hoen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Therapeutic advances in urology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

11 authors at 4 institutions in 1 country.

Tess van DoornDepartment of Urology, Erasmus MC, Wytemaweg 80, Room Na 1524, 3015 CN Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0003-1034-0263
Sarah H M ReuversDepartment of Urology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, The Netherlands.
Monique J RoobolDepartment of Urology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, The Netherlands.
Sebastiaan RemmersDepartment of Urology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, The Netherlands.
Jan F M VerbeekDepartment of Urology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, The Netherlands.
Jeroen R ScheepeDepartment of Urology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, The Netherlands.
Josien H WolterbeekDepartment of Urology, Franciscus Gasthuis & Vlietland, Rotterdam, The Netherlands.
Deric K E van der SchootDepartment of Urology, Amphia Hospital, Breda, The Netherlands.
Daan NieboerDepartment of Urology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, The NetherlandsDepartment of Public Health, Erasmus MC, Rotterdam, the Netherlands.
Lisette A 't HoenDepartment of Urology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, The Netherlands.
Bertil F M BlokDepartment of Urology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, The Netherlands.
Erasmus MC Cancer Institute · NLAmphia Ziekenhuis · NLErasmus MC · NLSint Franciscus Gasthuis · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Urinary incontinence is a prevalent form of pelvic floor dysfunction, with a non-negligible impact on a patient's quality of life. There are several treatment options, varying from conservative to invasive. The aim of this study is to predict treatment outcomes of pure or predominant urge urinary incontinence (UUI) in women to support shared decision-making and manage patient expectations. Methods: Data on patient characteristics, disease history, and investigations of 512 consecutive women treated for UUI in three hospitals in the Netherlands were retrospectively collected. The predicted outcome was the short-term subjective continence outcome, defined as patient-reported continence 3 months after treatment categorized as cure (no urinary leakage), improvement (any degree of improvement of urinary leakage), and failure (no improvement or worsening of urinary leakage). Multivariable ordinal regression with backward stepwise selection was performed to analyze association between outcome and patient's characteristics. Interactions between patient characteristics and treatment were added to estimate individual treatment benefit. Discriminative ability was assessed with the ordinal c-statistic. Results: Conservative treatment was applied in 12% of the patients, pharmacological in 62%, and invasive in 26%. Subjective continence outcome was cure, improvement, and failure in 20%, 49%, and 31%, respectively. Number of incontinence episodes per day, voiding frequency during the day, subjective quantity of UI, coexistence of stress urinary incontinence (SUI), night incontinence, and bladder capacity and the interactions between these variables were included in the model. After internal validation, the ordinal c-statistic was 0.699. Conclusions: Six variables were of value to predict pure or predominant UUI treatment outcome in women. Further development into a comprehensive set of models for the use in various pelvic floor disorders and treatments is recommended to optimize individualized care. This model requires external validation before implementation in clinical practice.

Indexed as

pelvic floor disordersprediction modeltreatment outcomeurinary incontinenceurinary urge incontinence

Identifiers

PMID35464652
PMCPMC9024161
OpenAlexW4224864789

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.