ArticlePloS one2023
ShinyLUTS-A Shiny web application for structured data management and analysis for patients with lower urinary tract symptoms (LUTS).
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Data Quality Assurance Tool for the Acute to Chronic Pain Signatures Study (A2CPS): An Interactive R Shiny Application.medRxiv : the preprint server for health sciences · 2026Article
- Predicting 30-day in-hospital mortality in ICU asthma patients: a retrospective machine learning study with external validation.BMC pulmonary medicine · 2025Article
- Real-world experience of water vapour therapy (Rezum) in patients with benign prostatic enlargement: a retrospective single-center study.Prostate cancer and prostatic diseases · 2025Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesClinical, time-dependent, therapeutic and diagnostic data of patients with LUTS are highly complex. To better manage these data for therapists' and researchers' we developed the application ShinyLUTS. MATERIAL AND
methodsThe statistical programming language R and the framework Shiny were used to develop a platform for data entry, monitoring of therapy and scientific data analysis. As part of a use case, ShinyLUTS was evaluated for patients with non-neurogenic LUTS who were receiving Rezum™ therapy.
resultsThe final database on patients with LUTS comprised a total of 8.118 time-dependent parameters in 11 data tables. Data entry, monitoring of therapy as well as data retrieval for scientific use, was deemed feasible, intuitive and well accepted.
conclusionThe ShinyLUTs application presented here is suitable for collecting, archiving, and managing complex data on patients with LUTS. Aside from the implementation in a scientific workflow, it is suited for monitoring treatment of patients and functional results over time.
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