Initial clinical experience with selective bladder denervation for refractory overactive bladder
Bibliographic record
Abstract
AIMS: To report the initial clinical experience with selective bladder denervation (SBD) of the trigone in women with refractory overactive bladder (OAB). METHODS: Females with refractory OAB underwent SBD of the bladder sub-trigone region. Patients were treated using a 10-s voltage-controlled radiofrequency (RF) algorithm (RF10) at study onset. The protocol was modified during the study after which point remaining patients received 60-s temperature-controlled RF (RF60). Patients were followed for 12 weeks and evaluated for adverse events and changes in OAB symptoms. Exploratory analyses on the influence of RF duration were performed. RESULTS: Among 63 patients, SBD resulted in statistically significant and clinically important improvements for most outcomes. Comparing RF10 (n = 34) to RF60 (n = 29), treatment benefit was greater with RF60 including mean reduction in urgency urinary incontinence (-2.5 vs -0.9; P < 0.01), urinary incontinence (-2.6 vs -0.8; P < 0.001), and total urgency and frequency score (-13 vs -7; P = 0.02); and improvements in symptom bother (-33 vs -18; P < 0.01) and quality of life (28 vs 16; P = 0.02) on the OAB questionnaire. The proportion of urgency urinary incontinence treatment responders (≥50% reduction in episodes) was 79% with RF60 and 31% with RF10. The frequency of device- or procedure-related adverse events was comparable in RF10 versus RF60 groups (14.7% vs 17.2%). CONCLUSIONS: This study demonstrated the feasibility of SBD in alleviating symptoms of refractory OAB. A 60-s RF algorithm using deeper ablations of the sub-trigonal tissues was more effective and comparably safe to a 10-s RF algorithm using more superficial ablations.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".