Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Validation of Distinct Bladder Pain Phenotypes Utilizing the MAPP Research Network Cohort.

International urogynecology journal - 1 Mar 2024

Nettey Oluwarotimi Sewedo, Gu Cindy, Jackson Nicholas James, Ackerman A Lenore

Abstract excerpt

INTRODUCTION AND HYPOTHESIS: As interstitial cystitis/bladder pain syndrome (IC/BPS) likely represents multiple pathophysiologies, we sought to validate three clinical phenotypes of IC/BPS patients in a large, multi-center cohort using unsupervised machine learning (ML) analysis. METHODS: Using the female Genitourinary Pain Index and O'Leary-Sant Indices, k-means unsupervised clustering was utilized to define...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Chronic Pain
Share to Multicenter Studies as Topic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Phenotype

Share to Urinary Bladder

Source

Open in PubMed Open full text

Identifiers

PMID: 38300276
DOI: 10.1007/s00192-024-05735-1
PMCID: PMC11023803

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Validation of Distinct Bladder Pain Phenotypes Utilizing the MAPP Research Network Cohort.PMID 38300276Read ↗

Pelvic Floor Muscle Dysfunction is associated with higher clinical symptoms but not bladder condition in Women with Interstitial Cystitis/Bladder Pain SyndromeSemantic proximity Read ↗

Development and Validation of a Machine Learning Algorithm to Classify Lower Urinary Tract SymptomsSemantic proximity Read ↗

Is Pelvic Floor Muscle Tenderness a Distinct Urologic Chronic Pelvic Pain Syndrome Phenotype? Findings from the Multidisciplinary Approach to the Study of Chronic Pelvic Pain Research Network Symptom Pattern Study.Semantic proximity Read ↗

A Review of the Etiopathology of Phenotypes in Interstitial Cystitis/Bladder Pain Syndrome.Semantic proximity Read ↗

Comparison of deep phenotyping features of UCPPS with and without Hunner lesion: A MAPP-II Research Network Study.Semantic proximity Read ↗

Clinical phenotyping of urologic pain patients.Semantic proximity Read ↗

Myofascial Frequency Syndrome: A novel syndrome of bothersome lower urinary tract symptoms associated with myofascial pelvic floor dysfunctionSemantic proximity Read ↗

Mapping of pain phenotypes in female patients with bladder pain syndrome/interstitial cystitis and controls.Semantic proximity Read ↗

Phenotype-directed management of interstitial cystitis/bladder pain syndrome.Semantic proximity Read ↗

Machine Learning-based Classification of transcriptome Signatures of non-ulcerative Bladder Pain SyndromeSemantic proximity Read ↗

Clinical and psychological parameters associated with pain pattern phenotypes in women with interstitial cystitis/bladder pain syndrome.Semantic proximity Read ↗

A Metabolic-Inflammatory Phenotype of Pelvic Floor Dysfunction: A Machine Learning-Based Discovery in a Nationally Representative U.S. CohortSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.