Climacturia Following Radical Prostatectomy: Prevalence and Risk Factors
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: Following radical prostatectomy urine leakage during orgasm is a poorly defined entity. We defined the prevalence, quantity, bother and coping mechanisms associated with this complication, called climacturia. MATERIALS AND METHODS: A self-administered questionnaire was given to a cohort of sexually active men after radical prostatectomy. We inquired about the frequency, quantity, bother and coping mechanisms associated with climacturia. We also recorded uroflowmetry and an American Urological Association symptom score (International Prostate Symptom Score) in each patient. RESULTS: Of the 42 patients enrolled with a mean age of 58.9 years and average time since radical prostatectomy of 23.6 months climacturia was reported in 19 (45%). Of the men 68% reported that it happened rarely or only occasionally, while 21% reported that it occurred most of the time or always. In terms of urine quantity 58% of respondents reported only a few drops but 16% reported a loss of more than 1 ounce. Of the patients 52% percent reported no or minimal bother but 48% reported that climacturia caused significant bother. Only 21% of respondents thought that it was of significant bother to their partners. Of the respondents 84% emptied the bladder before intercourse and 11% used condoms. Age, Gleason score and time since surgery were not predictors of climacturia. No association between peak urine flow on uroflowmetry or International Prostate Symptom Score and climacturia was found. CONCLUSIONS: Climacturia is a common clinical entity, occurring in almost half of all patients after radical prostatectomy. It can be a significant problem with respect to urine volume loss, associated bother and condom use. Patients must be informed about this complication before undergoing radical prostatectomy.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it