Rezūm water vapor therapy for catheter-dependent urinary retention: a real-world Canadian experience.
Bibliographic record
Abstract
INTRODUCTION: This analysis reported outcomes of treating catheter-dependent urinary retention with Rezūm water vapor therapy. MATERIALS AND METHODS: A prospective registry was established at two high-volume Canadian centers. Patients had baseline medical and benign prostatic hyperplasia (BPH) history documented. The subgroup of patients with refractory, catheter-dependent urinary retention was analyzed. The primary outcome was the proportion of patients who were spontaneously voiding and catheter-free at 6 months. RESULTS: Sixteen patients (age: 68.7 years) with catheter-dependent urinary retention were treated with Rezūm. Average prostate volume was 84.4 mL and 75% had median lobe. All patients had at least one recent failed trial without catheter (TWOC) and 87.5% were on BPH oral therapy. Mean number of vapor injections was 14.5. Visibility and bleeding during procedure were assessed using a 5-point scale, and were rated as 1.4 and 1.3, respectively. Anesthesia was either intravenous propofol sedation (n = 13) or self-administered methoxyflurane inhaler (n = 3). Mean catheter duration until first planned TWOC was 28.4 days. Three patients needed catheter replacement due to initial failed TWOC. One patient was lost to follow up, one patient did not return at 1 month, and one patient did not return at 3 months. At 1 month, 13/14 patients were spontaneously voiding and catheter-free. At 3 months, 14/14 patients were spontaneously voiding, and at 6 months, 15/15 patients were spontaneously voiding and catheter-free (1 patient was lost to follow up). CONCLUSIONS: Rezūm water vapor therapy can successfully treat catheter-dependent urinary retention after initial failed TWOC in an outpatient setting.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".