Evidence map›Paper›PMID 41328479›Full record

ArticleBJU international2026

Urologic chronic pelvic pain syndrome 3-year symptom trajectories: the Multidisciplinary Approach to the Study of Chronic Pelvic Pain (MAPP) Symptom Patterns Study.

Catherine S Bradley, Mengying You, Wensheng Guo, Niloofar Afari, Priyanka Gupta, Karl J Kreder, John N Krieger, H Henry Lai, Susan K Lutgendorf, Bruce D Naliboff and 7 more

Abstract readMulticenter Study
In one paragraph

Article in BJU international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
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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

17 authors.

Catherine S BradleyDepartment of Obstetrics and Gynecology, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.ORCID https://orcid.org/0000-0002-7402-5476
Mengying YouSchool of Statistics and Data Science, Shanghai University of International Business and Economics, Shanghai, China.
Wensheng GuoDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Niloofar AfariDepartment of Psychiatry, University of California San Diego School of Medicine, San Diego, CA, USA.
Priyanka GuptaDepartment of Urology, University of Michigan, Ann Arbor, MI, USA.
Karl J KrederDepartment Urology, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
John N KriegerDepartment of Urology, University of Washington School of Medicine, Seattle, WA, USA.
H Henry LaiDepartment of Surgery (Urology) and Anesthesiology, Washington University School of Medicine, St Louis, MO, USA.
Susan K LutgendorfDepartment of Psychological and Brain Sciences, Obstetrics and Gynecology and Urology, University of Iowa, Iowa City, IA, USA.
Bruce D NaliboffDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Siobhan SutcliffeDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Frank TuEndeavor Health and Pritzker School of Medicine, University of Chicago, Chicago, IL, USA.
David A WilliamsDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI, USA.
Tara McWilliamsDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Larissa RodriguezDepartment of Urology, Weill Cornell Medicine, New York, NY, USA.
J Richard LandisDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Multidisciplinary Approach to the Study of Chronic Pelvic Pain (MAPP) Research Network

Funding

NIH HHS
6 · The paper itself

Abstract

objectivesTo characterise 3-year pelvic pain and urinary symptom trajectories and to identify baseline factors associated with urologic chronic pelvic pain syndrome (UCPPS) improvement. PATIENTS AND

methodsThe Trans-Multidisciplinary Approach to the Study of Chronic Pelvic Pain (MAPP) Symptom Patterns Study was a multicentre, prospective cohort study of UCPPS, including interstitial cystitis/bladder pain syndrome and chronic prostatitis/chronic pelvic pain syndrome. Patients completed four weekly run-in assessments, baseline visit, and quarterly visits up to 3 years, providing clinical and patient-reported data. A functional clustering approach, applied separately to Pelvic Pain Severity (PPS) and Urinary Symptom Severity (USS) longitudinal change scores, was used to generate symptom trajectory clusters dichotomised as Group 0 'improvers' vs Groups 1-3 'non-improvers'. Logistic regression models explored baseline factors associated with improvement and included run-in period average and baseline scores to adjust for regression to the mean effects.

resultsA total of 545 patients (66% female) were followed for a median (interquartile range) of 34 (23-35) months. Four trajectory clusters were identified for each of PPS and USS, consistent with moderate improvement (Group 0), slight improvement (Group 1), no change (Group 2), and slight worsening (Group 3). In all, 18% and 19% of patients were in the moderately improved PPS and USS groups, respectively, representing 30% of patients overall. Female sex, better sleep, and less opioid use were associated with PPS improvement (Group 0); younger age and baseline cystoscopic treatment were associated with USS improvement (Group 0).

conclusionIn all, 30% of patients with UCPPS demonstrated improvement in pain and/or urinary symptoms over 3 years. Baseline factors associated with improvement may represent markers of a milder or localised phenotype and/or treatment effects.

Indexed as

Chronic PainCystitis, InterstitialPelvic PainProstatitisAdultAgedFemaleHumansMaleMiddle AgedPain MeasurementProspective StudiesSeverity of Illness IndexSyndromebladder pain syndromechronic prostatitiscohort studyepidemiologyinterstitial cystitis

Identifiers

PMID41328479
PMCPMC12789841

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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.