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Record W1774786187 · doi:10.5489/cuaj.475

Penile fracture and associated urethral injury: Experience at a tertiary care hospital

2013· article· en· W1774786187 on OpenAlexvenueno aff
Amit Attam, Arun Kerketta, Bharat Kumar Behera, Navin Ram, Sameer Trivedi, Shankar Dwivedi Udai

Bibliographic record

VenueCanadian Urological Association Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicUrological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePenile fractureUrethraPenisSurgeryPelvic fractureTertiary careEmergency department

Abstract

fetched live from OpenAlex

INTRODUCTION: Penile fracture may be associated with urethral trauma in 1% to 38% of cases. We present our experience in treating 8 such cases. METHODS: Data were collected retrospectively from hospital records and from out-patient department follow-up visits. RESULTS: The mean age of the patients was 30.4 years; trauma during coitus was the most common cause of the penile fracture. One patient presented after 7 days. Two patients had normal examination of their penis despite typical history. All fractures were repaired on an emergency basis via subcoronal incision. In 2 patients with normal findings, the urethra had to be mobilized to locate the site of the injury. In 1 patient, the site of the urethral trauma was 1 cm away from the site of the corporal injury, which was localized by injecting sterile methylene blue per urethra. Postoperatively, all patients voided with good flow and had erections with adequate rigidity. CONCLUSION: A high level of suspicion for urethral injury during surgical exploration is warranted, especially in the presence of suggestive history and examination.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.005
GPT teacher head0.217
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations30
Published2013
Admission routes1
Has abstractyes

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