Aquablation versus TURP: 5-year outcomes of the WATER randomized clinical trial for prostate volumes 50-80 mL.
Bibliographic record
Abstract
INTRODUCTION: To report the 5-year efficacy and safety of Aquablation compared with transurethral resection of the prostate for the management of lower urinary tract symptoms secondary to benign prostatic hyperplasia in men with prostate volumes 50-80 mL. MATERIALS AND METHODS: In a large double-blinded, multicenter, and prospective randomized controlled trial, 96 randomized men with 50-80 mL prostates who underwent Aquablation or transurethral prostate resection were prospectively identified for subgroup analysis. Follow up was performed for up to 5 years. The primary efficacy endpoint was the reduction in International Prostate Symptom Score (IPSS) at 6 months. The primary safety endpoint was the occurrence of Clavien-Dindo (CD) postoperative complications grade 1 persistent and grade 2 or higher at 3 months. RESULTS: Both groups had comparable baseline characteristics. Reduction in IPSS score was significantly higher in the Aquablation group across 5 years of follow up (-14.1 vs. -10.8, p = 0.02). The Aquablation group achieved a significantly lower rate of CD1P and CD2 or higher events at 3 months follow up (risk difference of -23.1%). Among recorded adverse events, de novo postoperative ejaculatory dysfunction was notably lower in Aquablation (risk difference of -21.9%), while the risk of bleeding remained similar after 6 months. The surgical and medical retreatment rate at 6 months was also lower in Aquablation (risk difference of -14.4%). CONCLUSIONS: In the 50-80 mL prostate volume subgroup, Aquablation yields superior long-term symptom relief and lower complication rates than standard transurethral resection, with notably lower rates of ejaculatory dysfunction. This further supports the adoption of Aquablation for men with medium-sized prostates.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".