Evidence map›Paper›PMID 37269483›Full record

Observational studyNeurourology and urodynamics2023

Development and validation of models predicting treatment patterns in women with urinary urgency and/or urgency incontinence: A Symptoms of Lower Urinary Tract Dysfunction Research Network observational cohort study.

Carol Emi Bretschneider, Qian Liu, Abigail R Smith, Sarah A Mansfield, Ziya Kirkali, Cindy L Amundsen, Hing Hung Henry Lai, Julia Geynisman-Tan, Anna Kirby, John Eric Jelovsek and 1 more

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Neurourology and urodynamics, 2023. 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
0.5field-weighted citation impact, top 33% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

11 authors at 6 institutions in 1 country.

Carol Emi BretschneiderUrogynecology and Reconstructive Surgery, Northwestern University, Chicago, Illinois, US.
Qian LiuArbor Research Collaborative for Health, Ann Arbor, Michigan, US.
Abigail R SmithArbor Research Collaborative for Health, Ann Arbor, Michigan, US.
Sarah A MansfieldArbor Research Collaborative for Health, Ann Arbor, Michigan, US.
Ziya KirkaliNational Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), D of Kidney, Urologic, & Hematologic Diseases, Bethesda, Maryland, US.
Cindy L AmundsenDepartment of Obstetrics and Gynecology, Division of Urogynecology, Duke University, Durham, North Carolina, US.
Hing Hung Henry LaiDepartments of Surgery and Anesthesiology, Division of Urologic Surgery, Washington University in St. Louis, St. Louis, Missouri, US.
Julia Geynisman-TanUrogynecology and Reconstructive Surgery, Northwestern University, Chicago, Illinois, US.ORCID 0000-0002-9225-6067
Anna KirbyObstetrics, Gynecology, & Pelvic Medicine, University of Washington, Seattle, Washington, US.
John Eric JelovsekDepartment of Obstetrics and Gynecology, Division of Urogynecology, Duke University, Durham, North Carolina, US.ORCID 0000-0002-7196-817X
Symptoms of Lower Urinary Tract Dysfunction Research Network (LURN) Study Group
Arbor Research Collaborative for Health · USDuke University · USNorthwestern University · USNational Institute of Diabetes and Digestive and Kidney Diseases · USUniversity of Washington · USWashington University in St. Louis · US

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Continuation of the Symptoms of Lower Urinary Tract Dysfunction Research Network (LURN) Data Coordinating CenterU24DK099879 · NIDDK · ARBOR RESEARCH COLLABORATIVE FOR HEALTH · PI GRAFF, JOHN JOSEPH · 2019 to 2025
$6.9M
Phenotype of urinary symptoms and relationships with genotype, sleep and obesityU01DK097779 · NIDDK · UNIVERSITY OF CHICAGO · PI GRIFFITH, JAMES WILLIAM, KENTON, KIMBERLY SUE · 2012 to 2025
$5.7M
Advancing the Measurement and Classification of Lower Urinary Tract DysfunctionU01DK097780 · NIDDK · DUKE UNIVERSITY · PI AMUNDSEN, CINDY, JELOVSEK, JOHN ERIC · 2012 to 2025
$5.3M
University of Iowa LURN Research SiteU01DK097772 · NIDDK · UNIVERSITY OF IOWA · PI BRADLEY, CATHERINE S, KREDER, KARL J · 2012 to 2025
$5.0M
Expansion of Symptoms of Lower Urinary Tract Dysfunction Research Network (LURN)U01DK099879 · NIDDK · ARBOR RESEARCH COLLABORATIVE FOR HEALTH · PI MERION, ROBERT M · 2013 to 2018
$4.6M
University of Washington LURN Research SiteU01DK100011 · NIDDK · UNIVERSITY OF WASHINGTON · PI YANG, CLAIRE C · 2013 to 2025
$4.5M
University of Michigan LURN Research SiteU01DK099932 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CLEMENS, J. QUENTIN · 2013 to 2023
$4.4M
Symptoms of Lower Urinary Tract Dysfunction Research Network (LURN) Second Phase StudyU01DK100017 · NIDDK · WASHINGTON UNIVERSITY · PI LAI, HING HUNG HENRY · 2013 to 2025
$3.9M
NCATS NIH HHS UL1 TR001422NIDDK NIH HHS U01 DK097772NIDDK NIH HHS U01 DK097779NIDDK NIH HHS U01 DK097780NIDDK NIH HHS U01 DK099879NIDDK NIH HHS U01 DK099932NIDDK NIH HHS U01 DK100011NIDDK NIH HHS U01 DK100017NIDDK NIH HHS U24 DK099879
6 · The paper itself

Abstract

purposeTo develop a tool to predict a woman's treatment pattern for bothersome urinary urgency (UU) and/or UU incontinence over 1 year after presenting for care at urology or urogynecology clinics.

methodsThe Symptoms of Lower Urinary Tract Dysfunction Research Network observational cohort study enrolled adult women with bothersome UU and/or UU incontinence using the lower urinary tract symptoms (LUTS) Tool who were seeking care for LUTS. Treatments for UU and/or urgency incontinence were ordered from least to most invasive. Ordinal logistic and Cox proportional hazard regression models were fit to predict the most invasive level of treatment during follow-up and overactive bladder (OAB) medication discontinuation, respectively. Binary logistic regression was performed to predict sling treatment during the study follow-up. Clinical tools were then created using the models listed above to predict treatment pattern over 12 months.

resultsAmong 349 women, 281 reported UU incontinence, and 68 reported UU at baseline. The highest level of treatment during the study was as follows: 20% no treatment, 24% behavioral treatments, 23% physical therapy, 26% OAB medication, 1% percutaneous tibial nerve stimulation, 3% onabotulinumtoxin A, and 3% sacral neuromodulation. Slings were placed in 10% (n = 36) of participants before baseline and in 11% (n = 40) during study follow-up. Baseline factors associated with predicting the most invasive level of treatment included baseline level of treatment, hypertension, UU incontinence severity, stress urinary incontinence (SUI) severity, and anticholinergic burden score. Less severe baseline depression and less severe UU incontinence were associated with OAB medication discontinuation. UU and SUI severity were associated with sling placement during the study period. Three tools are available to predict: (1) highest level of treatment; (2) OAB medication discontinuation; and (3) sling placement.

conclusionsOAB treatment prediction tools developed in this study can help providers individualize treatment plans and identify not only patients at risk for treatment discontinuation but also patients who may not be escalated to potentially beneficial OAB treatments, with the goal to improve clinical outcomes for patients suffering from this chronic and often debilitating condition.

Indexed as

Lower Urinary Tract SymptomsUrinary Bladder, OveractiveUrinary Incontinence, StressUrinary TractAdultCohort StudiesFemaleHumansoveractive bladdertreatmenturgency urinary incontinenceurinary urgency

Identifiers

PMID37269483
PMCPMC10581676
OpenAlexW4379259184

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.