ArticleBJUI compass2026
Bedside risk score for medical therapy failure in small-volume BPH: Temporal validation.
Article in BJUI compass, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Bedside risk score for medical therapy failure in small-volume BPH: Temporal validation.BJUI compass · 2026Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Medical therapy is the first-line treatment for lower urinary tract symptoms (LUTS) secondary to benign prostatic hyperplasia (BPH). However, predictors of treatment failure in men with small prostate volume (<30 ml) remain poorly defined. This study aimed to develop and temporally validate a simple bedside risk score for predicting medical therapy failure in this specific subgroup. Methods: We performed a retrospective cohort study of 201 men aged ≥50 years with IPSS ≥8 and prostate volume <30 ml who started medical therapy between 2015 and 2025. Treatment failure was defined as surgical intervention, acute urinary retention or IPSS worsening by ≥4 points. Independent predictors were identified using multivariable logistic regression. A practical integer risk score was derived from the strongest predictors. Temporal validation was conducted by splitting the cohort chronologically (derivation set 2015-2020, Results: During a median follow-up of 24 months, 66 patients (32.8%) experienced treatment failure. Independent predictors included higher IPSS, greater BPH Impact Index, increased intravesical prostatic protrusion, lower maximum flow rate, higher post-void residual volume and diabetes mellitus. The bedside risk score stratified patients into low-risk (0-3 points: 11.0% failure), moderate-risk (4-7 points: 32.9%) and high-risk (8-13 points: 77.5%) categories. The model demonstrated good discrimination (AUC 0.789; bootstrap-corrected 0.782) and maintained strong performance in temporal validation (derivation AUC 0.799; validation AUC 0.821). Conclusion: This novel bedside risk score reliably predicts medical therapy failure in small-volume BPH using readily available clinical parameters. It may enable early risk stratification and timely intervention, particularly in populations with high diabetes prevalence.
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