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Enregistrement W4413207734 · doi:10.3389/fruro.2025.1654550

Overcoming the therapeutic plateau in overactive bladder: a grand challenge in female urology

2025· editorial· en· W4413207734 sur OpenAlex
Bilal Chughtai, J.M. Berían Polo, Naeem Bhojani, Kevin C. Zorn, Dean Elterman

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Notice bibliographique

RevueFrontiers in Urology · 2025
Typeeditorial
Langueen
DomaineMedicine
ThématiqueUrinary Bladder and Prostate Research
Établissements canadiensUniversity of TorontoUniversité de Montréal
Organismes subventionnairesnon disponible
Mots-clésUrologyOveractive bladderMedicinePlateau (mathematics)PathologyAlternative medicineMathematics

Résumé

récupéré en direct d'OpenAlex

1. Defining the Challenge: What is Overactive Bladder? Overactive bladder (OAB) is a symptom-based syndrome characterized by urinary urgency, usually accompanied by frequency and nocturia, with or without urgency urinary incontinence, in the absence of infection or other identifiable pathology. While disproportionately affecting women, OAB also occurs in men, often alongside conditions like benign prostatic hyperplasia (BPH). Recognizing sex- and gender-based differences in presentation and treatment response is essential for inclusive and effective care. Despite its high prevalence - affecting 30–40% of women1, 2 – OAB remain underdiagnosed, and undertreated. Common therapies such as antimuscarinics and beta-3 agonists suffer from limited adherence due to side effects and insurance hurdles.3 Invasive options like neuromodulation and botulinum toxin injections, although effective for some, after often reserved for late-stage intervention.4 The current model of care fails to address the chronic and multidimensional nature of the condition. 2. Biological, Behavioral, and Molecular ComplexityOAB is not a single disease entity, but rather a multifactorial syndrome shaped by hormonal status, aging, pelvic floor integrity, neurologic input, and psychosocial stressors. This complexity is often overlooked in current clinical pathways, which remain overly linear and simplified. Diagnostic tools such as urodynamics are underutilized or misinterpreted, and behavioral components are rarely addressed in a structured way. Many patients present with mixed symptoms or comorbid pelvic pain, yet care remains fragmented.Early diagnosis is foundational to effective OAB management but remains a significant gap in practice. Many women delay seeking care due to embarrassment or the misconception that symptoms are a normal part of aging. Primary care providers may miss subtle signs or misattribute symptoms to less concerning causes. Increasing awareness and equipping clinicians with accessible screening tools—such as symptom checklists, digital pre-screening apps, and validated questionnaires—could significantly reduce time to treatment, particularly among high-risk and postmenopausal women.A recent community-based study by Chughtai et al. demonstrated that targeted education among minority women significantly improved OAB symptom control and quality of life, highlighting the impact of structured outreach and patient empowerment. Targeted education programs, especially in underserved communities, have demonstrated encouraging outcomes in symptom relief and quality of life. Early intervention is essential not only to improve patient well-being, but also to prevent progression and long-term complications.In parallel, emerging molecular research is reshaping how OAB might be understood and stratified. Biomarkers associated with central and peripheral neural function, smooth muscle architecture, and extracellular matrix remodeling offer promise for more refined phenotyping and individualized therapy. Epigenetic mechanisms that regulate detrusor muscle activity and inflammation may also contribute to symptom development. Moving forward, interdisciplinary collaboration—including input from basic scientists, molecular biologists, and neurobiologists—will be essential to fully explore these pathways and translate them into meaningful clinical applications.3. Diagnostic Pathways and Their Limitations Although multiple guideline-based treatment options are available, patient satisfaction remains low. 3 Pharmacologic therapies, particularly oral medications, are often discontinued due to side effects, limited effectiveness, or insurance restrictions. More advanced options like percutaneous tibial nerve stimulation and sacral neuromodulation can be effective, but they require sustained time, access, and commitment—barriers that deter many patients. As a result, treatment is frequently discontinued after one or two unsuccessful attempts.To improve outcomes, the treatment paradigm must prioritize persistence, personalization, and patient-centered approaches over rigid, stepwise algorithms.5On the diagnostic side, evaluations typically start with symptom questionnaires, voiding diaries, and urinalysis. Urodynamic studies, while informative, are often underutilized due to their invasive nature, cost, and limited availability. Imaging is generally reserved for complicated cases. These diagnostic tools are not consistently integrated into a cohesive framework and often fail to account for the complex and multifactorial nature of OAB.There is a clear need for a more comprehensive, non-invasive diagnostic model that incorporates behavioral assessments, validated instruments, wearable sensor data, and potentially molecular diagnostics. Such a framework could improve diagnostic accuracy, personalize treatment plans, and shorten the interval between symptom onset and effective intervention.4. Therapeutic Plateau and Underling Barriers While guideline-based treatments exist, patient satisfaction remains low due to fragmented care and poor follow-through. Real-world adherence to medications is limited by tolerability and systemic barriers. Even advanced therapies such as sacral neuromodulation or tibial nerve stimulation are underutilized due to logistical challenges.6Emerging technologies—such as app-based bladder training, AI-assisted voiding diaries, digital behavioral therapy, and wearable sensors—show promise in improving engagement and adherence.7 Closed-loop neuromodulation and minimally invasive implants could enhance therapeutic precision. Yet these innovations require robust infrastructure, clinician training, and reimbursement frameworks. .4, 5Pharmacovigilance studies have revealed differential neuropsychiatric side effect profiles for commonly prescribed agents, emphasizing the need for more personalized prescribing. Fragmented treatment algorithms that assume linear response patterns fail to accommodate the fluctuating nature of symptoms. There is a need for adaptable, chronic care models to replace one-size-fits-all strategies5. Toward a New Paradigm: Multidisciplinary and Personalized Care Longitudinal data from real-world studies highlight lapses in follow-up and discontinuity of care, particularly after advanced interventions.8 A chronic disease management model is essential—one that incorporates pelvic floor physical therapy, behavioral health support, shared decision-making, and ongoing patient monitoring.7Future care models should integrate wearable technologies, digital therapeutics, and individualized patient feedback. 4, 5 Clinical trials must move beyond short-term endpoints and incorporate real-world data, patient-reported outcomes, and durability of effect. There is also a need for stratified trial design based on molecular or neurophysiologic phenotypes.Collaboration with behavioral scientists, neurologists, and molecular biologists will expand the field’s research capacity and improve translation into clinical care. Even speculative ideas—such as epigenetic profiling or CNS-bladder interaction models—can catalyze innovation.6. ConclusionThe Grand Challenge in female urology is to redefine overactive bladder as a biologically and behaviorally complex, chronically relapsing syndrome. To achieve meaningful progress, we must move beyond therapeutic recycling and invest in coordinated, multidisciplinary, and data-driven models of care. By doing so, we can overcome current limitations and build a future where patients – regardless of gender – receive accurate diagnosis, tailored interventions, and enduring relief.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesIntégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,528
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0020,005
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,016
Tête enseignante GPT0,310
Écart entre enseignants0,294 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle