Management of pelvic fracture-associated urethral injuries: A survey of Canadian urologists
Bibliographic record
Abstract
INTRODUCTION: The management of pelvic fracture-associated urethral injuries (PFUI) is not standardized and optimal management is controversial. We surveyed Canadian urologists about their experiences and opinions regarding optimal management of PFUI. METHODS: Canadian urologists were surveyed via an anonymous, bilingual, web-based, 12-item questionnaire. A total of 735 Canadian urologists were invited to participate via email distributed by the Canadian Urological Association. RESULTS: Of the 146 urologists who participated (19.9% response rate), the majority practice at a trauma centre (53.2%), but manage only 1-5 PFUI/year (71.5%). Most participants (82.6%) favour primary realignment compared to suprapubic (SP) tube with delayed repair (15.3%) and immediate reconstruction (2.1%). Compared to SP diversion and delayed repair, the majority of participants believe primary realignment is associated with equivocal incontinence (61.2%) and erectile dysfunction rates (75.8%), but has lower stricture rates (73.0%). Among respondents who perform primary realignment, 45.4% concurrently place a SP tube, while 54.6% do not. While 91% believe SP tubes do not increase the risk of pelvic hardware infections, 31.6% report that orthopedic surgeons alter their management of pelvic fractures in the presence of a SP tube. CONCLUSIONS: Most Canadian urologist respondents - even those practicing at trauma centres - manage very few PFUIs/year. There is reasonable consensus among respondents that primary realignment is favourable to delayed or immediate reconstruction, but discordance on whether or not to place concurrent SP tubes. The urological and orthopedic consequences of SP tubes in the management of traumatic urological injuries warrant further investigation.
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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 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".