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Record W4413032317 · doi:10.2196/70813

Variability in the Diagnosis and Treatment of Interstitial Cystitis/Bladder Pain Syndrome: Internet Survey

2025· article· en· W4413032317 on OpenAlexvenueno aff
Amanda L. Garrett, Erika Kline, Pressley Smith, Madelyn Wiesenhahn, Jeanette Petit, Alison Swierczynski, Carley Zhou, Stuart B. Bauer, Rosalyn M. Adam, Kamil E. Barbour, Sonja I. Ziniel, Catherine A. Brownstein

Bibliographic record

VenueJMIR Formative Research · 2025
Typearticle
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsnot available
FundersNational Center for Chronic Disease Prevention and Health Promotion
KeywordsInterstitial cystitisMedicineUrinationEthnic groupLogistic regressionUrinary urgencyInternal medicinePhysical therapyUrinary systemOveractive bladderPathologyAlternative medicine

Abstract

fetched live from OpenAlex

Background: Interstitial cystitis/bladder pain syndrome (IC/BPS) is a complex, chronic condition affecting the urinary bladder. Symptoms commonly associated with IC/BPS include painful urination, pain during intercourse, a persistent or recurrent sensation of bladder discomfort or pressure that often worsens as the bladder fills and eases after urination, urgency, frequent urination with little warning, nighttime urination disrupting sleep, and burning or other unusual urinary sensations. These symptoms can profoundly impact emotional and mental health, hinder participation in daily activities, disrupt social interactions, and strain personal relationships. Objective: This study aimed to compare the experiences of different races and ethnicities with IC/BPS regarding symptoms, diagnosis, treatment status, and treatment methods. We hypothesized that there would be differences in racial and ethnic minority groups. Methods: A cross-sectional web-based survey was administered between June and August 2022 through the Interstitial Cystitis Association and the Inspire web-based health community. Eligible adults resided in the United States, self-reported IC/BPS symptoms, and completed the survey in English. The instrument gathered demographic information, details regarding age at symptom onset, formal diagnosis status, and treatment use. Validated symptom and problem indices (the O'Leary-Sant Interstitial Cystitis Symptom Index and Problem Index) captured symptom severity and quality-of-life impact. Comparative analyses, including Fisher exact and median tests, were conducted across racial or ethnic groups (minority or multiple-race vs White and Hispanic vs non-Hispanic), and multivariable logistic regression assessed predictors of race or ethnicity on IC/BPS diagnosis status and treatment outcomes. Results: In total, 1631 individuals completed the survey. Racial or ethnic minority or multiple-race respondents constituted 11.6% (n=189) of the sample. Although IC/BPS symptom severity (Interstitial Cystitis Symptom Index or Interstitial Cystitis Problem Index scores) did not significantly differ by race or ethnicity, minority or multiple-race respondents were 50% less likely to have a formal medical diagnosis of IC/BPS than White respondents (adjusted odds ratio 0.50, 95% CI 0.30-0.83). Overall, 86.7% (n=1408) of participants reported having received a formal IC/BPS diagnosis, and the single strongest determinant of receiving any form of treatment was having a formal diagnosis (odds ratio 29.67, 95% CI 18.32-48.05). Over 25% (n=385) of all respondents reported using narcotic or opioid medications, indicating the challenging nature of IC/BPS symptom management. Conclusions: Minority or multiple-race participants were significantly less likely to have ever been diagnosed with IC/BPS by a health care professional, and those who were not diagnosed with IC/BPS were less likely to have used self-care behavioral and nonpharmacological treatments for their symptoms. Streamlining the diagnostic process and public health awareness campaigns outlining treatment options may help individuals manage IC/BPS symptoms.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.091
GPT teacher head0.431
Teacher spread0.340 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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