A 12-month feasibility study to investigate the effectiveness of cryogen-cooled monopolar radiofrequency treatment for female stress urinary incontinence
Bibliographic record
Abstract
INTRODUCTION: The purpose of this early feasibility study was to evaluate the safety and efficacy of a non-ablative, cryogen-cooled, monopolar radiofrequency (CMRF) treatment for female stress urinary incontinence (SUI). METHODS: Subjects meeting all the inclusion and exclusion criteria were enrolled and randomized into two groups. Subjects in group 1 received one CMRF treatment and subjects in group 2 received two CMRF treatments six weeks apart. Followup visits were performed at one, four, six, and 12 months post-treatment. At each study visit, subjects performed an objective, standardized one-hour pad weight test and completed several patient-reported outcome measures, a seven-day bladder voiding diary, and safety assessments. RESULTS: Data indicate an improvement in SUI symptoms and quality of life for subjects, as determined by validated SUI-related patient-reported outcomes and the objective one-hour pad weight test, with a >50% reduction in pad weight from baseline for 52% of the subjects at 12 months. In addition to efficacy, the CMRF treatment was well-tolerated and safe. CONCLUSIONS: The outcome measures evaluated indicate an improvement in SUI symptoms and quality of life. The sustained benefit of the CMRF vaginal treatment at 12 months suggests potential use as an office-based, non-surgical approach to treat mild to moderate SUI.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".