Trial reportInternational urology and nephrology2015
Assessment of overactive bladder in women antidepressant users.
Trial report in International urology and nephrology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- Serum Serotonin Levels as a Potential Risk Factor for Overactive Bladder in a Community-Dwelling Population: A Four-Year Longitudinal Study.Lower urinary tract symptoms · 2025Article
- The Association between Depression and Overactive Bladder: A Cross-Sectional Study of NHANES 2011-2018.International urogynecology journal · 2025Article
- The association between serum serotonin levels and overactive bladder: results from a community-based cross-sectional study in Japan.World journal of urology · 2021Article
- Urinary incontinence associated with anxiety and depression: the impact of psychotropic drugs in a cross-sectional study from the Norwegian HUNT study.BMC psychiatry · 2020Article
- Evaluation of Overactive Bladder in Male Antidepressant Users: A Prospective Study.International neurourology journal · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of this study was to evaluate the relationship between overactive bladder (OAB) and use of antidepressants in women.
methodsThis is a prospective trial, and in total, 205 consecutive female (113 patient taking antidepressants for various disorders and 92 healthy controls) outpatients from our outpatients were enrolled in this study. The patients were also divided into those with OAB symptoms, OAB-Validated 8 (OAB-V8 score of ≥8), and without OAB symptoms <8. The prevalence of OAB in the antidepressant users and healthy controls was compared. In addition, the prevalence of OAB was compared according to antidepressant type.
resultsThe mean age of the participants was 36 ± 13 years. The demographic data of the two groups (OAB-V8 ≥ 8 and OAB-V8 < 8) were similar. The Beck Depression Inventory, OAB-V8, and Incontinence Questionnaire--Short Form scores of the antidepressant users were significantly higher than those of the control group (p < 0.001, p < 0.001, and p = 0.001, respectively). The prevalence of OAB was significantly higher in antidepressant users (64 %) than in the control group (33 %) (p = 0.003). The highest prevalence of OAB was detected in patients taking fluoxetine (63.6 %), and the lowest was observed in those taking sertraline (42.3 %) (p = 0.038).
conclusionThere were more OAB symptoms in antidepressant users than in control group. Each SSRI and SNRI has a unique pharmacological profile, and this could explain the opposing reports in the literature. We recommend that patients taking antidepressants be carefully monitored for OAB symptoms.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.