Evidence map›Paper›PMID 38937257›Full record

ArticleAmerican journal of obstetrics and gynecology2024

Urinary microbiome community types associated with urinary incontinence severity in women.

Megan U Carnes, Nazema Y Siddiqui, Lisa Karstens, Marie G Gantz, Darrell L Dinwiddie, Vivian W Sung, Megan Bradley, Linda Brubaker, Cecile A Ferrando, Donna Mazloomdoost and 5 more

Abstract read
In one paragraph

Article in American journal of obstetrics and gynecology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Observational
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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

15 authors.

Megan U CarnesSocial, Statistical, and Environmental Sciences, RTI International, Research Triangle Park, NC. Electronic address: mcarnes@rti.org.
Nazema Y SiddiquiDivision of Urogynecology and Reconstructive Pelvic Surgery, Department of Obstetrics and Gynecology, Duke University, Durham, NC.
Lisa KarstensDivision of Bioinformatics and Computational Biomedicine; Division of Urogynecology, Oregon Health & Science University, Portland, OR.
Marie G GantzSocial, Statistical, and Environmental Sciences, RTI International, Research Triangle Park, NC.
Darrell L DinwiddieDivision of Genetics, Department of Pediatrics, University of New Mexico Health Sciences Center, Albuquerque, NM.
Vivian W SungDivision of Urogynecology, Department of Obstetrics and Gynecology, Warren Alpert Medical School of Brown University, Providence, RI.
Megan BradleyDivision of Urogynecology, Department of Obstetrics and Gynecology, University of Pittsburgh, Pittsburgh, PA.
Linda BrubakerDivision of Female Pelvic Medicine and Reconstructive Surgery, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, San Diego, CA.
Cecile A FerrandoCenter for Urogynecology and Pelvic Reconstructive Surgery, Women's Health Institute, Cleveland Clinic, Cleveland, OH.
Donna MazloomdoostEunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD.
Holly E RichterDivision of Urogynecology and Reconstructive Pelvic Surgery, Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, AL.
Rebecca G RogersDivision of Urology, Department of Obstetrics and Gynecology, Albany Medical Center, Albany, NY.
Ariana L SmithDivision of Urology, Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Yuko M KomesuDivision of Urogynecology, Department of Obstetrics and Gynecology, University of New Mexico Health Sciences and Services Building, Albuquerque, NM.
Eunice Kennedy Shriver National Institute of Child Health and Human Development Pelvic Floor Disorders Network

Funding

Oregon Clinical and Translational Research Institute - The National COVID Cohort Collaborative (N3C)UL1TR002369 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI Cynthia D Morris, Christopher G. Slatore · 2017 to 2026
$78.4M
Pelvic Floor Disorders Network Data Coordinating Center Administrative Supplement: ODSS CDE FundingU24HD069031 · NICHD · RESEARCH TRIANGLE INSTITUTE · PI MARIE G GANTZ · 2016 to 2026
$35.8M
Pelvic Floor Disorders Network Data Coordinating Center (U01)U01HD069031 · NICHD · RESEARCH TRIANGLE INSTITUTE · PI GANTZ, MARIE G · 2011 to 2015
$19.7M
Perioperative Pelvic Floor Rehab: A Rrandomized TrialU10HD041261 · NICHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI RICHTER, HOLLY E · 2001 to 2015
$5.1M
UNC Pelvic Floor Disorders Research CollaborativeU10HD041267 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI VISCO, ANTHONY G · 2001 to 2015
$5.0M
Pelvic Floor Disorders NetworkU10HD054214 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LUKACZ, EMILY S. · 2006 to 2015
$3.3M
The Cleveland Clinic Clinical SiteU10HD054215 · NICHD · CLEVELAND CLINIC LERNER COM-CWRU · PI BARBER, MATTHEW D · 2006 to 2015
$3.2M
Brown/WIH Pelvic Floor Disorders Network Site (UG1)UG1HD069013 · NICHD · WOMEN AND INFANTS HOSPITAL-RHODE ISLAND · PI Vivian W Sung · 2016 to 2026
$3.1M
Pelvic Floor Disorders Network Clinical Sites (UG1)UG1HD069010 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI Heidi S Harvie · 2016 to 2026
$3.0M
Pelvic Floor Disorders Network Clinical Site Application: The San Diego PelvicFloor ConsortiumUG1HD054214 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI EMILY S. LUKACZ, Shawn A Menefee · 2016 to 2026
$2.9M
Duke University Medical Center (DUMC) Pelvic Floor Disorders Network (PFDN) Clinical SiteUG1HD041267 · NICHD · DUKE UNIVERSITY · PI NAZEMA Y SIDDIQUI · 2016 to 2026
$2.8M
Pelvic Floor Disorders Network Clinical Sites (U10)U10HD069010 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI ARYA, LILY A · 2011 to 2015
$1.7M
NCATS NIH HHS UL1 TR002369NICHD NIH HHS U01 HD069031NICHD NIH HHS U10 HD041261NICHD NIH HHS U10 HD041267NICHD NIH HHS U10 HD054214NICHD NIH HHS U10 HD054215NICHD NIH HHS U10 HD069006NICHD NIH HHS U10 HD069010NICHD NIH HHS U10 HD069013NICHD NIH HHS U10 HD069025NICHD NIH HHS U24 HD069031NICHD NIH HHS UG1 HD041261NICHD NIH HHS UG1 HD041267NICHD NIH HHS UG1 HD054214NICHD NIH HHS UG1 HD054215NICHD NIH HHS UG1 HD069006NICHD NIH HHS UG1 HD069010NICHD NIH HHS UG1 HD069013NICHD NIH HHS UG1 HD069025
6 · The paper itself

Abstract

backgroundUrinary microbiome (urobiome) studies have previously reported on specific taxa and community differences in women with mixed urinary incontinence compared with controls. Therefore, a hypothesis was made that higher urinary and vaginal microbiome diversity would be associated with increased urinary incontinence severity.

objectiveThis study aimed to test whether specific urinary or vaginal microbiome community types are associated with urinary incontinence severity in a population of women with mixed urinary incontinence. STUDY

designThis planned secondary, cross-sectional analysis evaluated associations between the urinary and vaginal microbiomes and urinary incontinence severity in a subset of Effects of Surgical Treatment Enhanced With Exercise for Mixed Urinary Incontinence trial participants with urinary incontinence. Incontinence severity was measured using bladder diaries and Urinary Distress Inventory questionnaires collected at baseline. Catheterized urine samples and vaginal swabs were concurrently collected before treatment at baseline to assess the urinary and vaginal microbiomes. Of note, 16S rRNA V4 to V6 variable regions were sequenced, characterizing bacterial taxa to the genus level using the DADA2 pipeline and SILVA database. Using Dirichlet multinomial mixtures methods, samples were clustered into community types based on core taxa. Associations between community types and severity measures (Urinary Distress Inventory total scores, Urinary Distress Inventory subscale scores, and the number of urinary incontinence episodes [total, urgency, and stress] from the bladder diary) were evaluated using linear regression models adjusted for age and body mass index. In addition, alpha diversity measures for richness (total taxa numbers) and evenness (proportional distribution of taxa abundance) were analyzed for associations with urinary incontinence episodes and community type.

resultsOverall, 6 urinary microbiome community types were identified, characterized by varying levels of common genera (Lactobacillus, Gardnerella, Prevotella, Tepidimonas, Acidovorax, Escherichia, and others). The analysis of urinary incontinence severity in 126 participants with mixed urinary incontinence identified a Lactobacillus-dominated reference group with the highest abundance of Lactobacillus (mean relative abundance of 76%). A community characterized by fewer Lactobacilli (mean relative abundance of 19%) and greater alpha diversity was associated with higher total urinary incontinence episodes (2.67 daily leaks; 95% confidence interval, 0.76-4.59; P=.007) and urgency urinary incontinence episodes (1.75 daily leaks; 95% confidence interval, 0.24-3.27; P=.02) than the reference group. No significant association was observed between community type and stress urinary incontinence episodes or Urogenital Distress Inventory total or subscores. The composition of vaginal community types and urinary community types were similar but composed of slightly different bacterial taxa. Vaginal community types were not associated with urinary incontinence severity, as measured by bladder diary or Urogenital Distress Inventory total and subscale scores. Alpha diversity indicated that greater sample richness was associated with more incontinence episodes (observed genera P=.01) in urine. Measures of evenness (Shannon and Pielou) were not associated with incontinence severity in the urinary or vaginal microbiomes.

conclusionIn the urobiome of women with mixed urinary incontinence, a community type with fewer Lactobacilli and more diverse bacteria was associated with more severe urinary incontinence episodes (total and urgency) compared with a community type with high predominance of a single genus, Lactobacillus. Whether mixed urinary incontinence severity is due to lesser predominance of Lactobacillus, greater presence of other non-Lactobacillus genera, or the complement of bacteria consisting of urobiome community types remains to be determined.

Indexed as

MicrobiotaSeverity of Illness IndexVaginaAdultAgedCross-Sectional StudiesFemaleHumansMiddle AgedRNA, Ribosomal, 16SUrinary IncontinenceUrinary Incontinence, StressUrinary Incontinence, UrgeUrineRNA, Ribosomal, 16Sbladder microbiomemixed urinary incontinenceurinary incontinenceurinary incontinence severityurobiomevaginal microbiome

Identifiers

PMID38937257
PMCPMC11211640

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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.