A 10-Year Multicentre Experience of Australian Penile Fracture Repair Outcomes
Bibliographic record
Abstract
Objectives and Methods: Penile fractures are a urologic emergency involving the rupture of the tunica albuginea of the corpora cavernosum. Geography is known to impact fracture aetiology, and higher impact aetiology is thought to predispose patients to complex trauma. To review long-term urinary and sexual outcomes following fracture repair in Australia, a retrospective analysis of data from three metropolitan hospital services over 10 years was performed. Only patients with intraoperatively confirmed fractures were included. Patients were contacted by clinicians to complete a survey, which utilised validated questionnaires, including the International Index of Erectile Function-5 (IIEF-5) and the International Prostate Symptom Score (IPSS). Perioperative data were analysed against survey responses. Results: We identified 55 confirmed penile fractures. Twenty-one patients completed questionnaire follow-ups, comprising the study cohort. The median age at the time of the injury was 44.8 years (range: 25–65). The median time from injury to questionnaire completion was 4.0 years (range: 1–10). Furthermore, 95.5% (20) of the injuries occurred during sexual intercourse. The median IIEF-5 score was 23 (range: 5–25); the median IPSS score was 5 (range: 0–22). Seven patients (33.3%) sustained a bilateral cavernosal injury, and eight (38.1%) sustained a urethral injury. Upon conducting a Mann–Whitney U test, no significant relationships were found between bilateral cavernosal injury and IIEF-5 scores (p = 0.7377) or urethral injury and IPSS scores (p = 0.5338). Conclusions: The Australian aetiology of penile fractures appears consistent with that of other Western countries, with subsequent high rates of bilateral cavernosal and urethral injuries. The long-term erectile and urinary function outcomes observed are promising. A larger prospective study would further illuminate the relationship between injury factors and outcomes, revealing information not presented herein due to study limitations relating to the cohort size and follow-up rates.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".